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List of supervisors
Winter 2025
In FCAI, we have over 70 professors who contribute to our joint research and can take part in the supervision. In the winter call 2025, we are primarily recruiting new researchers to the FCAI Teams, and the recruitments will be made to the groups of the professors who are participating in the FCAI Teams work. Please see FCAI Teams’ website to see which supervisors currently take part in each team.
Additionally, several professors are also looking for postdocs and PhD students to join their individual research projects; you can express your interest to also apply to the positions of individual research groups in your application.
You can find more information about each professors and their possible research openings following the links below:
Luigi Acerbi, University of Helsinki – Probabilistic machine learning, Bayesian optimization & experimental design, Amortized inference, Simulation-based inference
Dominik Baumann, Aalto University – Control Theory, Robotics, Machine Learning, Multi-Agent Systems
Ayush Bharti, Aalto University – Simulation-based inference, Approximate Bayesian computation, Bayesian statistics
Jukka Corander, University of Helsinki, University of Oslo and Sanger Institute
Shankar Deka, Aalto University – Control theory, Robotics, Machine Learning
Adam Foster, Aalto University – Theoretical Solid State Physics, Surfaces, Interfaces, SPM
Andrea Ganna, University of Helsinki – Health Data Science, Human Genetics
Vikas Garg, Aalto University – Generative Models, Geometric and Topological Deep Learning, Drug Discovery, Climate Prediction
Christian Guckelsberger, Aalto University – Computational Creativity, Computational Intrinsic Motivation, Human-Computer Interaction (HCI), Cognitive Science, Videogame AI/HC
Markus Heinonen, Aalto University – Deep learning, Bayesian nonparametrics, Gaussian processes, Dynamical systems
Antti Honkela, University of Helsinki – Machine Learning, Differential Privacy, Bayesian Inference, Bioinformatics
Perttu Hämäläinen, Aalto University – Game Design, Human-Computer Interaction, Physically Based Animation & Control, Machine Learning, VR and AR
Juho Kannala, Aalto University – Computer Vision, Machine Learning
Samuel Kaski, Aalto University – Probabilistic Machine Learning, Human-AI Interaction, Simulation-Based Inference, Computational Medicine See also other open positions in prof. Kaski’s research group
Arto Klami, University of Helsinki – Machine Learning, Bayesian Statistics, Artificial Intelligence See also other open positions in prof. Klami’s research group
Tomasz Kucner, Aalto University – Mapping, Dynamic Mapping, Chronorobotics, Localisation
Mikko Kurimo, Aalto University – Speech Recognition, Machine Learning, Language Modeling
Ville Kyrki, Aalto University – Robotics, Machine Learning, Computer Vision
Jorma Laaksonen, Aalto University – Pattern Recognition, Machine Learning, Neural Networks, Computer Vision, Media Analysis
Jaakko Lehtinen, Aalto University, NVIDIA – Computer Graphics, Computer Vision, Machine Learning
Harri Lähdesmäki, Aalto University – Machine Learning, Deep Generative Models, Computational Biology, Health
Heikki Mannila, Aalto University – Computer Science, Algorithms, Machine Learning, Data Analysis
Pekka Marttinen, Aalto University – Machine Learning, Large Language Models, Reinforcement Learning, Health
Jukka K. Nurminen, University of Helsinki – Practice of AI, Quantum Software, Mobile Systems, Energy-Efficiency
Antti Oulasvirta, Aalto University – Human models, Human-computer Interaction
Joni Pajarinen, Aalto University – Reinforcement Learning, Robotics, Machine Learning
Matti Pirinen, University of Helsinki – Statistical genetics, Statistics
Kai Puolamäki, University of Helsinki – Data Mining, Machine Learning, Artificial Intelligence, Atmospheric Sciences
Teemu Roos, University of Helsinki – Machine Learning
Laura Ruotsalainen, University of Helsinki – Navigation, Computer Vision
Arno Solin, Aalto University – Machine Learning, Gaussian Processes, Sensor Fusion, Generative Modelling
Simo Särkkä, Aalto University – Multi-Sensor Data Fusion, Bayesian Filtering and Smoothing, Machine Learning, Medical Technology, AI for Health
Jörg Tiedemann, University of Helsinki – Computational Linguistics, Machine Translation, Machine Learning, Natural Language Processing, Information Retrieval
Aki Vehtari, Aalto University – Bayesian Analysis, Bayesian Statistics, Bayesian Workflow, Gaussian Processes
Petri Ylikoski, University of Helsinki – Science and Technology Studies, Social Theory, Sociological Theory, Analytical Sociology, Philosophy of Science, Philosophy of Biology, Philosophy of the Social Science, Theory of Explanation, Theory of Evidence
Indrė Žliobaitė, University of Helsinki – Data science, Concept drift, Macroecology, Paleobiology