Autumn call is now closed – thank you to all who applied!
See review schedule
Call for Doctoral Students in Artificial Intelligence
The Finnish Doctoral Program Network in Artificial Intelligence (AI-DOC) is looking for new PhD students to work in fundamental AI and machine learning research and in five application areas. Come do a PhD tackling challenging research questions in a network that fosters industry and multidisciplinary collaboration!
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About the program
The Finnish Doctoral Program Network in Artificial Intelligence (AI-DOC) launched in 2024 to build a world-class PhD program with quality supervision, mobility, and multi-disciplinarity as integral parts. The program is a joint effort of ten Finnish universities and will educate 100 new PhDs in artificial intelligence research. Finland’s Ministry of Education and Culture has granted 25.5 million EUR to support the program.
The first AI-DOC call in spring 2024 was extremely successful with the first cohort of 76 students selected from that call. In the autumn call, we looking for PhD students for the remaining 24 positions to join AI-DOC program. In addition, many of the supervisors taking part in the call are also looking to recruit PhD student with their own funding from this call.
The PhD students joining the program will benefit from:
Ability to do fully-funded, curiosity-driven research with high-quality supervision from experienced researchers
Multidisciplinary environment with experts both in fundamental machine learning research as well as several application areas
Support for international mobility periods and links to top international partners, through e.g., ELLIS AI network of excellence
Possibility to attend summer schools, research seminars, workshops and networking events
Access to high-end infrastructure, career training and support services
Research areas
We are looking for prospective PhD students to work in the following research areas.
Fundamental AI
Fundamental AI methods are the core of the FCAI research activities and the cornerstone in all application areas. Fundamental AI encompasses probabilistic AI for verifiable and uncertainty-aware model building, simulation-based inference for efficient and interpretable reasoning capabilities, data-efficient deep learning, privacy-preserving and secure AI, interactive AI for collaborative AI tools, autonomous AI, statistics, and decision-making. Widely applicable goals of the fundamental AI are AI-assisted decision-making, design and modeling.
Keywords: Artificial Intelligence, Causal Inference, Collaborative AI and human modeling, Machine Learning, Statistics
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Some of the supervisors have already recruited a PhD student for the AI-DOC program from the spring call and hence cannot recruit another AI-DOC PhD student from the autumn call (marked with the notion “(PhD student from the spring call)”). You can still express your interest in working with them, as many are still looking for PhD students outside the AI-DOC program and can make offers with their own funding from this autumn call.
Luigi Acerbi, University of Helsinki – Machine Learning, Bayesian Optimization, Computational Neuroscience, Probabilistic Inference, Decision-Making (PhD student from the spring call)
Antti Airola, University of Turku – Machine Learning, Data Analytics, Health Technology (PhD student from the spring call)
Dominik Baumann, Aalto University – Control Theory, Robotics, Machine Learning, Multi-Agent Systems (PhD student from the spring call)
Corinna Coupette, Aalto University – Graphs, Networks, Legal Data Science, Responsible AI, Data-Centric AI
Stéphane Deny, Aalto University – AI & Neuroscience (PhD student from the spring call)
Mohammed Elmusrati, University of Vaasa – Wireless Communication, Machine Learning, Game Theory, Uncertainty Analysis, AI and ML in Bioinformatics
Frank Emmert-Streib, Tampere University – Data Science, Artificial Intelligence, Network Science, Computational Biology, Natural Language Processing
Pasi Fränti, University of Eastern Finland – Clustering, Location-Based Services, Image Compression, Machine Learning, Data Mining
Moncef Gabbouj, Tampere University – Machine Learning, Artificial Intelligence, Signal Processing, Image Processing, Video Communication
Vikas Garg, Aalto University – Machine Learning (PhD student from the spring call)
Dorota Glowacka, University of Helsinki – Interactive Information Retrieval, Machine Learning, Exploratory Search, User Modelling
Christian Guckelsberger, Aalto University – Computational Creativity, Artificial Intelligence, Human-Computer Interaction, Videogame AI (PhD student from the spring call)
Ville Hautamäki, University of Eastern Finland – Speaker Recognition, Language Recognition, Machine Learning, Computational Biology (PhD student from the spring call)
Janne Heikkilä, University of Oulu – Computer Vision, Machine Vision, Pattern Recognition (PhD student from the spring call)
Jukka Heikkonen, University of Turku – Machine Learning, Data Analysis, Autonomous Systems, Machine Vision, GIS Applications
Keijo Heljanko, University of Helsinki – Parallel and Distributed Systems, Big Data, Data Science, Model Checking
Antti Honkela, University of Helsinki – Machine Learning, Differential Privacy, Bayesian Inference, Bioinformatics
Pan Hui, University of Helsinki – Ubiquitous Computing, Mobile Computing, Augmented Reality, Data Science (PhD student from the spring call)
Aapo Hyvärinen, University of Helsinki – Machine Learning, Computational Neuroscience
Perttu Hämäläinen, Aalto University – Game Design, Human-Computer Interaction, Physically Based Animation & Control, Machine Learning, VR and AR (PhD student from the spring call)
Giulio Jacucci, University of Helsinki – Human-Computer Interaction (PhD student from the spring call)
Tomi Janhunen, Tampere University – Artificial Intelligence, Knowledge Representation, Answer Set Programming, Boolean Optimization
Alexander Jung, Aalto University – Machine Learning, Artificial Intelligence, Convex Optimization, Reinforcement Learning
Matti Järvisalo, University of Helsinki – Automated Reasoning, Optimization, Knowledge Representation, Graphical Models (PhD student from the spring call)
Juho Kannala, Aalto University – Computer Vision, Machine Learning
Juha Karvanen, University of Jyväskylä – Causality, Missing Data, Study Design (PhD student from the spring call)
Samuel Kaski, Aalto University – Probabilistic Machine Learning, Human-AI Interaction, Simulation-Based Inference, Computational Medicine (PhD student from the spring call)
Tomi Kinnunen, University of Eastern Finland – Speech, Speaker Recognition, Voice Conversion, Biometrics, Anti-Spoofing (PhD student from the spring call)
Arto Klami, University of Helsinki – Machine Learning, Bayesian Statistics, Artificial Intelligence (PhD student from the spring call)
Timo Knuutila, University of Turku – Machine Learning, Combinatorial Optimization, Formal Languages and Automata
Mikko Koivisto, University of Helsinki – Algorithms, Artificial Intelligence, Computational Statistics, Machine Learning
Juha Kontinen, University of Helsinki – Mathematical Logic, Logic in Computer Science, Finite Model Theory
Tomasz Kucner, Aalto University – Mapping, Dynamic Mapping, Chronorobotics, Localisation
Janne Kujala, University of Turku – Statistics
Ville Kyrki, Aalto University – Robotics, Machine Learning, Computer Vision
Jorma Laaksonen, Aalto University – Pattern Recognition, Machine Learning, Neural Networks, Computer Vision, Media Analysis
Leo Lahti, University of Turku – Data Science and Complex Systems (PhD student from the spring call)
Jaakko Lehtinen, Aalto University – Computer Graphics, Computer Vision, Machine Learning
Lasse Leskelä, Aalto University – High-Dimensional Statistics, Clustering, Network Science
Harri Lähdesmäki, Aalto University – Computational Biology, Machine Learning, Deep Generative Models, Bioinformatics, Artificial Intelligence, Probabilistic Modeling (PhD student from the spring call)
Pekka Marttinen, Aalto University – Statistical Machine Learning, Computational Biology
Michael Mathioudakis, University of Helsinki – Algorithms for Big Data, ML Model Management (PhD student from the spring call)
Kaisa Miettinen, University of Jyväskylä – Multiobjective Optimization and Decision Support
Pauli Miettinen, University of Eastern Finland – Computer Science, Data Mining (PhD student from the spring call)
Tommi Mikkonen, University of Jyväskylä – Software Engineering, Software Architecture, Web Programming
Marko Mäkelä, University of Turku – Optimization, Convex and Nonconvex Analysis, Nonsmooth Optimization, Multiobjective Optimization, Bundle Methods
Klaus Nordhausen, University of Helsinki – Multivariate Statistics, Robust and Nonparametric Methods, Blind Source Separation
Petteri Nurmi, University of Helsinki – Ubiquitous Computing, Mobile Sensing, Distributed Computing, Internet of Things
Jukka K. Nurminen, University of Helsinki – Practice of AI, Quantum Software, Mobile Systems, Energy-Efficiency
Henri Nyberg, University of Turku – Econometrics, Statistics, Time Series Analysis, Empirical Macroeconomics, Empirical Finance
Antti Oulasvirta, Aalto University – Human-Computer Interaction, Computational Modeling of Behavior
Tapio Pahikkala, University of Turku – Machine Learning, Pattern Recognition, Computational Intelligence, Data analysis (PhD student from the spring call)
Joni Pajarinen, Aalto University – Reinforcement Learning, Robotics, Machine Learning
Samuli Pekkola, University of Jyväskylä – Information Systems
Jaakko Peltonen, Tampere University - Statistical Machine Learning, Exploratory Data Analytics, Dimensionality Reduction, Visualization, Natural Language Processing, Information Retrieval, Game Culture Research, Ethical Artificial Intelligence
Ion Petre, University of Turku – Computational Systems Biology, Network Science, Machine Learning, Theory of Computing (PhD student from the spring call)
Simon Puglisi, University of Helsinki – Algorithms, Data Structures, Pattern Matching, Data Compression (PhD student from the spring call)
Kai Puolamäki, University of Helsinki – Data Mining, Machine Learning, Artificial Intelligence, Atmospheric Sciences
Ilkka Pölönen, University of Jyväskylä – Hyperspectral Imaging, Machine Learning, Mathematical Modelling, Applied Mathematics, Computer Science
Esa Rahtu, Tampere University – Computer Vision, Image Understanding, Machine Learning
Jenni Raitoharju, University of Jyväskylä – Machine Learning, Computer Vision, Environmental Monitoring (PhD student from the spring call)
Teemu Roos, University of Helsinki – Machine Learning
Laura Ruotsalainen, University of Helsinki – Navigation, Computer Vision
Ahti Salo, Aalto University – Operations Research, Decision Analysis, Risk Analysis, Foresight, Multiple Criteria Decision Making
Mikko Salo, University of Jyväskylä – Mathematical Analysis, Geometry and Applications
Mikko Sillanpää, University of Oulu – Statistical/Quantitave Genetics, Bayesian Statistics, Variable Selection, MCMC, Network Estimation (PhD student from the spring call)
Arno Solin, Aalto University – Machine Learning, Gaussian Processes, Sensor Fusion, Generative Modelling (PhD student from the spring call)
Xiang Su, University of Helsinki – Mobile Computing, Digital twins, Distributed systems, Smart agriculture
Simo Särkkä, Aalto University – Multi-Sensor Data Fusion, Bayesian Filtering and Smoothing, Machine Learning, Medical Technology, AI for Health
Sara Taskinen, University of Jyväskylä – Statistics (PhD student from the spring call)
Nikolaj Tatti, University of Helsinki – Data Mining, Statistics
Santtu Tikka, University of Jyväskylä – Causal Inference
Hannu Toivonen, University of Helsinki – Computer Science, Data Science, Computational Creativity, Artificial Intelligence
Jarno Vanhatalo, University of Helsinki – Gaussian Process, Bayesian Modeling, Environmental Sciences, Ecology, Spatial Statistics
Aki Vehtari, Aalto University – Bayesian Analysis, Bayesian Statistics, Bayesian Workflow, Gaussian processes
Matti Vihola, University of Jyväskylä – Computational Statistics and Applied Probability
Joni Virta, University of Turku – Dimension Reduction
Jouko Väänänen, University of Helsinki – Mathematical logic
Robin Welsch, Aalto University – Engineering Psychology, AR/VR, Social interaction, Human-Computer Interaction, Human-AI interaction (PhD student from the spring call)
Martha Zaidan, University of Helsinki – Artificial Intelligence, Data Sciences, Condition Health Monitoring, Sensing Technologies (PhD student from the spring call)
Bo Zhao, Aalto University – Machine Learning, Data-Centric AI, Data-Efficient Learning (PhD student from the spring call)
Guoying Zhao, University of Oulu – Affective Computing, Artificial Intelligence, Computer Vision, Pattern Recognition (PhD student from the spring call)
Indre Zliobaite, University of Helsinki – Data Science, Concept Drift, Palaeobiology, Macroecology
AI in Communications and Signal Processing
The area covers a wide range of advanced methods in communications and distributed intelligence technologies, statistical methods in signal processing, and analysis of images, video, speech, audio and array signals.
The methodologies can be applied in various layers of communications systems from applications to the radio connectivity with distributed intelligence that is an integral part of next generation communication and computing systems targeting to solve issues related to ultra densification of infrastructure, devices and people, and to guarantee secure, low latency and reliable use of ICT resources using advanced AI methods.
This research area also includes acquiring, processing, analyzing and understanding digital images, video sequences, views from multiple cameras, multi-dimensional data from a 3D scanner, 3D point clouds from LiDaR sensors, or medical scanning devices, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the forms of decisions, using models constructed with the aid of geometry, physics, statistics, and learning theory.
Keywords: Array signal processing, Computer vision, Edge intelligence, Perception, Sensors, Wireless communications
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Some of the supervisors have already recruited a PhD student for the AI-DOC program from the spring call and hence cannot recruit another AI-DOC PhD student from the autumn call (marked with the notion “(PhD student from the spring call)”). You can still express your interest in working with them, as many are still looking for PhD students outside the AI-DOC program and can make offers with their own funding from this autumn call.
Onel Alcaraz Lopez, Univeristy of Oulu – Wireless communications
Sergey Andreev, Tampere University – Intelligent IoT, Mobile Communications, Heterogeneous Networking
Mehdi Bennis, University of Oulu – Semantic communication, Resilient communication, Edge AI, Embodied AI
Miguel Bordallo Lopez, University of Oulu – AI, Computer Vision, Mobile, Face Analysis, Real-Time Image Processing
Karen Eguiazarian, Tampere University – Image Processing, Image Restoration, Computational Imaging, Sparse Representations
Filip Elvander, Aalto University – Statistical Signal Processing, Spectral Estimation, Optimal Transport, Sparse Modeling (PhD student from the spring call)
Alessandro Foi, Tampere University – Imaging, Signal Processing, Noise, Denoising, Applied Statistics
Atanas Gotchev, Tampere University – Immersive Imaging, 3D Imaging, Light Field Imaging, Quality Assessment, Computational Optics
Erkki Harjula, University of Oulu – Edge Computing, IoT, Medical ICT, AI, ML
Markku Juntti, University of Oulu – Wireless Communications, Signal Processing
Joni Kämäräinen, Tampere University – Computer Vision, Robot Vision, Robot Learning, Robotics
Visa Koivunen, Aalto University – Signal Processing, Wireless Communication, Radar, Statistics, Machine Learning
Antti Laaksonen, University of Helsinki – Programming, Algorithms
Kjell Lemström, University of Helsinki – Music Information Retrieval, Algorithms, Learning Analytics (PhD student from the spring call)
Simona Lohan, Tampere University – Wireless Localization, Tracking and Navigation, Signal Processing for Wireless Communications, Wearable Computing (PhD student from the spring call)
Petri Mähönen, Aalto University – Networked Systems
Mika Mäntylä, University of Helsinki – Software Testing, Software Maintenance, Software Operations, AIOps, Log Analysis
Esa Ollila, Aalto University – High-Dimensional Statistics, Data Science, Statistical Signal Processing (PhD student from the spring call)
Otso Ovaskainen, University of Jyväskylä – Statistical Ecology
Susanna Pirttikangas, University of Oulu – Situation Awareness, Edge Intelligence, Artificial Intelligence, Activity Recognition, Ubiquitous Computing
Archontis Politis, Tampere University – Virtual Acoustics, Acoustical Signal Processing, Spatial Sound, 3D-audio, Acoustic Scene Analysis
Gopika Premsankar, Aalto University – Edge Intelligence, Sustainability, Optimization, AI/ML for Network Management
Nandana Rajatheva, University of Oulu – 6G, AI/ML for PHY & RAN, Sensing & Automation, Channel Coding (PhD student from the spring call)
Sumudu Samarakoon, University of Oulu – Game Theory, Machine Learning, Small Cells, V2X
Stephan Sigg, Aalto University – Remote Healthcare, Human-AI Teaming, Gesture and Activity Recognition, Usable Security, RF Sensing and mmWave Radar Sensing, Ambient Intelligence, Mobile and Ubiquitous Computing (PhD student from the spring call)
Bo Tan, Tampere University – Wireless Communications, Radar, Intelligent Machines, Healthcare
Sasu Tarkoma, University of Helsinki – Internet Technology, Mobile Computing, Data Science, Middleware
Antti Tölli, University of Oulu – Wireless communications, Signal processing, Information theory
Vishnu Unnikrishnan, Tampere University – Microelectronic Circuits and Systems, Energy-Efficient Digital/Mixed-Signal Hardware Accelerators for Integrated AI
Mikko Valkama, Tampere University – Wireless Communications, Radio Systems, Signal Processing
Tuomas Virtanen, Tampere University – Machine Listening, Audio Signal Processing, Audio
Sergiy Vorobyov, Aalto University – Statistical Signal Processing, Convex Optimization, Tensor Decomposition, Radar, Communications
Stefan Werner, Aalto University – Statistical signal processing, Distributed and federated machine learning, Privacy-preserving learning, Wireless communication
Risto Wichman, Aalto University – Wireless communications, Signal processing
Yu Xiao, Aalto University – Augmented/Virtual Reality, Wearable Sensing, Video analytic, Edge/Fog Computing, Smart Manufacturing (PhD student from the spring call)
AI in Health
The health and wellbeing field holds high potential to profit from advances in AI. Applications range from personalized care and precision medicine to preventive care and to process optimization. Increasing availability of large amounts of multi-source data combined with novel AI paradigms give huge opportunities. Challenges are how to extract valid actionable knowledge from all that data, how to develop AI-based solutions that are trustworthy, fit into healthcare processes, and that have an actual impact.
Keywords: Biomedical Image and Signal analysis; Multi-modal Health Data Analysis; Predictive, Preventive, Personalized, Participatory Healthcare, Trustworthy AI, Healthcare Processes
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Some of the supervisors have already recruited a PhD student for the AI-DOC program from the spring call and hence cannot recruit another AI-DOC PhD student from the autumn call (marked with the notion “(PhD student from the spring call)”). You can still express your interest in working with them, as many are still looking for PhD students outside the AI-DOC program and can make offers with their own funding from this autumn call.
Tero Aittokallio, University of Helsinki – Systems Medicine
Neslihan Bayramoglu, University of Oulu – Computer Vision, Machine Learning, Medical AI, Bioimage Analysis, Medical Image Analysis
Oscar Brück, University of Helsinki – Computer Vision, Medical Data Analysis, Data Harmonization, Hematology
Ping Chen, University of Helsinki – Medical System Biology, Methodology, RNA Biology, Immunometabolism
Ben Cowley, University of Helsinki – High Performance Cognition, Cognitive Science, Psychophysiology, Neuroscience Flow
Vittorio Fortino, University of Eastern Finland – Bioinformatics, Omics Data Analytics, Machine Learning and Artificial intelligence
Andrea Ganna, University of Helsinki – Health Data Science, Human Genetics
Dario Greco, Tampere University – NanoSafety, Toxicogenomics, Predictive Toxicology, Computational Toxicology, Bioinformatics
Sampsa Hautaniemi, Universty of Helsinki – Bioinformatics, Cancer Research, Drug Resistance
Jari Hyttinen, Tampere University – Biomedical Engineering, In-Silico Modeling, Biophysics, Bioelectronics, 3D Bioimaging
Guillaume Jacquemet, Åbo Akademi University – Cell Migration, Microscopy, Image Analysis
Mohieddin Jafari, University of Helsinki – Proteomics, Systems Biology, Mass Spectrometry, Bioinformatics, Biological Data Mining
Anne Juppo, University of Helsinki – Industrial Pharmacy
Iiro Jääskeläinen, Aalto University – Cognitive Neuroscience, Neuroimaging, Psychology, Social Neuroscience (PhD student from the spring call)
Matti Kaisti, University of Turku – Health Technology, Sensors, Data Analysis (PhD student from the spring call)
Nina Kaminen-Ahola, University of Helsinki – Environmental Epigenetics, Prenatal Alcohol Exposure, Infertility, ART, IVF
Shreyas Kaptan, University of Helsinki – Molecular Dynamics, Structural biology, Molecular Biophysics
Kimmo Kaski, Aalto University – Computational Science, Statistical Physics, Complex Systems & Networks, Computational Social Science, Data Science & AI
Marja Laasonen, University of Eastern Finland – Logopedics, Neuropsychology
Xin Lai, Tampere University – Systems Biology, Systems Medicine, Non-coding RNA
Marja-Leena Linne, Tampere University – Biomedicine (PhD student from the spring call)
Qing Liu, University of Oulu – Computer Vision, Medical Image Processing (PhD student from the spring call)
Helike Lõhelaid, University of Helsinki – Biochemistry, Molecular Biology, Neuroscience
Inkeri Lokki, University of Helsinki – Molecular Biology, Immunology, Placentology, Genetics
Tuomas Mirtti, University of Helsinki – Biomedicine
Ville Mustonen, University of Helsinki – Bioinformatics, Computational Biology, Evolution
Matti Nykter, Tampere University – Computational Biology, Cancer Genomics, Bioinformatics (PhD student from the spring call)
Lassi Paavolainen, University of Helsinki – Image-Based Profiling, Deep Learning, Bioimage Informatics, High-Content Analysis
Satu Palva, University of Helsinki – MEG, EEG, Systems Neuroscience, Cognitive Neuroscience
Lauri Parkkonen, Aalto University – Neuroscience, Neuroimaging, Neurotechnology, Physics, Computer Science (PhD student from the spring call)
Markku Partinen, University of Helsinki – Sleep Research, Traffic Medicine, Narcolepsy, Sleep Apnea, Insomnia
Matti Pirinen, University of Helsinki – Statistical Genetics, Statistics
Esa Pitkänen, University of Helsinki – Machine Learning, Cancer Genetics, Computational Biology
Antti Rannikko, University of Helsinki – Prostate Cancer
Tomi Rantamäki, University of Helsinki – Rapid-Acting Antidepressants, Psychiatry, Synaptic Plasticity, Translational Neuroscience, Pharmacology
Hanna Renvall, Aalto University – Translational Neuroimaging (PhD student from the spring call)
Samuli Ripatti, University of Helsinki – Human Genetics, Biostatistics
Marco Savarese, University of Helsinki – Genetics
Tapio Seppänen, University of Oulu – Biomedical Signal Processing
Juha Sinisalo, University of Helsinki – Genetics, Developmental biology, Physiology
Jing Tang, University of Helsinki – Network Pharmacology, Systems Medicine, Medical Bioinformatics, Drug Repositioning
Ziaurrehman Tanoli, University of Helsinki –Drug Repurposing, Chemoinformatics, Personalized Medicine
Sergei Tarasov, University of Helsinki – Evolutionary Biology, Systematics, Comparative Phylogenetics, Coleoptera, Scarabaeinaei
Aleksei Tiulpin, University of Oulu – Machine Learning in Medicine, Deep Learning, Bayesian Inference (PhD student from the spring call)
Nelson Totah, University of Helsinki – Neurophysiology, Prefrontal Cortex, Neuromodulator, Attention, Learning
Esko Ukkonen, University of Helsinki – Combinatorial pattern matching, Design and analysis of algorithms, Machine learning, Computational biology
Mark van Gils, Tampere University – Health Data Analysis, Biomedical Engineering, Machine Learning, Decision Support, Artificial
Sampsa Vanhatalo, University of Helsinki – Infant Neurophysiology - Recording and Analysis Methods (PhD student from the spring call)
Simo Vanni, University of Helsinki – Visual Coding, Neurophysiology of Vision, Neurology of Vision, Functional Magnetic Resonance Imaging, Spiking Network Modeling
Tommi Vatanen, University of Helsinki – Human Microbiome, Bioinformatics, Machine Learning, Computational Systems Biology, Bayesian Statistics (PhD student from the spring call)
Ilpo Vattulainen, University of Helsinki – Biological Physics, Biophysics, Soft Matter, Life Science, Computational Science (PhD student from the spring call)
Antti Vehkaoja, Tampere University – Physiological Measurements, Wearable Sensors, Unobtrusive Monitoring, HRV
AI in Engineering
Industries are currently employing AI methods in numerous research and development tasks. Examples include product design, predictive maintenance, and combining physical models with data-based methods. There is a great potential also in replacing laboratory development and experiments with virtual laboratory-type approaches. Research topics include:
AI methods in industrial research and development, including:
AI for product design and optimization, combining physic-based and data-driven models.
AI for improving industrial operations: cyber security, anomaly detection in industrial time series and predictive maintenance.
Methods supporting AI in industrial deployments, including on-device learning and federated learning on edge devices.
Virtual laboratories for experimentation and cost-effective product design and validation.
AI methods for autonomous functions in land, sea, air and space vehicles and machines. These range from pilot assistance, collision avoidance and navigation systems to full-mission autopilots.
Keywords: Autonomous systems, Energy systems, Machine automation, Manufacturing, Materials, Mechanical engineering, Robotics
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Some of the supervisors have already recruited a PhD student for the AI-DOC program from the spring call and hence cannot recruit another AI-DOC PhD student from the autumn call (marked with the notion “(PhD student from the spring call)”). You can still express your interest in working with them, as many are still looking for PhD students outside the AI-DOC program and can make offers with their own funding from this autumn call.
Pekka Abrahamsson, Tampere University – Software Engineering, Information Systems
Riku Ala-Laurinaho, Aalto University – Digital Twins, Industrial Internet, Interoperability
Jerker Björkqvist, Åbo Akademi University
Shankar Deka, Aalto University – Nonlinear Systems, Data-Driven Techniques, Stability Theory, Robust Control, Telerobotic Surgery, Agricultural Robotics, Machine Learning, Optimal Control
Flyura Djurabekova, University of Helsinki – Materials, Extreme Environments, Dislocations, Radiation Effects, Multiscale Modelling
Tapio Elomaa, Tampere University – Machine Learning, Data Mining, Data Structures and Algorithms, Artificial Intelligence, Pattern Recognition
Arkke Johannes Eskola, University of Helsinki – Reaction Kinetics, Combustion Chemistry, Atmospheric Chemistry
Muhammad Faheem, University of Vaasa – Artificial Intelligence, Blockchain, Bigdata Cybersecurity, Smart Grid Communications
Adam Foster, Aalto University – Theoretical Solid State Physics, Surfaces, Interfaces, SPM
Benjamin Frandsen, University of Helsinki – Physical Chemistry, Spectroscopy, Infrared Spectroscopy, UV-Vis Spectroscopy, Experimental Spectroscopy, Theoretical Chemistry, Quantum Chemistry, Exploratory Research, Planetary Science, Venus, Atmosphere, Spectroscopy, Quantum Chemistry, Air-Water Interface, Aerosol Science
Merja Heinäniemi, University of Eastern Finland – Computational Biology, Biomedicine, Systems Biology, Molecular Biology
David Hästbacka, Tampere University – Software Engineering, Industrial Informatics, Software Architecture, Industrial Control, Smart Energy Systems
Theo Kurten, University of Helsinki – Chemical Sciences, Physical Sciences, Environmental Sciences
Heidi Kuusniemi, University of Vaasa / FGI – Navigation Technologies, GNSS, Sensor Fusion, IoT, Communications Engineering
Tommi Kärkkäinen, University of Jyväskylä – Machine Learning, Data Mining, Learning Analytics, Educational Technology (PhD student from the spring call)
Jose Lado, Aalto University – Machine Learning Methods to Engineer Quantum Materials
Sebastien Lafond, Åbo Akademi University – Parallel Systems, Energy Efficiency, Dataflow Languages, Scheduling Algorithms
Antti Lajunen, University of Helsinki – Farming Robots, Autonomous Machinery, Virtual Simulation, Electric Powertrains
Jose Lastra, Tampere University – Automation, Robotics, Industrial Informatics, Artificial Intelligence, CPS (PhD student from the spring call)
Lasse Laurson, Tampere University – Statistical Physics, Complex Systems, Materials Physics, Computational Physics
Junhe Lian, Aalto University – Plasticity, Damage, Ductile Fracture, Hydrogen Embrittlement, Additive Manufacturing
Johan Lilius , Åbo Akademi University – Energy Efficient Software, Autonomous Navigation Algorithms, Verification and Validation, Embedded Deep Neural Computing
Peter Liljeroth, Aalto University – Graphene, Scanning Tunneling Microscopy, Monolayers, Nanoribbon
Weiwei Lin, Aalto University – Bridge Engineering, Structural Engineering
Andreas Lundell, Åbo Akademi University – Global Optimization, Convex and Nonconvex MINLP, Mathematical Programming, MINLP
Kai Nordlund, University of Helsinki – Physics, Nanoscience
Mohamed Noureldin, Aalto University – AI Applications on Structural Engineering, LCA-LCC of Structures, Performance Based Design
Risto Ojala, Aalto University – Computer Vision, Intelligent Transportation
Thomas Olsson, Tampere University – Social Technologies, User Experience, CSCW, Social Matching, Critical Design
Luigia Petre, Åbo Akademi University – Formal Methods, Network Modelling and Analysis, Non-Functional Properties
Ivan Porres, Åbo Akademi University – Trustworthy Software & AI, Computer Science, Software Engineering
Matti Rissanen, University of Helsinki – Atmospheric Chemistry, Combustion Chemistry, Aerosol Formation
Juha Röning, University of Oulu – Computer Vision, Robotics, Intelligent Signal Analysis, Software Security
Mika Salmi, Aalto University – Additive and Digital Manufacturing, 3D Printing, Medical, Sustainability in Manufacturing
Kostas Sarakinos, University of Helsinki – Thin Films, In Situ Diagnostics, Surface Science, Growth Simulations, HiPIMS
Olli Seppänen, Aalto University – Construction, Management
Vivek Sharma, University of Helsinki – Computational Biophysics, Molecular Dynamics, Quantum Chemistry, Biological Energy Conversion
Amit Shukla, University of Vaasa – Computational Intelligence, Decision Making Under Uncertainty, Industry 4.0, Anomaly Detection, Transfer Learning
Marcelo Godoy Simoes, University of Vaasa – Power Electronics, Renewable Energy, Artificial Intelligence, Smart-Grid
Wojciech Solowski, Aalto University – Soil Mechanics, Material Point Method, Geotechnical Engineering
Luc St. Pierre, Aalto University – Mechanics of Materials, Cellular and Lattice Materials, Sandwich Panels, Composites
Konstantinos Stefanidis, Tampere University – Data Management
Jaakko Suutala, University of Oulu – Machine Learning, Signal Processing, Probabilistic Modelling, Artificial intelligence, Data Science
Kari Systä, Tampere University – Software Engineering
Zachary Taylor, Aalto University – Nanoengineering
Vagan Terzian, University of Jyväskylä – Computational intelligence, Machine (Deep) Learning, Intelligent Agents, Semantic Web, Data Science, Cyber-Security, Smart Cyber-Physical Systems, Industry 4.0.
Milica Todorovic, University of Turku – First Principles Materials Simulations, Artificial Intelligence
Dragos Truscan, Åbo Akademi University – Software Testing, Model-Based Testing
Jukka Vanhala, Tampere University – Electronics
Hanna Vehkamäki, University of Helsinki – Atmospheric Particle, Formation, Nucleation Molecular Clusters (PhD student from the spring call)
Jari Vepsäläinen, Aalto University – Mechatronics, Simulation Models, Energy Efficient Systems, Generative Design, Machine Learning
Raine Viitala, Aalto University – Measurement, Rotors, Roundness (PhD student from the spring call)
Valeriy Vyatkin, Aalto University – Automation, Software, Engineering, Artificial Intelligence
Petri Välisuo, University of Vaasa – Automation, Optimisation, Energy Technology, Image Processing (PhD student from the spring call)
Marina Waldén, Åbo Akademi University – Formal Methods, Distributed Systems
Quan Zhou, Aalto University – Robotic Instruments
AI in Language and Speech Technology
The area covers all aspects of natural language processing (NLP), a field of research dealing with computational analysis and generation of human language. NLP is a broad field which spans from highly technical research on machine learning techniques for written and spoken language data, through the myriad of individual tasks such as machine translation and information retrieval, to digital linguistics. The field is reliant on very large datasets and high performance computing, offering exciting software engineering and algorithmic challenges. Finland has a long tradition of top-notch NLP research, especially in the multilingual setting and, recently, large language model development.
Keywords: Foundation models, Human language technology, Natural Language Processing, NLP, Large language models, Speech recognition, Speech generation, Machine translation, Crosslingual models
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Some of the supervisors have already recruited a PhD student for the AI-DOC program from the spring call and hence cannot recruit another AI-DOC PhD student from the autumn call (marked with the notion “(PhD student from the spring call)”). You can still express your interest in working with them, as many are still looking for PhD students outside the AI-DOC program and can make offers with their own funding from this autumn call.
Paavo Alku, Aalto University – Analysis and Parameterization of Speech Production, Statistical Parametric Speech Synthesis, Spectral Modelling of Speech, Speech-Based Biomarking of Human Health, Cerebral Processing of Speech
Tom Bäckström, Aalto University – Privacy and Security in Speech Communication, Speech Enhancement, Acoustic Sensor Networks, Speech and Audio Coding (PhD student from the spring call)
Mathias Creutz, University of Helsinki – Natural Language Processing
Filip Ginter, University of Turku – Language Technology, Natural Language Processing
Maija Hirvonen, Tampere University – Translation, Interpreting, Multimodality, Accessibility, Audio Description
Lauri Juvela, Aalto University – Generative Deep Learning, Speech Synthesis, Machine Learning for Audiospeech, Signal Processing Audio Effects
Mikko Kurimo, Aalto University – Speech Recognition, Machine Learning, Language Modeling (PhD student from the spring call)
Veronika Laippala, University of Turku – Computational Linguistics, Text Linguistics, Corpus Linguistics, Digital Discourse Analysis
Jyrki Nummenmaa, Tampere University – Text Mining, Text Analysis, Question Answering, Combining Rule-Based and Machine Learning in NLP
Mourad Oussalah, University of Oulu – Social Media, Data Mining, Robotics, Data Fusion, Computer Vision
Tapio Salakoski, University of Turku – Artificial Intelligence, Language Technology, Machine Learning, Bio and Health Informatics, Learning Analytics and Technology, Digital Humanities
Nitin Sawhney, Aalto University – Human-Computer Interaction, Human-Centred Design, Participatory Action Research, Interaction Design and Children, Voice and Audio
Jörg Tiedemann, University of Helsinki – Computational Linguistics, Machine Translation, Machine Learning, Natural Language Processing, Information Retrieval (PhD student from the spring call)
Martti Vainio, University of Helsinki – Phonetics, Speech Technology, Speech Synthesis, Prosody, Phonology
Roman Yangarber, University of Helsinki – NLP, Deep learning
AI in Society and Business
The area examines the societal, ethical, and economic dimensions of AI, including trustworthy and societally acceptable AI as well as the consequences of the uses of AI. It brings together AI research with social sciences and humanities to gain in-depth understanding of AI’s role in organizations, society, business, and the economy. It includes uses of AI in education and education about AI. The area fosters interdisciplinarity to reinforce cross-cutting themes such as sustainability, ethics, equity, trust, and social responsibility.
Keywords: AI in business operations, AI in society, AI and Education, AI Ethics
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Some of the supervisors have already recruited a PhD student for the AI-DOC program from the spring call and hence cannot recruit another AI-DOC PhD student from the autumn call (marked with the notion “(PhD student from the spring call)”). You can still express your interest in working with them, as many are still looking for PhD students outside the AI-DOC program and can make offers with their own funding from this autumn call.
Ilkka Arminen, University of Helsinki – User-Centered Technology Studies
Kirsimarja Blomqvist, LUT University – Trust, Knowledge, Collaborative innovation, New Forms of Organizing, Digital Platforms
Tero Erkkilä, University of Helsinki – Governance, Public Institutions, Accountability, Global Policy Indicators
Daria Gritsenko, University of Helsinki – Policy Studies, Algorithmic Governance, Environmental Policy, Social Data Science
Jukka Hallikas, LUT University – Purchasing and Supply Management, Supply Chain Management, Operations Management, Risk Management in Operations
Juho Hamari, Tampere University – Gamification, Game Studies, Esports, Metaverse, VR
Johanna Hautala, University of Vaasa – Knowledge, Creativity, Technology, Space, Mobility (PhD student from the spring call)
Katri Havu, University of Helsinki – EU Law in Member State Courts, Damages Liability Under EU Law, Civil Law Issues Related to Artificial Intelligence / Robotics
Markku Heikkilä, Åbo Akademi University – Real Options, Valuation, Fuzzy Logic, Business Analytics, Portfolio Selection
Antero Holmila, University of Jyväskylä – Postwar Studies, US and British Foreign Policy, the Holocaust, Wartime, Comparative History
Jan Holström, Aalto University – Design Science, Digital Construction, Direct Digital Manufacturing, Intelligent products, Operations Management
Risto Hotulainen, University of Helsinki – Educational Assessment
Juho Kanniainen, Tampere University – Data Science, Financial Data Analytics, Time Series Analysis, Networks (PhD student from the spring call)
Kimmo Karhu, Aalto University –Digitalization, Platform Strategy, Technology Innovation Management
Siavash Khajavi, Aalto University – Operations Management, Digital Twins, Additive Manufacturing, Blockchain Technology
Marko Kohtamäki, University of Vaasa – Servitization, Strategy-as-Practice, Product-Service Systems, Business Model Dynamic Capabilities
Ida Koivisto, University of Helsinki – Administrative Law
Kathrin Komp-Leukkunen, LUT University – Work and Retirement, Welfare Policies, Social Sustainability, Population Ageing, Research Methods
Päivi Korpisaari, University of Helsinki – Information Law
Raine Koskimaa, University of Jyväskylä – Digital Culture, Digital Literature, Game Cultures, Game Studies, Narratology
Riikka Koulu, University of Helsinki – Law, Media and Communications
Ari Kuismin, University of Jyväskylä – Organizational Space, Organization Theory, Communication, Entrepreneurship
Sanna Kumpulainen, Tampere University – Task-Based Information Access, Real-World Settings, Information Behavior
Krista Lagus, University of Helsinki – Social Data Science, Language Modeling, Cognition, Machine Learning, Text Exploration
Raimo Lahti, University of Helsinki – Criminal Law and Other Criminal Sciences, Medical Law and Biolaw
Asko Lehmuskallio, Tampere University – Visual Studies, Media Anthropology, Digital Culture, Media Theory
Susanna Lindroos-Hovinheimo, University of Helsinki – Legal Theory, EU-law, Constitutional Law, Political Theory
Yong Liu, Aalto University – AI Robot, Business Analytics, Information Systems Research, Business Intelligence and Tourism Management
Jukka Luoma, Aalto University – Competitive Dynamics, Analytics, Behavioral Strategy (PhD student from the spring call)
Pasi Luukka, LUT University – Data Analysis, Feature Selection, Classification, Fuzzy Systems, Multicriteria Decision Making (PhD student from the spring call)
Linda Mannila, University of Helsinki – Digital Competence, Computational Thinking, AI-literacy, K-12 education, Teacher Training
Markku Maula, Aalto University – Venture Capital and Private Equity, Corporate Venturing, Corporate Venture Capital, Cross-Border Venture Capital, M&A
József Mezei, Åbo Akademi University
Jukka Mähönen, University of Helsinki – Cooperative Law, Corporate Law, Law and Economics, Accounting Law, Sustainability Law
Matti Mäntymäki, University of Turku – Responsible AI, AI Governance, Blockchain, Social Media
Matti Nelimarkka, University of Helsinki – Political Science, Human-Computer Interaction, Social Computing, Technology and Society
Pasi Nevalainen, University of Jyväskylä – Business History, State-Owned Companies, Institutional Change
Kaarina Nikunen, Tampere University – Datafication, Solidarity, Affectivity, Social Media, Migration
Arto Ojala, University of Vaasa – International Business, Entrepreneurship, Digitalization, Digital Platfroms, Space Business
Esko Penttinen, Aalto University – Automation, Artificial Intelligence, Governance, eXtensible Business Reporting Language (XBRL)
Taina Pihlajarinne, University of Helsinki – Intellectual Property Law, Digitalisation, Sustainability
Paavo Pylkkänen, University of Helsinki – Philosophy of Science, Metaphysics, Philosophy of Mind, Philosophy of Physics, Consciousness, Philosophy of Cognitive Science, De-Broglie Bohm Theory, Information Studies
Risto Rajala, Aalto University – Service Engineering and Management, Information Systems, Innovation Management, Organizational and Strategic Change, Technology Entrepreneurship
Mikko Ranta, University of Vaasa – Accounting, Machine Learning, Data Analytics, ESG (PhD student from the spring call)
Samuli Reijula, University of Helsinki – Philosophy of Science, Cognitive Science
Paavo Ritala, LUT University – Innovation Ecosystems, Coopetition, Business Models, Digital Strategy, Sustainable Business (PhD student from the spring call)
Rebekah Rousi, University of Vaasa – User Experience, Cognitive Science, Usability, Communication, Philosophy
Lauri Saarinen, Aalto University – Operations Management, Operations Strategy, Supply Chain Management, Time-Based Competition, Manufacturing Innovation
Joni Salminen, University of Vaasa – Personas, Digital Marketing, Startups, Platforms
Jens Schmidt, Aalto University – Cognitive Micro-Foundations of Strategy, Strategic Factor Markets, Entrepreneurial Strategy, Demand-Side Strategy, Corporate Strategy in Platform Ecosystems, Ecosystem Emergence, Ecosystem Leadership
Anu Sivunen, University of Jyväskylä – Organizational Communication, Virtual Teams, Emergent Technologies, Remote and Hybrid work (PhD student from the spring call)
Karoliina Snell, University of Helsinki – Science and Technology Studies, Sociology, Biomedicine, Health Data, Innovation Policy
Veikko Surakka, Tampere University – Human-Computer Interaction, Interaction, Psychophysiology, Human Machine Interaction, User Experience, Neuropsychology, Neuroscience, Social Media, Psychotherapy, Prototyping
Karoliina Talvitie-Lamberg, University of Jyväskylä – Datafication, Digital Disconnection, Journalism, Social Bots, Vulnerability (PhD student from the spring call)
Matti Tedre, University of Eastern Finland – Philosophy of Computer Science, Computer Science Education Research, AI Education
Mikko Tolonen, University of Helsinki – Digital Humanities, Intellectual History, History of Ideas, History of Philosophy, Book History, Computational History, Computational Humanities, Data Science
Aaro Tupasela, University of Helsinki – Sociology, Medical biotechnology
Markku Turunen, Tampere University – Human-Computer Interaction, Multimodal Interaction, Pervasive Computing, Mobile Application, Spoken Interaction
Minna van Gerven, University of Helsinki – Comparative Welfare States and Systems, Social Security, Reconciliation of Work and Family, Digitalization and Automation, Adoption, Use and Acceptance of Technologies, Policy Process, Collaborative Governance (PhD student from the spring call)
Ward van Zoonen, University of Jyväskylä – Emergent Work, Datafication, Technology Use, Employee Wellbeing
Lauri Viitasaari, Aalto University – Stochastic Partial Differential Equations, Mathematical Statistics, Finance (PhD student from the spring call)
Mikko Villi, University of Jyväskylä – Media, Digital Culture, Online Journalism
Mika Viljanen, University of Turku – Law, Private Law, Private Law Theory, Torts, Contracts, Contracting, Financial Regulation, Banking Regulation
Kaisa Väänänen, Tampere University – Human-Centered AI, AI Design and Evaluation Methods, User Experience with AI, Interactive and Ubiquitous AI Applications, AI Systems for Social and Environmental Sustainability (PhD student from the spring call)
Anna-Mari Wallenberg, University of Helsinki – Cognitive Science
Nannan Xi, Tampere University – Gamification, AR/VR, Metaverse, Information Systems, Consumer Decision Making (PhD student from the spring call)
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
What we offer
Research environment
The AI-DOC program is hosted by the Finnish Center for Artificial Intelligence FCAI, an international research hub and one of the Research Council of Finland’s Flagships, hubs of top-level research and impact. FCAI’s research spearheads are ranked in the top-3 in Europe and in the top-30 globally and it’s built on a long track record of pioneering machine learning research in Finland. FCAI is also tightly-knit part of ELLIS, the pan-European AI network of excellence, hosting the local ELLIS Unit and coordinating ELISE, a European Network of Artificial Intelligence Excellence Centres.
Partner universities
Ten universities take part in the AI-DOC program (in alphabetical order): Aalto University, LUT University, Tampere University, University of Eastern Finland, University of Helsinki, University of Jyväskylä, University of Oulu, University of Turku, University of Vaasa, Åbo Akademi University. In the autumn call, there are positions still left in all universities except Tampere University, University of Vaasa, and University of Eastern Finland.
The AI-DOC program has a broad range of possibilities to work with companies and academic partners. Jointly designed PhD topics and joint supervision (e.g., between research areas, universities, and together with industry) will provide PhD students with a large pool of expertise and guidance. Industrial collaboration is possible in all the research areas. Potential topics for industry collaboration include 1) AI for radio systems (e.g., 6G), network optimization, and cloud technologies, 2) AI for pharmaceutical development, imaging, and personalized medicine, 3) AI for smart systems, software development, cybersecurity, sensing, energy management, production processes, manufacturing, and predictive maintenance, 4) generative AI, LLMs, and speech technologies, and 5) trustworthy AI in public services, fintech and business operations. All students are offered entrepreneurship training, a connection to the local startup ecosystem, and access to a company fair to bridge post-PhD career options. Our international academic collaborations provide top-quality mobility possibilities, e.g., 6-month research exchanges and access to summer schools and workshops.
Potential collaborators include
The PhD students will have access to excellent computing facilities through our local and national computational services. CSC – IT Center for Science has partnered with the doctoral program, further facilitating our researchers’ access to high-end computing infrastructure, including Europe’s fastest supercomputer LUMI.
The doctoral program offers a flying start to the PhD studies by integrating the PhD topics into ongoing research and providing peer support and help in getting the first scientific paper out quickly. The program organizes summer schools and research seminars that further support learning from peers and building networks. We also offer help for international students to settle in Finland, e.g., with language courses and support with accessing practical information.
We are strongly committed to offering everyone an inclusive and non-discriminating working environment and warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field.
The student experience
Doctoral researcher Sophie Wharrie
“I have a master’s degree in applied math from Australia. When I co-founded a startup, I realized there are gaps in making machine learning work in healthcare. This motivated me to switch to the scientific side and pursue a PhD at FCAI, where professors like Samuel Kaski have expertise in this exact area. The experience has been very interdisciplinary, from developing machine learning methods to pursuing collaborations across the medical domain. Throughout I’ve been a core member of Women in AI Finland, organizing events, mentoring and broadening my network.”
Read more about Sophie’s ongoing project, Artificial Intelligence for Personalised Medicine for Real, here.
Job details
In the autumn call, we looking for PhD students for the 24 positions in the AI-DOC program. The accepted candidates are expected to start in the beginning of January 2025.
The positions are based at one of the partner universities of the AI-DOC program. In the autumn call, there are positions still left in all partner universities except for Tampere University, University of Vaasa, and University of Eastern Finland. The recruiting university will be the same as that of the primary supervisor. The matching of the candidates with supervisors will be done during the review process and the candidates will have a chance to prioritise the supervising professor they want to work with (see details in FAQ).
All positions are fully-funded. PhD student contracts will be made for three years. The terms of employment and the salaries are based on the General Collective Agreement for Universities. The contract includes occupational healthcare.
In addition to the 24 AI-DOC positions, many of the supervisors taking part in the call are also looking to recruit PhD student with their own funding from this call. Individual supervisors from Tampere University, University of Vaasa, and University of Eastern Finland can also make offers with their own funding.
What we look for
Successful candidates should have previous experience in machine learning, statistics, artificial intelligence, in another relevant field, demonstrated by success in related studies and ideally also by some publication record. For the candidates applying for positions in applied research areas, relevant experience and expertise in the application area are valued in the evaluation. Other merits demonstrating suitability for a researcher position can also be considered. Candidates should hold (or shortly receive) a Master’s degree in computer science, statistics, electrical engineering, mathematics, relevant application area or in another relevant field. The degree should be completed before the start of the employment.
The positions require the ability to work both independently and as part of a team in a highly collaborative and interdisciplinary environment. The primary working language in the joint program activities is English, so good written and oral command of English is required (see details in FAQ).
Note: In the AI-DOC autumn call we target on new applicants and applicants that were shortlisted in the first AI-DOC call. If you were not shortlisted in the spring call, your application will not be re-evaluated.
Formal requirements
The accepted candidates of expected to start in the beginning of January 2025. Candidates accepted in the AI-DOC program will need to apply for the study right for doctoral studies at the university where they will be based. Depending on the partner university where the position is based, the candidate will either need to have the study right prior to recruitment, or get the study right within the probation period of the first 6 months. The requirements for the study right can differ slightly between the universities, but the general prerequisites are:
Master’s degree in a relevant field (completed by the time of applying for the study right)
Proficiency in English, Finnish, or Swedish (typically demonstrated with an official certificate, e.g., IELTS/TOEFL)
Please see FAQ (question 7) for university-specific requirements.
How to apply
Please submit your application by September 9, 2024 (23:55 Finnish time) through the Workday recruitment system.
Candidates will apply to all universities and application areas with the same joint application. In the application form, you are able to indicate which specific research areas and supervisors you are interested in as well as to describe your research interests in more detail with a few keywords. Note: Candidates who are interested to work with a supervisor based at the University of Helsinki, will have to submit a parallel application to the university’s own recruitment system. Please note that the application needs to be submitted to both of the recruitment systems to ensure a proper review. See further details.
Note: You log in to the recruitment system with an email account. This email address is used for communication during the review process. Make sure to use an email account that you follow frequently and use the same email addresses in all your application documents (e.g. CV).
Required attachments:
Motivation letter (1–2 pages). Please specify the research area(s) and preferably the supervisors with whom you want to work.
CV
List of publications (if relevant; please do not attach full copies of publications)
A transcript of master’s/bachelor’s studies and the degree certificate of your latest degree. If you don’t have a Master's degree, a plan of completion must be submitted.
In the application form, you are also asked to provide contact details of two senior academics who can provide references.
All materials should be submitted in English in a PDF format. Adding attachments in secured format is not advised, since they may not open properly. You can upload max. five files to the recruitment system, each max. 5MB. Please do not add other attachments than what is required above.
The call is now closed.
Review process
September 9 – Call closes
Mid-September – Formal check
Mid-September to Early October – General review and shortlist (outcome will be informed later in October)
Early to mid-October – Individual review and interviews
Mid- to late-October – Expressions of Interest sent to candidates (non-binding)
Late October – Candidates rank the Expressions of Interest they received
Early November – Review by the Recruitment Committee and binding offers
Schedule is subject to minor changes.
Frequently asked questions
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The AI-DOC program is a joint effort of ten Finnish universities and recruited candidates will be based in one of these universities. The recruiting university depends on where he primary supervisor works. You can read more about the universities on their websites:
Aalto University
LUT University
Tampere University
University of Eastern Finland
University of Helsinki
University of Jyväskylä
University of Oulu
University of Turku
University of Vaasa
Åbo Academi UniversityIn the autumn call, there are positions still left in all partner universities except for Tampere University, University of Vaasa, and University of Eastern Finland. Individual supervisors from these universities can still recruit with their own funding.
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The AI-DOC program has around 350 senior researchers specialized in different areas who can work as supervisors. The potential supervisors are listed under each research area and you can visit their website to look for more details about their research focus.
You don’t need to contact the supervisor(s) you are interested in before applying. You can do so if you wish, but please notice that many supervisors receive a great amount of emails daily, so they might not be able to get back to you.
Matching the candidates with the suitable supervisors will be done during the review process. In the application form, you can indicate which professor(s) you would like to work with and we will take this into account in the review process. Candidates proceeding to the final stages of the call (Expressions of Interest), will also have a chance to rank the proposals they receive in the order of preference.
We aim for joint supervision, meaning one candidate will have one primary and one or more co-supervisors providing a larger pool of expertise and guidance (e.g., AI fundamentals + application area, cross-university, and university + industry).
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Yes! We have many potential partner companies that are interested in collaboration. Interest for collaboration with a company can be taken into account during the review process; detailed discussion with companies and possible agreements will be made after a candidate is accepted into the doctoral program.
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In the autumn call, we are looking to recruit 23 new PhD students. Overall, there are 100 new student recruited in the AI-DOC program. Positions are divided between the ten partner universities based on the supervision capacity. Positions in the autumn call:
Aalto University: 8 (30 positions in total)
LUT University: 2 (5 positions in total)
Tampere University: - (10 positions in total)
University of Eastern Finland: - (5 positions in total)
University of Helsinki: 5 (20 positions in total)
University of Jyväskylä: 1 (7 positions in total)
University of Oulu: 3 (10 positions in total)
University of Turku: 2 (7 positions in total)
University of Vaasa: - (3 positions in total)
Åbo Academi University: 3 (3 positions in total)In addition to the 23 AI-DOC positions, many of the supervisors taking part in the call are also looking to recruit PhD student with their own funding from this call. Individual supervisors from Tampere University, University of Vaasa, and University of Eastern Finland can also make offers with their own funding.
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All our positions are fully funded. All universities follow the General Collective Agreement for Universities, and the terms of employment are determined in accordance with the collective agreement. All employees have access to the occupational health care services and are covered by the Finnish national health insurance system.
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The contract period is three years. The students are expected to start in the beginning of January 2025 at the latest.
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All candidates accepted in the program need to fulfil the admission criteria of the university they will be based at (see question 1). The basic requirements include a Master's degree and proficiency in Finnish, Swedish or English. Please check the admission requirements for doctoral studies before you apply for the PhD student position. Be prepared to present additional documents in case you will proceed to the recruitment and apply for doctoral study right.
More information about the admission criteria:
Aalto University
LUT University
Tampere University
University of Eastern Finland
University of Helsinki
University of Jyväskylä
University of Oulu
University of Turku
University of Vaasa
Åbo Academi University -
English is the primary working language in the joint program activities as well as in many of the research groups, so a good written and oral command of English is essential.
You don’t need a language skill certificate at the point of application. Please note, however, that if you get accepted in the doctoral program, you will need to apply for a PhD study right in the university you will be based at. Universities have different practices in what they require in the study right application and some require an official language certificate. Please see question 7 for more details.
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You have to primarily apply in the joint call to become accepted in the Finnish Doctoral Program Network in Artificial Intelligence (AI-DOC) (see how to apply).
After being accepted in the AI-DOC program, successful candidates will need to apply separately for a PhD study right in the university they will be based, typically within the probation period of first six months (see question 7 for details).
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First: Apply to this call following the instructions here.
Second: Submit your application also to the parallel call of the University of Helsinki. See instructions here.
Please submit both of these applications within the call deadline. Your application will be processed following the joint review process of this call.
Interest in working with a supervisor affiliated with the University of Helsinki does not rule out the possibility to work with supervisors of other universities.
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If you have received your doctoral study right no earlier than November 1, 2023 you can apply in this call.
Students who have received their PhD study right before November 2023 are not eligible.
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Please submit a carefully written, max. 2-page motivation letter in which you explain
1) why you want to do a PhD in this doctoral program,
2) why you are interested in the research area(s) that you are applying to, and
3) if you have more specific plans for the future direction of your research.In addition, if you can, please mention specific supervisors you are interested in working with and ideally highlight how your past experience and current interests align with their research.
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Typically, we expect at least one of the referees to be at the level of independent investigator, principal scientist, group leader, lecturer or professor. Postdoctoral referees can be considered as well. Classmates or PhD students are not accepted as referees.
We will contact only the referees of shortlisted candidates, starting in October.
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All the applicants benefit of the possibility to simultaneously apply to all ten partner universities. Thus, all the partner universities of the doctoral program will be organized an access to the application documents each applicant submits. The access is admitted to the personnel involved in the recruitment process, especially HR personnel and academic experts participating the evaluation of the candidates´ merits as well as members of relevant decision making bodies of each partner university.
We may collect and process the following categories of personal data about you:
Contact information (name, address, email, phone number)
Personal details (date of birth, nationality, gender)
Transcripts of studies, degree information and degree certificates
Professional skills, employment history and qualifications (CV, resume, motivation letters, references, educational and professional accomplishments)
Documents concerning recruitment process and decisions (interview notes, statements and assessment results)
Research area(s) that the applicants are interested in working in
Principal investigator(s)/supervisors that the applicants are interested in working with
Names of the senior researchers giving recommendations
Recommendations of the senior academics named by the applicants and other statements by the academic experts – person submitting recommendation does not have access to the application materials
Any other personal data that you provide to us during the recruitment process Aalto University will, on behalf of all involved universities, receive and collect the application documents as well as the identification data needed for the recruitment process. Aalto University stores the data during the process and provides a safe access to the recruitment system for the representatives of other partner universities.
We collect and process your personal data for the following purposes:
Assessing your suitability for employment within our respective organizations
Evaluating your professional skills and qualifications
Contacting you for interview purposes
Communicating with you about the recruitment process
Complying with legal obligations [and reporting requirements]
In the first phase, the partner universities will jointly handle the applications to ensure the optimal matching of interests expressed by the applicants and the available positions. Documents for each partner university own decision making and archiving purposes will be provided for partner universities as necessary. After the application round, Aalto University will store all the application data. Aalto University data retention rules (Data Management Plan TOS) will be followed, and no information is kept longer than necessary. Even though the necessary information is gathered jointly by partner universities, the recruitment and study application processes will be conducted onwards according to each university’s own processes and practices. Please find the privacy notices of each partner universities to get more information on the legal basis for processing the personal data as well as practices of processing of the personal data in partner universities’ standard recruitment processes:
Aalto University: privacy_notice_recruitment_20180525_paivitys_020120.pdf (aalto.fi)
LUT University: LUT-privacy_notice_job-applicants-2024.pdf
Tampere University: Privacy notice - HR Services of Tampere University | Tampere universities (tuni.fi)
University of Eastern Finland: Processing of personal data | University of Eastern Finland (uef.fi) -> Recruiting
University of Helsinki: Data protection | University of Helsinki -> Recruitment
University of Jyväskylä: Privacy notice for job applicants | University of Jyväskylä (jyu.fi)
University of Oulu: Data privacy notice - Job applicants at the University of Oulu | University of Oulu
University of Turku: Privacy Notice | University of Turku (utu.fi)
University of Vaasa: Tietosuoja - Vaasan yliopisto (uwasa.fi) (available only in Finnish)
Åbo Akademi: Privacy Notices | Åbo Akademi University (abo.fi)
All applicants need to have or apply also a study right. Information concerning processing of personal data in student application process and as a doctoral student is provided by each partner university
Aalto University: Data privacy notice for applicants | Aalto University
The partner universities are joint controllers of your personal data. Should you have any questions concerning the processing of personal data in the recruitment process, please don’t hesitate to contact coordinating organization, Aalto University ai-doc [at] aalto.fi. Read more on your rights as data subject in here.
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In the AI-DOC autumn call we target on new applicants and applicants that were shortlisted in the first AI-DOC call. Shortlisted applications from the spring call will not be automatically included in the autumn call, so if you want to participate in the autumn call, you will need to re-submit your application through the application form.
If you were not shortlisted in the spring call, your application will not be re-evaluated.
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Please read this page first carefully to see if your question is already answered here. If not, please contact us at ai-doc [at] aalto.fi.
Due to the large number of applications received in the call, there can be some delay with the answering times.