Aalto University

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 School of Chemical Engineering is seeking a highly motivated Postdoctoral Researcher to join the Bioprocess Engineering group and lead groundbreaking research in cell-free biomanufacturing of anaerobic enzymes. This position offers an exceptional opportunity to contribute to cutting-edge biotechnology research while developing innovative solutions for sustainable biomanufacturing. As part of our dynamic academic community, you will work at the intersection of synthetic biology, bioengineering, and enzyme technology, contributing to research that addresses major global challenges in sustainable biotechnology. The position is based at our state-of-the-art Otaniemi Campus in Espoo, Finland, within a world-renowned research environment. Key Responsibilities Research Leadership and Innovation: Lead an independent research project focused on developing advanced cell-free protein synthesis platforms specifically designed for anaerobic enzymes Design and execute comprehensive research strategies to overcome challenges associated with oxygen-sensitive enzyme systems Pioneer novel methodologies for expressing and characterizing oxygen-labile multi-subunit enzyme complexes Drive innovation in bioprocess engineering through interdisciplinary research approaches Bioinformatics and Computational Research: Integrate sophisticated bioinformatic workflows to identify and characterize relevant anaerobic enzyme systems Develop computational tools and databases for enzyme discovery and optimization Analyze large-scale genomic and proteomic datasets to identify promising enzyme candidates Create predictive models for enzyme stability and functionality under anaerobic conditions Experimental Design and Execution: Perform quantitative evaluation of enzyme function using advanced analytical techniques Develop and optimize high-throughput screening platforms for enzyme characterization Design experiments to assess enzyme kinetics, stability, and performance under various conditions Implement quality control measures and standardized protocols for reproducible research Academic and Educational Contributions: Contribute to teaching activities within the Bioprocess Engineering group Mentor undergraduate and graduate students in research methodologies and experimental techniques Participate in curriculum development and course planning initiatives Present research findings at international conferences and scientific meetings Collaboration and Knowledge Transfer: Collaborate with interdisciplinary teams across multiple research centers and institutions Engage with industry partners to translate research findings into practical applications Contribute to grant proposal writing and funding acquisition efforts Participate in peer review activities for scientific journals and funding agencies Requirements Essential Qualifications: Recently obtained PhD (within five years) in bioengineering, synthetic biology, biochemistry, chemical engineering, or closely related discipline Strong publication record demonstrating high-quality research output and scientific impact Demonstrated ability to work independently on competitive research projects Proven track record of successful project management and research execution Critical Technical Expertise: Hands-on experience in high-throughput enzyme prototyping platforms with clear relevance to cell-free systems Demonstrated expertise with oxygen-sensitive or anaerobic enzyme systems Experience in engineering and activity characterization of oxygen-sensitive enzymes Proficiency in molecular biology techniques, protein expression, and purification methods Knowledge of bioinformatics tools and computational biology approaches Professional Skills: Excellent written and verbal communication skills in English Strong analytical and problem-solving capabilities Collaborative mindset with ability to work effectively in interdisciplinary teams Proactive approach to research challenges and innovation Demonstrated or emerging ability to secure research funding Experience with scientific writing and manuscript preparation Preferred Additional Qualifications: Experience with cell-free protein synthesis systems Knowledge of anaerobic microbiology and enzyme biochemistry Familiarity with bioprocess optimization and scale-up methodologies Background in metabolic engineering or synthetic biology applications Experience with advanced analytical techniques for enzyme characterization What We Offer Professional Development: Two-year fixed-term contract with potential for extension based on performance and funding Opportunity to lead independent research in a cutting-edge field Access to state-of-the-art research facilities and equipment Collaboration opportunities with leading international research institutions Support for conference attendance and professional networking Mentorship opportunities and career development guidance Compensation and Benefits: Competitive salary package commensurate with experience and qualifications Comprehensive occupational health care coverage Access to Finland's extensive social security system Commuter ticket benefits for convenient transportation Versatile exercise services and wellness programs through UniSport with staff disc

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-