Machine Learning Jobs

スキルハウス・スタッフィング・ソリューションズ 株式会社

Executive Director - Fintech (Data Science & Treasury Technology) About the Role Join a leading global investment banking organization as Executive Director, leading mission-critical treasury and regulatory technology initiatives at the executive level. This highly strategic role offers direct exposure to senior leadership and global stakeholders, with the opportunity to influence enterprise-wide data and regulatory technology strategy within a complex financial environment. You will spearhead large-scale initiatives covering liquidity management, funding operations, regulatory capital, and front-office domains while working in an international, collaborative environment with significant business impact. Key Responsibilities Lead comprehensive liquidity and regulatory capital reporting initiatives across global treasury and finance domains Define and implement enterprise-level data governance frameworks, standards, and scalable data solutions Act as principal technology architect for big data environments and advanced analytics platforms Partner strategically with treasury, regulatory, compliance, and technology stakeholders to drive transformational initiatives Translate complex treasury funding and liquidity business requirements into robust enterprise technology solutions Provide executive-level leadership and strategic direction for large-scale data transformation programs Collaborate with senior stakeholders across global business and technology functions to ensure alignment with organizational objectives Oversee development and implementation of regulatory reporting systems to ensure compliance with international banking regulations Drive innovation in data analytics and machine learning applications for treasury operations Manage cross-functional teams and coordinate with international offices to deliver unified technology solutions Present strategic recommendations and progress updates to C-suite executives and board members Required Qualifications Experience: Minimum 10 years of hands-on experience across data engineering, analytics, governance, and big data domains Leadership: Proven executive-level leadership experience managing enterprise-scale data initiatives with demonstrable business impact Industry Knowledge: Strong understanding of Treasury Funding and Treasury Liquidity regulations in global banking environments Technical Expertise: Deep knowledge of high-frequency trading systems and front-office technology environments Stakeholder Management: Demonstrated experience communicating effectively with senior executive stakeholders and board-level leadership Education: Bachelor's degree from accredited university; advanced degree in relevant field preferred Languages: Fluent Japanese and advanced English communication skills required Authorization: Valid work authorization for Japan required Preferred Qualifications Advanced degree in Finance, Computer Science, Data Science, or related technical field Experience with cloud-based data platforms and modern analytics frameworks Knowledge of international banking regulations including Basel III/IV requirements Background in financial risk management and regulatory capital optimization Experience with agile project management methodologies Work Environment & Benefits Work Style: Hybrid working model with flexibility for one day work from home per week Schedule: Standard business hours (Monday through Friday) Time Off: Comprehensive holiday package including Saturdays, Sundays, National Holidays, paid leave, and additional company holidays Compensation: Competitive compensation package with annual bonus structure Career Growth: Stable long-term career environment with exposure to enterprise-scale global initiatives Culture: International working environment with extensive senior stakeholder exposure and cross-cultural collaboration opportunities Impact: Direct involvement in shaping the future of financial technology and regulatory compliance in one of the world's leading investment banks This role represents an exceptional opportunity for a seasoned technology executive to make a transformational impact on global treasury operations while advancing their career in a prestigious financial institution.

Aalto University

About the Role Join Aalto University's Department of Electrical Engineering and Automation as a Postdoctoral Researcher in Socially Aware Autonomy, focusing on pedestrian intention prediction, communication, and real-time risk estimation. This position offers an exceptional opportunity to advance cutting-edge research in predictive, human-aware autonomy for industrial vehicles and robots operating in human-populated environments. Working within the Mobile Robotics Group under the supervision of Assistant Professor Tomasz Kucner and Professor Simo Särkkä, you will lead groundbreaking research that bridges the gap between autonomous systems and human safety. Your work will directly contribute to safer, more efficient interactions between autonomous machines and pedestrians in urban and industrial settings. Key Responsibilities Lead research initiatives in socially aware autonomous systems, developing novel approaches to human-machine interaction in dynamic environments Develop and implement advanced pedestrian intention prediction algorithms and trajectory forecasting models that enable proactive safety measures Design human-machine communication protocols that enhance action legibility and improve trust between autonomous systems and human operators Create real-time risk estimation frameworks that enable autonomous vehicles and robots to assess and mitigate potential hazards dynamically Integrate perception and prediction capabilities with robust sensor fusion and distributed computation systems, collaborating closely with the Sensor Informatics and Medical Technology Group Publish high-quality research in top-tier conferences and journals, contributing to the global knowledge base in autonomous systems Develop and maintain codebases that support research reproducibility and enable technology transfer to industrial applications Create compelling demonstrations that showcase research outcomes and validate approaches in realistic scenarios Collaborate with industry partners to translate research findings into practically deployable solutions for logistics, ports, mining, and tunneling applications Contribute to project milestone achievements and participate in dissemination activities including stakeholder events and technology showcases Mentor junior researchers and students, fostering the next generation of experts in socially aware autonomy Participate in international collaborations and research exchanges to advance the field globally Requirements PhD degree in robotics, computer science, electrical engineering, or closely related field Demonstrated expertise in socially aware autonomy, human intention prediction, and real-time risk assessment for human-robot or vehicle-pedestrian interaction scenarios Strong technical background in machine learning and probabilistic modeling specifically applied to motion prediction and behavioral analysis Proven experience with temporal deep learning models and multimodal perception systems for understanding human behavior Publication record demonstrating contributions to autonomous systems, human-robot interaction, or related fields Programming proficiency in relevant languages such as Python, C++, or similar, with experience in machine learning frameworks Experience with real-time systems and understanding of computational constraints in autonomous applications Knowledge of sensor technologies and data fusion techniques commonly used in autonomous vehicles and robotic systems Strong analytical and problem-solving skills with ability to work independently on complex technical challenges Excellent communication skills and demonstrated ability to collaborate effectively with multidisciplinary teams Experience coordinating with academic and industry partners on research projects Preferred Qualifications Experience deploying machine learning models on edge devices or embedded systems Background in safety-critical system design and validation Familiarity with industrial automation environments Previous work in autonomous vehicle development or mobile robotics What We Offer Engagement with leading experts in robust estimation and predictive autonomy within a world-renowned research environment International collaboration opportunities with options for targeted research exchanges and conference participation Direct industrial impact through close collaboration with industry stakeholders in safety-critical domains Access to state-of-the-art facilities and computational resources at Aalto University Professional development support including training opportunities and career advancement pathways Comprehensive benefits package including occupational health care and access to Finland's extensive social security system Competitive compensation commensurate with experience and qualifications Work-life balance in Finland's consistently top-ranked quality of life environment Diverse and inclusive workplace that actively promotes equality and international collaboration This 2.5-year position offers the potential for extension based on performance and funding availability. The starting date is flexible around June 2026, with discussions welcome to accommodate mutual scheduling needs. About Aalto University Aalto University represents the convergence

Aalto University

About the Role Aalto University's Department of Information and Communications Engineering seeks an outstanding Postdoctoral Researcher in Statistical Signal Processing to join the Structured and Stochastic Modeling Group, led by Prof. Filip Elvander. This position offers an exceptional opportunity to conduct cutting-edge research at the intersection of statistical signal processing, applied mathematics, and emerging 6G wireless technologies. The research focuses on modeling complex modern radio environments where diverse devices and agents share available spectrum. This work is crucial for understanding spatio-temporal radio characteristics and lies at the heart of integrated sensing and communications (ISAC), expected to be a core component of next-generation wireless systems. Key Research Focus The project centers on optimal transport for inverse problems applied to radio spectrum analysis. Optimal transport theory, which addresses mathematical problems of comparing and interpolating distributions of mass, has gained significant attention in applied mathematics and machine learning due to its flexibility, mathematical elegance, and state-of-the-art results across numerous applications. As part of a larger consortium with industrial partners, you'll collaborate with world-class researchers spanning estimation and optimization theory to hardware design, contributing to both foundational theoretical advances and industry-relevant applications. Primary Responsibilities Develop mathematical models for describing complex radio environments and multi-agent spectrum sharing scenarios Design and implement algorithms for estimating location and spectral characteristics of signal sources using antenna array measurements Apply optimal mass transport theory and convex modeling techniques to solve inverse problems in signal processing Conduct research in cognitive and adaptive spectrum use, contributing to the development of future wireless systems Investigate passive-sensing applications for target and signal source localization Collaborate with interdisciplinary team members across applied mathematics, signal processing, and communications engineering Publish high-quality research findings in peer-reviewed journals and present at international conferences Contribute to grant applications and research proposals for continued funding Provide guidance and mentorship to doctoral researchers within the group Participate in academic conferences, workshops, and collaborative meetings with consortium partners Engage in knowledge transfer activities with industrial partners Required Qualifications PhD degree in Applied Mathematics, Engineering Physics, Electrical Engineering, or closely related field Strong publication record demonstrating research excellence and impact Excellent English proficiency in both written and spoken communication Advanced programming skills in Matlab and Python, with experience in implementing complex algorithms Deep understanding of statistical signal processing, estimation theory, and optimization methods Knowledge of applied mathematics including convex optimization, probability theory, and statistical modeling Experience with inverse problems and computational mathematics approaches Familiarity with array signal processing and antenna array technologies Preferred Qualifications Background in optimal transport theory or related mathematical frameworks Experience with machine learning applications in signal processing Knowledge of information theory and wireless communications systems Previous exposure to multi-disciplinary research environments Experience mentoring graduate students or early-career researchers Track record of collaboration with industry partners Personal Attributes Curious mindset with passion for fundamental research and theoretical exploration Strong appetite for working with advanced mathematical theory and methods Interest in multi-disciplinary research spanning mathematics, engineering, and communications Collaborative spirit and ability to work effectively in international, diverse teams Leadership potential for guiding and inspiring doctoral researchers Adaptability to work in dynamic research environments with evolving objectives What We Offer The Department of Information and Communications Engineering provides a world-class research environment with strong international collaborations and cutting-edge facilities. You'll join a diverse, multicultural workplace that actively promotes inclusivity and welcomes qualified candidates from all backgrounds. Research Environment Benefits: Access to expertise from world-leading researchers across the consortium Collaborative community of doctoral and postdoctoral researchers State-of-the-art research facilities and computational resources Opportunities for international conference presentations and networking Strong industry connections through consortium partnerships Professional Development: Excellent learning and development opportunities Mentorship and career guidance from established faculty Exposure to both theoretical foundations and practical applications Opportunities to develop grant writing and project management skills University Benefits: Competitive compensation according to Finnish university salary system Comprehensive occupational health care services Commuter ticket benefits and transportation support Access to Unisport recreational and fitness facilities Supportive work-life balance policies Position Details This is a **two-

SA Health

About the Role Join the Southern Adelaide Local Health Network at Flinders Medical Centre as an AI Graduate Officer and launch your career at the forefront of healthcare innovation. This full-time, 12-month contract position offers an exceptional opportunity to contribute to our Digital Health team's cutting-edge AI initiatives while developing expertise in one of healthcare's most rapidly evolving fields. As an Artificial Intelligence Graduate Officer, you will play a vital role in advancing AI-enabled services across our healthcare network. This position combines technical innovation with meaningful healthcare outcomes, allowing you to make a direct impact on patient care through technology solutions. You'll work within a collaborative environment that values innovation, continuous learning, and professional development. Key Responsibilities Assist with the planning, execution, and delivery of AI-related projects and programs across the Digital Health portfolio Support the AI Officer in implementing critical AI activities including governance frameworks, solution evaluation processes, AI education initiatives, and system implementation projects Conduct comprehensive research and analysis to inform AI solution development and strategic decision-making Develop, maintain, and update AI-related documentation, policies, and procedures to enhance service delivery and operational efficiency Analyze complex healthcare data and information systems to identify opportunities for AI enhancement and optimization Contribute to the evaluation and assessment of emerging AI technologies and their potential applications in healthcare settings Support cross-functional collaboration with clinical teams, IT departments, and external agencies to ensure seamless AI integration Participate in stakeholder engagement activities and present findings to various audiences including technical and non-technical staff Monitor AI system performance and outcomes, providing regular reporting and recommendations for improvements Assist in the development of training materials and educational resources for AI tool adoption across the organization Stay current with industry trends, best practices, and regulatory requirements related to AI in healthcare Support quality assurance processes and compliance activities related to AI implementations Requirements Education: Completion of a relevant undergraduate or postgraduate qualification in clinical discipline, ICT, computer science, software engineering, project management, business analysis, or related field Technical Skills: Strong ICT capabilities with demonstrated problem-solving abilities and analytical thinking Independence: Proven capacity to work both collaboratively within team environments and independently on assigned projects AI Experience: Experience using publicly available AI tools for research, analysis, creativity, critical thinking, coding, and/or task automation is highly advantageous Communication: Excellent written and verbal communication skills with the ability to explain technical concepts to diverse audiences Adaptability: Demonstrated ability to learn new technologies quickly and adapt to changing requirements in a dynamic healthcare environment Attention to Detail: Strong organizational skills with meticulous attention to accuracy in documentation and analysis Healthcare Understanding: Knowledge of healthcare systems, clinical workflows, and patient care processes preferred What We Offer Competitive salary package with attractive benefits Comprehensive salary sacrifice benefits program allowing tax-effective payment of everyday expenses Flexible working arrangements including part-time options and various work-from-home possibilities Professional development opportunities in the rapidly growing field of healthcare AI Supportive team environment focused on innovation and continuous learning Access to cutting-edge technology and AI tools Opportunity to make meaningful contributions to patient care and healthcare outcomes Career advancement pathways within the South Australian public health sector Comprehensive onboarding and mentorship programs Additional Information This position requires satisfactory completion of a Criminal History Check and compliance with immunisation requirements as outlined in SA Health's vaccination policy. The South Australian public sector actively promotes diversity and inclusion, encouraging applications from all backgrounds. Aboriginal and Torres Strait Islander applicants are particularly encouraged to apply.

Toyota Material Handling Europe

About the Role Toyota Material Handling Europe is strengthening our Enterprise Architecture (EA) team with a strategic architect who will play a pivotal role in shaping the AI and Data landscape across our European operations. As a key member of our EA team, you will contribute to the full Enterprise Architecture model while focusing on direction, principles, and guardrails that support scalable, harmonized, and business-aligned development. This is a strategic EA position where you will drive alignment, support architectural and investment decisions, and guide our AI program, Data team, Solution Architecture, and business stakeholders by providing structure, direction, and decision support. You will work in close collaboration with established AI, Data, and Security capabilities, connecting perspectives and shaping a coherent architecture rather than implementing technical solutions directly. Key Responsibilities Contribute to and shape enterprise-level AI and Data architecture principles, target states, and reference patterns Drive direction for Information and Data architecture, including data domains, information structure, interoperability, and ownership models Ensure alignment between business needs, AI initiatives, data platforms, and the overall EA model Translate business requirements and transformation objectives into actionable architectural guidance Support decision-making processes in relevant governance and investment forums Collaborate with the AI program, Data team, Solution Architects, CISO, and Legal teams to support scalable, secure, and compliant solutions Contribute to architecture governance and reviews from an AI and data perspective Support business areas in exploring and scaling data-driven and AI-enabled capabilities Help strengthen architectural understanding and ways of working across TMHE Facilitate structured dialogue between technical and business stakeholders Develop and maintain architectural documentation, standards, and best practices Provide guidance on technology selection and platform decisions related to AI and data initiatives Support the development of data governance frameworks and policies Mentor and build architectural maturity within the organization Requirements Broad experience in Enterprise Architecture or related strategic architecture roles Strong understanding of data-driven architecture with genuine interest in AI and emerging capabilities Ability to see the holistic picture and understand how processes, data, applications, and platforms interact to create business value Proven experience engaging with business stakeholders and facilitating structured dialogue Demonstrated ability to translate business needs into architectural guidance and technical direction Comfortable working in data-driven environments where AI increasingly influences business processes Excellent communication skills with ability to explain complex technical concepts clearly and pragmatically Curious, collaborative mindset with confidence to take leadership when required Interest and ability to teach, guide, and build architectural maturity across the organization Strong analytical and problem-solving capabilities Experience with architectural frameworks and methodologies Knowledge of data management principles, data governance, and information architecture Understanding of AI/ML concepts and their enterprise implications Familiarity with cloud platforms and modern technology stacks Experience working in international, multicultural environments Fluent in spoken and written English Relevant education in Computer Science, Information Systems, Engineering, or related field What We Offer At Toyota Material Handling Europe, we don't just offer jobs—we offer careers with purpose. Join over 13,500 passionate colleagues who support companies across Europe with today's and tomorrow's material handling challenges. You'll have the opportunity to work with AI and data at a strategic level in a truly international organization that creates technology keeping the world moving. We're committed to supporting your success with an attractive benefits package, including yearly bonus opportunities and flexible work arrangements that promote healthy work-life balance. With clear goals and direction from senior leadership, you'll find abundant opportunities for career growth and development within our organization. Our culture celebrates continuous learning and development, whether you're developing new skills or leading ground-breaking projects. Collaboration is at the heart of everything we do, and we foster a supportive, open environment where every voice is heard and valued. Work from our headquarters in Mjölby, Sweden, or Willebroek, Belgium, and be part of an extraordinary journey as we Move the world towards easy and sustainable solutions.

Unicredit S.p.A. - Romania Branch

About the Role We are seeking 2 Senior Digital Product Specialists to join our dynamic team at UniCredit, a leading international banking group. These positions offer exciting opportunities to work with cutting-edge technology and drive digital transformation in the financial services industry. Position 1: Senior Digital Product Specialist (Technical – Java & Data) You will take comprehensive technical ownership of digital products within a complex enterprise landscape that combines established systems with innovative solutions across multiple platforms. Our environment encompasses Java-based applications and critical batch processing chains on traditional infrastructures, alongside interfaces and data products being modernized and migrated to Google Cloud Platform (GCP). Simultaneously, new cloud-native components are being developed using modern technologies and architectures. Position 2: Senior Digital Product Specialist (SAP ERP Product Specialist) As an SAP ERP Technical Analyst, you will participate in all aspects of the SAP Application Management lifecycle, including design, customization, testing, and support. Working from our Bucharest office, you will collaborate with technical resources and external partners for daily support activities and new implementation projects within the Group Technology Office Area. Key Responsibilities For Position 1 (Java & Data Specialist): Take full technical ownership of products across their entire lifecycle, including maintenance, optimization, enhancements, and modernization initiatives Drive solution design and implementation using Java/Spring Boot, including development of services and batch processing systems Execute complex troubleshooting and implement permanent remediation strategies covering code, configuration, data, and performance optimization Define and enforce robust operational safety patterns including controlled reruns, correction logic guardrails, and comprehensive recovery mechanisms Coordinate technical delivery with architects, business analysts, and external service providers, establishing clear expectations, quality gates, and escalation procedures Ensure exceptional quality and reliability through proactive incident and problem management with structured root cause analysis Maintain comprehensive technical documentation and operational runbooks Monitor system performance and implement continuous improvements to enhance scalability and reliability For Position 2 (SAP ERP Specialist): Contribute to change projects, maintenance activities, and support operations in partnership with external providers Assess standard SAP solutions against business requirements and evaluate customized solutions for optimal fit Develop technical specifications and collaborate closely with external implementation partners Manage and oversee mainframe jobs and programs to ensure optimal performance Control and guide external teams performing maintenance activities for applications under your responsibility Fulfill security requirements and serve as application owner/expert for assigned systems Act as primary interface between various Business units within the Group and external partners, functioning in an RTO (Retained Technical Organization) capacity Participate in month-end close processes and ensure accurate financial reporting Support end-to-end implementation projects and provide ongoing system optimization Requirements For Position 1 (Java & Data Specialist): Core Technical Skills: Extensive Java experience in enterprise backend development and batch processing Proficiency with Spring Boot, REST APIs, and enterprise integration patterns Solid experience with Java runtime environments and application servers (JBoss/WildFly/Tomcat or equivalent) Strong SQL and Oracle/PL-SQL expertise for data-intensive systems and complex investigations Advanced Linux/Unix skills including runtime troubleshooting, scripting fundamentals, and log/metrics analysis Frontend Capabilities: Ability to troubleshoot end-to-end workflows involving UI layers such as PrimeFaces and/or Angular frameworks Engineering & Delivery Excellence: Proficiency with Git/Bitbucket, CI/CD pipeline management, and release management disciplines Strong documentation mindset and attention to detail Demonstrated ownership mentality with ability to balance stability, delivery timelines, and technical debt management Preferred Qualifications: Experience with modern data platforms and analytical access layers (e.g., Dremio usage/consumption) Exposure to cloud-native architectures and GCP services For Position 2 (SAP ERP Specialist): Hands-on experience with SAP ERP in at least two of the following modules: FI (Financial Accounting), CO (Controlling), RE-FX (Real Estate), SD (Sales & Distribution), MM (Materials Management) Fundamental understanding of SAP FI/CO organizational structures including General Ledger, Cost Centers/Elements, Activity Types/Rates, and Company Codes for global organizations Demonstrated experience with month-end close processes and financial reporting End-to-

Marimekko

About the Role Join Marimekko, a renowned Finnish lifestyle design company, as we transform our business operations through artificial intelligence. This is not a traditional machine learning role – our focus is on building AI into business workflows and products that drive real impact across our global retail operations. Marimekko has been an icon of original prints and colors since 1951, with a product portfolio spanning high-quality clothing, bags, accessories, and home décor items. With over 170 stores globally and an online presence serving 39 countries, we're at the point where AI needs to become integral to how our company operates across Northern Europe, Asia-Pacific, and North America. Key Responsibilities AI Integration & Business Workflow Development Build AI capabilities directly into real business workflows rather than creating isolated use cases Transform AI from experimental technology into scalable, operational capabilities Develop AI-powered solutions across pricing and promotions, assortment and demand forecasting, customer insights and personalization, and retail operations Move beyond traditional dashboards to deliver actionable AI outputs that drive business decisions Technical Implementation & Infrastructure Design and implement LLM-based solutions including copilots and intelligent assistants Build robust data pipelines specifically for AI use cases Establish evaluation, monitoring, and feedback loops for AI systems Work closely with existing data platform infrastructure including Fivetran and Snowflake Develop APIs and integrations that support AI-powered business processes Rapid Prototyping & Strategic Scaling Prototype AI solutions quickly using modern APIs and LLM technologies Make strategic decisions about which solutions should be productionized and scaled Balance development speed with system robustness based on business impact Experiment with emerging AI technologies and evaluate their potential for business application Cross-Functional Collaboration Partner with teams across retail, e-commerce, and operations to identify AI opportunities Help business teams actually implement and use AI solutions effectively Translate business requirements into technical AI solutions Provide guidance on AI best practices and implementation strategies Requirements Technical Expertise Strong hands-on experience with APIs and data pipeline development Proficiency with modern AI stack including LLMs, embeddings, and vector databases Experience building end-to-end AI solutions, not just developing models Understanding of data architecture and integration patterns Familiarity with cloud platforms and scalable system design Business-Focused Mindset Ability to question whether something should be built, not just how to build it Focus on measurable business impact over technical elegance Comfortable working with ambiguity and evolving strategic direction Experience translating business needs into technical requirements Understanding of retail, e-commerce, or consumer goods industry dynamics preferred Professional Qualities Strong problem-solving skills and analytical thinking Excellent communication skills for cross-functional collaboration Self-directed work style with ability to manage multiple priorities Adaptability to work in a fast-paced, international business environment Passion for innovation and emerging technologies What We Offer Company Culture & Values Work with an iconic Finnish brand recognized globally for design excellence Join a company culture founded on equality, inclusion, and diversity Opportunity to be yourself in an environment that values fairness and collaboration Work in an exciting international business environment across multiple markets Professional Development Unique opportunity to shape AI strategy at a leading lifestyle design company Exposure to diverse business functions across retail, e-commerce, and operations Collaborate with talented teams across our global organization Contribute to the digital transformation of an established, successful brand Marimekko values a diverse workforce and encourages applications from all qualified candidates regardless of background. We believe in finding joy in our work while using common sense and working together toward shared goals. Join us in revolutionizing how AI powers the future of retail and lifestyle design.

RECRUITERS

About the Role Are you a Dutch speaker ready to launch your career in the dynamic world of artificial intelligence and technology? We're seeking motivated individuals to join our expanding international team in Dublin, working on cutting-edge AI language technology. This entry-level position offers an excellent gateway into the tech industry, with comprehensive training provided for candidates with no prior experience. This is a 3-month contract position with potential for extension, based on-site in Dublin, Ireland. You'll be joining a brand-new team during an exciting expansion phase, contributing to the development and improvement of AI language systems through detailed linguistic work. Key Responsibilities Listen to and analyze short audio recordings in Dutch with precision and attention to detail Transcribe audio content accurately, maintaining high quality standards Review and validate linguistic content to ensure consistency and accuracy Work with various text, audio, and data formats as part of the AI training process Follow comprehensive quality guidelines and protocols to maintain project standards Support machine learning systems by improving language accuracy and understanding Collaborate with team members to ensure consistent approach to tasks Participate in regular quality assessments and feedback sessions Maintain detailed records of work completed and any issues encountered Contribute to process improvements and best practice development Requirements Native Dutch speaker or C1 proficiency level (ESSENTIAL) English proficiency at B2 level or above Excellent attention to detail and ability to maintain accuracy over extended periods Strong focus and ability to handle repetitive tasks with consistency Reliable, motivated attitude with strong work ethic Ability to work effectively both independently and as part of a team Good time management skills and ability to meet deadlines Basic computer literacy and comfort with digital tools Willingness to learn new technologies and adapt to evolving processes Strong communication skills for collaborative work environment Must be able to commute reliably to Dublin or relocate before starting What We Offer Comprehensive training program - no previous experience required Entry point into the rapidly growing AI and technology sector Opportunity to work with cutting-edge artificial intelligence systems Collaborative international work environment Professional development opportunities within the tech industry Potential for contract extension based on performance and business needs Competitive compensation package Opportunity to be part of a dynamic, newly formed team Exposure to innovative AI language technology projects This role represents an ideal opportunity for Dutch speakers to enter the technology sector and gain valuable experience in artificial intelligence and machine learning. You'll be working at the forefront of language technology development, contributing to systems that are shaping the future of human-computer interaction. Work Location: Dublin, Ireland (On-site) Contract Duration: 3 months with extension possibilities

Qualcomm

About the Role Join Qualcomm China's Engineering Group as a Systems Engineer specializing in robotic vision perception systems. This position offers an exciting opportunity to work at the forefront of robotics and computer vision technology, developing cutting-edge solutions that enable autonomous robots to perceive, understand, and interact intelligently with complex environments. You'll be part of a world-class R&D team working on next-generation robotic systems that integrate advanced vision processing with real-world applications. Key Responsibilities Design and implement comprehensive robotic vision perception modules including object detection, recognition, tracking, and semantic segmentation systems Develop sophisticated multimodal perception frameworks by integrating data from diverse sensors including RGB cameras, depth sensors, LiDAR, and IMU systems Build and optimize machine learning models for critical robotic functions such as object detection, pose estimation, instance segmentation, and scene understanding Research and develop core algorithms for 3D reconstruction, simultaneous localization and mapping (SLAM), and visual-inertial navigation systems Collaborate closely with planning and control engineering teams to ensure seamless integration between perception modules and decision-making systems Optimize perception algorithms for real-time performance on embedded and edge computing platforms Conduct extensive testing and validation of vision systems across various environmental conditions and use cases Create comprehensive technical documentation, contribute to patent applications, and participate in academic publications and conferences Mentor junior engineers and contribute to technical knowledge sharing within the organization Stay current with emerging technologies in computer vision, deep learning, and robotics research Requirements Master's degree or higher in Computer Vision, Robotics, Electrical Engineering, Computer Science, or closely related technical field Strong theoretical foundation and practical experience in computer vision fundamentals including image processing, feature extraction, and pattern recognition Proven expertise in modern object detection frameworks (YOLO, R-CNN variants, Transformer-based detectors) and semantic segmentation architectures Solid understanding of 3D geometry, camera calibration, stereo vision, and photogrammetry principles Experience with multi-sensor fusion techniques and probabilistic robotics frameworks Proficiency in Python and/or C++ with experience in computer vision libraries (OpenCV, PCL) and deep learning frameworks (PyTorch, TensorFlow) Knowledge of robotics middleware and frameworks such as ROS/ROS2 for system integration Strong mathematical background in linear algebra, probability theory, and optimization methods Excellent problem-solving abilities and capability to work independently on complex technical challenges Preferred Qualifications Hands-on experience deploying robotic vision systems in real-world applications including mobile robots, robotic manipulators, autonomous vehicles, or service robotics Familiarity with state-of-the-art vision architectures including Vision Transformers (ViT), attention mechanisms, and neural radiance fields Experience with edge AI deployment, model optimization, and hardware acceleration techniques Contributions to open-source robotics or computer vision projects demonstrating technical leadership Publications in top-tier conferences or journals in computer vision or robotics Experience with cloud robotics, distributed perception systems, or robot fleet management Knowledge of safety-critical systems design and validation methodologies What We Offer Access to cutting-edge vision and robotics technologies and research facilities Collaboration with internationally recognized R&D teams and participation in global technical initiatives Flexible work arrangements supporting work-life balance in an innovative, open technical environment Competitive compensation package with comprehensive benefits Clear career development pathways with opportunities for technical and leadership growth Professional development support including conference attendance and continuing education Opportunity to contribute to breakthrough technologies that will shape the future of robotics and AI Qualcomm is an equal opportunity employer committed to providing an inclusive and accessible workplace for all individuals, including those with disabilities.

Aalto University

Aalto University - Academic Position About Aalto University Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our vibrant community consists of: 120 nationalities represented 14,000 students 400 professors Close to 5,000 faculty and staff members Located on our dynamic campus in Espoo, Greater Helsinki, Finland, we are committed to fostering an inclusive environment where diversity thrives. Our Commitment to Diversity Diversity is fundamental to who we are. We actively work to ensure our community's diversity and inclusiveness, which is why we warmly encourage qualified candidates from all backgrounds to join our community and contribute to our mission of creating a sustainable future through innovative research and education.

Schlumberger

SLB Digital Opportunities SLB is leading our industry into digital transformation. Our digital technology experts harness the full power of data to solve the domain's biggest challenges. We leverage the elasticity and collaboration of the cloud, apply the efficiency of high-performance computing, tap into the connectivity of the Industrial Internet of Things (IIoT), and create the industry's most advanced data ecosystems. About Our Team Data drives everything we do, and our teams are at the heart of each innovation, collaborating with interdisciplinary experts to shape our dynamic global industry. With more than 90 technology centers worldwide, we have cultivated the industry's most expansive innovation network. What You'll Do Collaborate with the world's brightest minds to solve challenges others deem impossible Apply the latest technologies in a creative environment where breakthroughs flourish Develop solutions that make a measurable impact on operations in one of the world's most dynamic industries Work across global centers from Silicon Valley to Europe to Asia What We Offer Robust, dynamic training in emerging technologies Comprehensive professional development programs Support at every stage of your SLB journey Opportunity to work in cutting-edge technology centers worldwide Who We're Looking For We are seeking highly skilled graduates in digital technology areas to join our innovative team and contribute to our industry-leading digital transformation initiatives.

Kone

About KONE Technology and Innovation (KTI) KONE Technology and Innovation (KTI) is the innovation hub of KONE, where we seamlessly integrate the physical world of escalators and elevators with intelligent, connected digital systems. Our mission is to transform and enhance how billions of people move within buildings daily through cutting-edge digital solutions built on emerging technologies. About KONE IT As part of the KTI unit, KONE IT powers the organization with sustainable information flow. We are a multinational, diverse team of techno-functional professionals serving as trusted partners to KONE's business lines and functions. Our focus is on transforming and operating business operations through modern, scalable, and purpose-built IT solutions. We drive KONE's digital transformation journey by delivering cloud-based IT services, artificial intelligence (AI), and automation solutions. Our technology expertise enables differentiation, productivity, and business growth by leveraging technological disruption as a competitive advantage. Join Our Team Be part of a dynamic, global organization that's revolutionizing vertical transportation through innovative technology solutions. Work alongside talented professionals who are passionate about creating sustainable, intelligent systems that improve urban mobility worldwide.

Aalto University

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14,000 students, 400 professors and close to 5,000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community's diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

Aalto University

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14,000 students, 400 professors and close to 5,000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community's diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

Inria

Type de contrat : CDD Niveau de diplôme exigé : Bac + 5 ou équivalent Fonction : Doctorant Contexte et atouts du poste Context and funding: This position is funded by the PEPR AS3 project. Within this framework, the HUCEBOT team is developing multimodal strategies for online control and adaptation of dynamic legged robot platforms. This PhD project explores quality diversity optimization as an alternative to traditional reinforcement learning for robot control. While reinforcement learning typically converges to a single solution for a specific task, quality diversity methods learn repertoires of policies that can solve different tasks or approach the same task in multiple ways. The research will investigate structured approaches to policy search, combining behavioral exploration, diversity-driven optimization, and meta-learning for rapid adaptation. A particular focus will be on integrating multimodal human feedback to enable intuitive adaptation in collaborative scenarios involving physical interaction, such as assistive manipulation or wearable exoskeletons. The goal is to develop more flexible and adaptable robot behaviors suited for real-world human-robot collaboration. About the team: The candidate will join the Human Centered Robotics team (HUCEBOT) in the Inria Center of the University of Lorraine in Nancy, France. The team HUCEBOT develops control, learning, and interaction skills of human-centered robots, such as humanoid, mobile manipulators and exoskeletons. The team develops learning and control algorithms for teleoperated / supervised / autonomous robots, involved in complex manipulation tasks in man-made environments. It also develops AI-based control for wearable exoskeletons designed to assist humans at work, drones and quadrupeds to explore complex environments. The team has excellent robotics facilities, including several humanoid robots (Talos, iCub, G1), manipulators, drones, passive and active exoskeletons, wearable sensors, force plates etc. Its laboratory has a 3D printing facility and a mechatronic workshop for prototyping and maintenance, and a motion capture room with Qualisys and Xsens sensors. The team consists of many research scientists, postdocs, PhD and has the support of 1 software and 1 mechatronics engineer. The team is international - English and French speaking. French is not required, although free French classes are available in the institute for non-French speakers. About the laboratory and Nancy: The Inria Center of the University of Lorraine, is co-located with the Loria laboratory, in the Science and Technology Campus of the University of Lorraine (Nancy, France), next to the Botanical Gardens, at 20 minutes by public transportation or bike from the Nancy train station and City Center. Several student residences and facilities are at walking distance. Nancy is a University town, with a high quality of life and a vibrant student, Erasmus and expat community. Life is Nancy is very affordable compared to Paris, it is easy to find a student residence or apartment. Team members can also access to SUAPS, the University’s sports facilities. About Nancy in France: Nancy is the capital of the Grand Est region in France. It is well connected by train to Paris (90 min), Strasbourg (90 min), Luxembourg and Germany. There are direct trains from Nancy to the Paris airport CDG and the Luxembourg airport LUX. The region around Nancy is ideal for outdoor activities: there are many country trails, long bike trails, forests, mountains, lakes, ski in winter too. Mission confiée This PhD project explores quality diversity optimization as an alternative to traditional reinforcement learning for robot control. While reinforcement learning typically converges to a single solution for a specific task, quality diversity methods learn repertoires of policies that can solve different tasks or approach the same task in multiple ways. The research will investigate structured approaches to policy search, combining behavioral exploration, diversity-driven optimization, and meta-learning for rapid adaptation. A particular focus will be on integrating multimodal human feedback to enable intuitive adaptation in collaborative scenarios involving physical interaction, such as assistive manipulation or wearable exoskeletons. The goal is to develop more flexible and adaptable robot behaviors suited for real-world human-robot collaboration. The candidate will collaborate with Guillaume Bellegarda (researcher), Enrico Mingo Hoffman (researcher), Jean-Baptiste Mouret (researcher), Serena Ivaldi (researcher), and Mohamed Chetouani (Professor, Sorbonne Université). Principales activités Review state-of-the-art in quality diversity optimization and meta-learning for robot control. Develop learning-based frameworks for acquiring diverse policy repertoires. Investigate online adaptation and policy selection strategies for dynamic task variations. Integrate multimodal human feedback for adaptive human-robot collaboration. Deploy and validate controllers in hardware experiments on collaborative robotic platforms. Analyze results, write papers and dissertation. Compétences Technical skills: Background in robotics, control, machine learning. Excellent skills and/or experience with simulation frameworks (i.e. Isaac, MuJoCo), reinforcement learning, and motion planning Excellent skills in Python, C++, ROS Interest and preferably experience in manipulation and legged robots Soft skills: Excellent communication skills at work, and ability to report progress Not afraid of challenging projects. Rigour and intellectual honesty Curiosity and desire to learn Practical mindset and ability to develop robust and reliable solutions Autonomy and organizational skills Love working in a multi-cultural environment Team player Avantages Restauration subventionnée Transports publics remboursés partiellement Congés: 7 semaines de congés annuels + 10 jours de RTT (base temps plein) + possibilité d'autorisations d'absence exceptionnelle (ex : enfants malades, déménagement) Possibilité de télétravail (après 6 mois d'ancienneté) et aménagement du temps de travail Équipements professionnels à disposition (visioconférence, prêts de matériels informatiques, etc.) Prestations sociales, culturelles et sportives (Association de gestion des œuvres sociales d'Inria) Accès à la formation professionnelle Sécurité sociale Rémunération 2300 € gross/month Informations générales Thème/Domaine : Robotique et environnements intelligents Calcul Scientifique (BAP E) Ville : Villers lès Nancy Centre Inria : Centre Inria de l'Université de Lorraine Date de prise de fonction souhaitée : 2026-03-01 Durée de contrat : 3 ans Date limite pour postuler : 2026-02-19 Attention: Les candidatures doivent être déposées en ligne sur le site Inria. Le traitement des candidatures adressées par d'autres canaux n'est pas garanti. Consignes pour postuler Sécurité défense : Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement. Politique de recrutement : Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap. Contacts Équipe Inria : HUCEBOT Directeur de thèse : Bellegarda Guillaume / L'essentiel pour réussir Excellent communication in English, French is a plus. Ideal profile: Master Degree studies in Robotics, Control, Engineering, Bio-engineering, or relevant fields. IMPORTANT We will only consider applications with the following attachments (add them in the PDF when completing the application): 1) Transcripts of your University classes (Bachelor, Master, Engineering School...) 2) Your CV should mention all the places where you studied, starting from High School, so please list High School, University, Bachelor/Master, College, Engineering School, Classe Preparatoires, etc. Please mention city and country. A propos d'Inria Inria est l’institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l’interface d’autres disciplines. L’institut fait appel à de nombreux talents dans plus d’une quarantaine de métiers différents. 900 personnels d’appui à la recherche et à l’innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'efforce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.

Københavns Universitet

The Department of Nordic Studies and Linguistics, Faculty of Humanities, University of Copenhagen (UCPH), Denmark, invites applications for a two-year postdoctoral fellowship in natural language processing to be filled by 1 August 2026 or as soon as possible thereafter. The Department of Nordic Studies and Linguistics is home to 1600 students and 160 members of staff. It provides the setting for international research and education from BA to PhD studies within language, language technology, Natural Language Processing, literature, media, culture, and gender studies. The successful candidate will be attached to the Centre for Language Technology (CST), which is one of the research centres of the department. CST conducts research in different areas of interest for language technology, such as Natural Language Processing, construction of NLP resources, Computational Cognitive Modeling and Multimodality, NLP infrastructure and policy, Representation Learning for NLP and Digital Humanities, among others. It has a strong international profile, at the same time as pursuing the development of language technology methods and resources for the Danish language. The Centre has considerable experience managing international research projects, frequently attracts visiting researchers, and has organised major conferences in the field. In collaboration with the Department of Computer Science at the University of Copenhagen, it offers an international MSc programme in IT and Cognition. The programme, which currently admits about 30 students a year, comprises a range of courses in Natural Language Processing and Cognitive Science. In addition, we teach at several BA programs and electives, such as the BA ‘Kognitions- and Datavidenskab’ hosted at the Department of Psychology and an elective package on Language-Centric AI for students in the Humanities. Job content The successful candidate will contribute to the project METALLM (Exploring Metaphors in LLMS), granted by the Independent Research Fund Denmark 2026-2029; see https://cst.ku.dk/english/projects/metallm. The candidate will contribute to the project’s work package 1: Exploring Metaphor Encodings in LLMs. The main goal of this package is to explore the internal dynamics of LLMs when processing metaphors and to investigate their relationship to human cognition and culture. Specifically, we aim to explain how an LLM implicitly maps the literal form of a metaphor to its linguistic and cultural meaning, and how this mapping can be informed by language- and culture-specific knowledge graphs that encode relationships between metaphorical expressions and their intended meanings. We expect the candidates to have a relevant research profile in computational linguistics and natural language processing (or other related areas) with a strong publication record in Computational Linguistics conferences (ACL, EMNLP, COLING, LREC, and so on). Teaching qualifications are not a requirement, even if the candidate will contribute with limited teaching. More details on our educational programmes are provided at https://www.ku.dk/studies/bachelor/cognitive-data-science, and https://www.ku.dk/studies/masters/it-and-cognition. Qualification requirements Applicants will primarily be assessed on their research qualifications, including publications, the ability to conduct independent research and participate in research collaborations, and experience in research management. In addition, the applicant’s research plan and research potential will be assessed in relation to the project described above. Teaching qualifications are not a requirement, but since the candidate will be expected to teach to a limited extent, documented teaching experience can be included in the overall assessment. Application Applications must be submitted online in PDF or Word format. Click on the “Apply now” button at the bottom of this advertisement to apply. Applications should be written in English and must include the following attachments: Letter of motivation CV Documentation of qualifications (exam certificates and PhD diploma) Complete publication list (attached publications must be marked with an asterisk). The list must be structured systematically and divided into the following categories: Peer-reviewed publications: Monographs and anthologies Articles in journals Book chapters/anthology contributions, etc. Non-peer-reviewed publications: Publications disseminating research findings, etc. Applicants can attach a maximum of 3 publications. The publication dates must be clearly marked on the list. The selected publications must be uploaded as attachments and numbered 1-3. Research plan. Documentation of teaching competencies/teaching portfolio (see the UCPH guidelines for teaching portfolios here) and other work on the dissemination of research. Only documentation in English will be assessed. Applicants are invited to familiarize themselvees with the faculty's strategy landmarks here: Strategic landmarks – University of Copenhagen (ku.dk) Salary and terms of employment Terms of appointment and salary will be in accordance with an agreement between the Ministry of Finance and the Danish Confederation of Professional Associations (AC). The salary range starts at DKK 39,200 (EUR 5,200) + a 18,07 % contribution to the pension scheme. It is possible to negotiate salary supplements on an annual basis. The recruitment process Once the deadline for applications has expired, the Head of Department will consider advice from the appointment committee and select applicants for assessment. All applicants will be notified whether they have been shortlisted. The Head of Department will then set up an expert assessment committee to consider the applications. The selected applicants will be informed who is serving on the committee. They will be offered the opportunity to comment on the committee’s assessment of their application before the appointment is announced. Further information on the recruitment process at University of Copenhagen can be found here: Recruitment process – University of Copenhagen (ku.dk) An Equal Opportunity Workplace The University of Copenhagen is committed in its pursuit of academic excellence to equality of opportunity and to creating an inclusive working environment and therefore encourages all qualified candidates to apply, regardless of personal background, gender, sexual orientation, age, disability, ethnicity etc. For more on the diverse working place environment at the University and the University’s participation in the HRS4R HR Excellence in Research, see HR Excellence in Research – University of Copenhagen (ku.dk) International applicant? The University of Copenhagen offers a wide variety of services for international researchers and accompanying families, including support before and during your relocation and career counselling to expat partners. Please find more information about these services as well as information on entering and working in Denmark, here: For international researchers at the University of Copenhagen – University of Copenhagen (ku.dk) Contact information Information about the recruitment process is available from HR Soendre, email: , please refer to ID number: 211-2468/26-2I Additional information about the position can be obtained from Ass. Professor Ali Basirat, email: or Professor Bolette Sandford Pedersen, email: . The deadline for applications is 23:59 [CET] on 15 March 2026. Any applications or additional material submitted after the deadline will not be considered. Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre. Info Ansøgningsfrist: 15-03-2026 Ansættelsesdato: 01-08-2026 Afdeling/Sted: Department of Nordic Studies and Linguistics Indhold ikke tilgængeligt på grund af cookie-valg Du kan ikke se indholdet i dette felt på grund af dine cookie-valg. Klik her for at redigere dine cookie-indstillinger. Kategori: Markedsføring

Aarhus University

Tenure-Track Assistant/Associate Professor in Bioinformatics and Computational Biology Position Overview The Section for Bioinformatics and Computational Biology (BiRC), Department of Molecular Biology and Genetics (MBG) at Aarhus University, Denmark, seeks a highly motivated researcher for a tenure-track position beginning September 1, 2026. About the Role We welcome candidates from all areas of bioinformatics and computational biology with a strong focus on developing computational and statistical methods, particularly in machine learning and artificial intelligence. The successful candidate will complement and expand our research portfolio while contributing to our teaching mission. For assistant professor candidates, we offer comprehensive local mentoring during the tenure track period and negotiable start-up funding to establish a competitive research program. Senior candidates may be considered for associate professor positions. Key Responsibilities Establish and lead an independent research team Develop and deliver a competitive, innovative research program at the highest international level Collaborate with departmental researchers and support translational research initiatives Teach and develop courses for Master's and PhD students in computational and statistical subjects including programming, algorithms, machine learning, and artificial intelligence Supervise Master's and PhD student projects Secure external funding from national and international bodies Participate in departmental administration and strategic development Mentor junior researchers in funding applications and career development Disseminate research and engage with industry and public sector stakeholders Requirements PhD degree in relevant field Demonstrated excellence in bioinformatics/computational biology research Strong background in computational and statistical method development Experience or potential in machine learning and artificial intelligence applications About BiRC and MBG BiRC is an interdisciplinary research center employing approximately 40 researchers and PhD students within the Department of Molecular Biology and Genetics. We span major bioinformatics research areas and oversee the Master's program in Bioinformatics. Our vibrant, collaborative, international environment conducts internal communications and teaching primarily in English. What We Offer Well-developed computational research infrastructure Exciting interdisciplinary environment with extensive national, international, and industrial collaborations Professional workplace emphasizing equality and healthy work-life balance Comprehensive support for international applicants including relocation assistance and career counseling for partners Faculty development programs focused on competency building and career advancement Application Requirements Applications must be submitted in English and include: Curriculum vitae Degree certificate Complete publications list Current research activities summary and future research plans Teaching portfolio with verified teaching experience documentation Description of committee and administrative participation Three professional references with contact information Application Process Applications undergo initial shortlisting by the department head with assessment committee assistance. Selected candidates receive expert committee evaluation within 6 weeks. Reference letters should be arranged prior to submission to ensure timely receipt. Workplace Aarhus University, Bioinformatics Research Centre, Department of Molecular Biology, Universitetsbyen 81, DK-8000 Aarhus C, Denmark Application Deadline: April 7, 2026 Aarhus University promotes equality and diversity as organizational assets and particularly encourages applications from women. All candidates are evaluated solely on qualifications, with research productivity assessed relative to actual research time, accounting for career breaks.

Aalto University

About Aalto University Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our vibrant community comprises 120 nationalities, 14,000 students, 400 professors, and close to 5,000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is integral to who we are, and we actively work to ensure our community's diversity and inclusiveness. We warmly encourage qualified candidates from all backgrounds to join our innovative academic community.

Aarhus University

Postdoctoral Researcher Position in Graph Machine Learning and Energy Network Optimization The Department of Computer Science at Aarhus University invites applications for a full-time 2-year Postdoctoral position, starting April 1, 2026, or as soon as possible thereafter. About the Project This position is part of the Villum Foundation-funded project "Reuse of Waste Heat: Graph-based Algorithms for Spatio-Temporal Optimization of Thermal Networks," which investigates next-generation computational methods to support district heating network planning and operation. Position and Research Focus We are offering a Postdoctoral position in graph machine learning, algorithms, and graph management with particular focus on: • Modeling real-world spatio-temporal energy networks • Developing graph algorithms for optimization under physical constraints • Applying graph mining and graph data management techniques • Designing computational methods for waste heat reuse and green transition goals • Collaborating across domains, including civil/architectural engineering and energy management This position is deeply interdisciplinary and will be carried out in close collaboration with Massimo Fiorentini's group at the Department of Civil and Architectural Engineering and Kredsløb, the company managing district heating in Aarhus. The successful candidate will contribute to advancing fundamental algorithms as well as real-world applied solutions. Additionally, the Postdoc is expected to develop their own research profile and participate in the broader activities of the Department and faculty. Qualifications and Specific Competencies The ideal candidate has: • A PhD in Computer Science, Informatics, Computer Engineering, or related discipline • Strong background in one or more areas: graph algorithms, data mining, databases, machine learning, optimization, or spatio-temporal modeling • Documented experience handling research challenges and empirical evaluations • Solid programming skills in at least one relevant language (e.g., Python, C++) • Interest in interdisciplinary work involving engineering, sustainability, and real-world infrastructure • Strong written and verbal English communication skills Candidates with backgrounds in Physics, Mathematics, or Statistics are also encouraged to apply if they have strong competencies relevant to machine learning, graph analysis, or applied computational methods. We especially encourage women and candidates from underrepresented groups to apply. Aarhus University is committed to fostering a diverse and inclusive research environment. Location Department of Computer Science, Aarhus University Åbogade 34, 8200 Aarhus N, Denmark Application Requirements The application must be in English and include: • Curriculum vitae • Degree certificate • Complete list of publications • Statement of future research plans and information about research activities • Teaching portfolio and verified information on previous teaching experience (if any) Application Process This position uses shortlisting procedures. After the application deadline, the head of department, with assistance from the assessment committee chairman and appointment committee if necessary, will select candidates for evaluation. All applicants will be notified whether their applications proceed to expert assessment. Formalities and Salary Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations. Salary depends on seniority as agreed between these parties. About Aarhus University Aarhus University's ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets and welcome all applicants. Research activities will be evaluated in relation to actual research time. We encourage applicants to specify periods of leave without research activities to allow for accurate evaluation of scientific productivity. Aarhus University offers comprehensive services for international researchers and accompanying families, including relocation service and career counseling. We also provide a Junior Researcher Development Programme targeted at career development for postdocs. At the Faculty of Natural Science, we strive to support our scientific staff in career development, focusing on competency development and career clarification to make opportunities transparent. Application Deadline: December 19, 2025 at 23:59 CEST Applications must be submitted via Aarhus University's recruitment system, accessible through the job advertisement on the university's website.

Aarhus University

Postdoctoral Positions in Image Recognition and Computer Vision for Ecological Monitoring Department of Ecoscience, Aarhus University The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to advance our research in image recognition, computer vision, and deep learning applied to ecological monitoring. The successful candidates will develop analysis pipelines and implement next-generation sensors for automated insect monitoring across Europe as part of ongoing EU Horizon Europe projects. Position Details Duration: 2-year postdoctoral positions Start Date: June 1, 2026, or as soon as possible thereafter Research Focus Insect declines represent an urgent ecological and societal challenge requiring innovative approaches to biodiversity data collection and interpretation. We are expanding our research group working on image-based methods for large-scale biodiversity monitoring, seeking candidates eager to push the boundaries of automated ecological data collection. These positions focus on improving detection and classification performance of deep learning models applied to millions of images collected in European monitoring programs. Key Responsibilities Quantify insect abundance, diversity, and biomass from image data Validate and benchmark model outputs Develop efficient pipelines for localizing insects on simple backgrounds and complex natural scenes Improve taxonomic classification using hierarchical classification schemes and anomaly-detection methods Test and validate next-generation insect camera traps with on-device computing for real-time detection and classification Collaborate in interdisciplinary teams spanning ecology, computer science, engineering, and biodiversity monitoring Communicate results and work closely with international partners and stakeholders These positions will contribute to developing scalable image-based monitoring tools capable of addressing fundamental questions in biodiversity and conservation. Required Qualifications PhD in computer science, biology, software engineering, or related field Strong proficiency in Python with experience in modern deep learning frameworks Solid understanding of applied statistics Experience working with large-scale image datasets Excellent English communication skills Desirable Qualifications Experience with ecological datasets or biodiversity applications Experience with hardware integration, embedded systems, or edge computing Track record of publishing technical or interdisciplinary work in relevant scientific journals Motivation to work in international and interdisciplinary research environments About the Department The Department of Ecoscience conducts world-class research in aquatic and terrestrial biology and ecology, arctic environment and ecosystems, and biodiversity and conservation biology. We employ approximately 275 academic and technical staff plus many PhD students, offering a vibrant and informal research environment with longstanding traditions for collaboration with elite international university partners. What We Offer Join a dynamic research environment emphasizing teamwork and close working relationships. The department maintains a strong work-life balance policy and actively promotes gender and age diversity. English is widely spoken, and we welcome international applicants. We offer comprehensive services for international researchers and accompanying families, including relocation services and career counseling for partners. Location C. F. Møllers Allé 8, DK-8000 Aarhus C, Denmark Application Deadline March 3, 2026 Application Requirements Applications must be in English and include: Curriculum vitae Degree certificates Complete list of publications Statement of future research plans Information about research activities Teaching portfolio and verified teaching experience (if applicable) Applications must be submitted via Aarhus University's online recruitment system. A shortlisting process will be used, and all applicants will be notified whether their applications proceed to expert assessment committee evaluation. Aarhus University is committed to fostering an attractive and inspiring workplace for all, valuing equality and diversity as assets. We encourage applicants to specify any periods of research leave to ensure fair evaluation of scientific productivity.