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-
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
LISER
Summer Student Job Applications 2026 Are you looking for a student job during the school holidays? Are you curious to explore the fascinating and exciting world of research? The Luxembourg Institute of Socio-Economic Research (LISER) might have the right mission for you. Location: Esch-sur-Alzette, Luxembourg Your Profile You are enrolled on a full-time basis in a national or foreign educational program, OR have graduated less than 4 months ago You are between 15 and 26 years old You are fluent in French and have good command of English. Any other language is considered an asset Why LISER? Work in an international, dynamic and stimulating scientific environment Benefit from diverse exchanges with other students and scientists in and across our research departments and programmes Develop a set of skills and experiences that will enable you to fulfil your potential and future career How to Apply Please apply online by including the following documents: CV Motivation letter specifying your interests and availability during the summer holidays Valid school certificate Copy of your identity card Early application is encouraged as applications are processed upon reception. About LISER LISER is an Equal Opportunity Employer. All interested candidates irrespective of gender, race, disability, religion or ethnic background are encouraged to apply.
Oulun yliopisto
Doctoral Researcher - Emergent Communications Protocols in beyond 5G/6G About the University of Oulu The University of Oulu is a multidisciplinary, international research university with about 4,000 employees who produce new knowledge based on high-standards research and provide research-based education to build a more sustainable, smarter, and more humane world. Our community totals about 17,000 people, operating globally to create conditions for innovation emergence. About the Role We are seeking a Doctoral Researcher to join the Centre for Wireless Communications (CWC) at the Faculty of Information Technology and Electrical Engineering. The Intelligent Connectivity and Networks Group (ICON), part of CWC, focuses on theoretical and algorithmic foundations of next-generation wireless systems through interdisciplinary research combining machine learning, optimization, control, and economics. This position is part of the GENOME project, funded by the Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks, focusing on developing AI-native solutions for autonomous network management across O-RAN, edge, and cloud domains. Research Focus This doctoral research centers on learning resource-efficient communication protocols for distributed, task-oriented agents in beyond 5G/6G systems. Key research themes include: Emergent semantic communication Learning-based protocol design Multi-agent systems AI-native network architectures Key Responsibilities Develop novel cooperative multi-agent communication frameworks integrating insights from multi-agent communication, multi-objective optimization, and state abstraction Design and investigate new signaling mechanisms and scalable learning strategies, exploring optimization approaches, generative AI, and multimodal sensing Validate developed methods in representative beyond 5G/6G use cases Complete doctoral study requirements Collaborate with multi-disciplinary teams and interdisciplinary partners What We Offer Support from an experienced and enthusiastic team Wellness benefit ePassi covering sport, culture, and well-being Development and career opportunities within a large organization Meaningful work with workplace flexibility and work-life balance Buddy Program and Spouse Network for settling into Oulu HR Excellence in Research quality label from the European Commission Location in Finland, one of the world's most livable countries Required Qualifications Master's degree in Electrical Engineering, Communications Engineering, Computer Science, Machine Learning, or closely related field (to be completed before employment start) Strong understanding of mathematical foundations: probability, statistics, and linear algebra Strong research motivation and open-minded attitude towards interdisciplinary topics Ability and motivation to pursue doctoral studies Excellent written and spoken English communication skills Preferred Qualifications Prior research experience through publications, thesis work, or relevant projects Strong programming skills (e.g., Python) and experience with relevant frameworks (e.g., PyTorch, TensorFlow) Ability to work in interdisciplinary and collaborative research environments Eligibility Requirements MSCA Doctoral Network regulations: Mobility Rule: Candidates must not have resided or carried out main activity in Finland for more than 12 months in the 36 months immediately before recruitment Must not already possess a doctoral degree at recruitment date Must apply for doctoral study rights at University of Oulu Graduate School Position Details Duration: Fixed-term, 3 years Start Date: May-June or upon agreement Salary: Approximately €4,251 gross monthly for full-time employment (including mobility allowance), with potential family allowance Trial Period: 6 months Application Process Applications must be submitted exclusively through the official GENOME project website by April 24, 2026. Applications via other platforms will not be considered. Required Application Materials (in English): Motivation letter CV Transcripts Referee contacts We welcome applicants from all backgrounds, including people of different ages, genders, languages, cultures, and minority communities.