Postdoctoral Research Fellow - Statistical Signal Processing

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.

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.

• 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

• 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

• 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

• 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

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.

• 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

• 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

• 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

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