University of Oulu
10 months ago
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PhD in Embodied AI, Computer Vision, and Biosignal Analysis at University of Oulu University of Oulu in Finland
Degree Level
PhD
Field of study
Computer Science
Funding
The position is fully funded for 3 years (2026–2028) as part of the InfoTech-funded project 'ThinkControl.' The starting gross salary is approximately €2,600–€2,800 per month (before taxes), with a possible performance-based component up to 50% of the job-specific salary. Sufficient computing resources, travel grants, and wellness benefits are provided. A six-month trial period applies.
Deadline
Expired
Country
Finland
University
University of Oulu
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Keywords
About this position
The University of Oulu in Finland is offering a fully funded 3-year PhD position in Embodied AI as part of the InfoTech-funded project “ThinkControl: Non-Invasive Brain Signal Decoding for Neural 3D Human Motion Reconstruction and Transfer Using Latent Diffusion Models” (2026–2028). The position is based at the Center for Machine Vision and Signal Analysis (CMVS), Faculty of Information Technology and Electrical Engineering. The research focuses on human biosignal analysis (EEG, EMG), multimodal large language models and computer vision, 3D human motion modeling, robotic control, and latent diffusion models for neural motion reconstruction.
The successful candidate will develop machine learning methods to decode EEG-based motor imagery for 3D human motion reconstruction, process multi-modality data (EEG, EMG, fMRI), and leverage multimodal AI models for neural interaction. The project environment is highly interdisciplinary, involving collaboration with neuroscience and clinical experts, and offers opportunities for international research visits and conference participation. The PhD student will be supervised by Assistant Professor Haoyu Chen and postdoc researcher Delfin Tursin, both with strong backgrounds in AI, computer vision, and biosignal processing.
Applicants must have a Master’s degree in computer science or a related field, awarded within the last five years, and demonstrate strong motivation for high-quality, interdisciplinary research. Excellent English communication skills are required, and experience with AI/deep learning algorithms is appreciated. The position is open to international applicants and offers a starting gross salary of €2,600–€2,800 per month, with additional performance-based components, computing resources, travel grants, and wellness benefits. The University of Oulu provides a supportive, international research environment and a high quality of life in Finland.
To apply, candidates should submit a motivation letter, CV, list of publications, research proposal, contact information for two referees, and a scanned copy of their master’s degree certificate through the University of Oulu recruitment system by December 25, 2025. For further information, contact Assistant Professor Haoyu Chen at [email protected].
Funding details
The position is fully funded for 3 years (2026–2028) as part of the InfoTech-funded project 'ThinkControl.' The starting gross salary is approximately €2,600–€2,800 per month (before taxes), with a possible performance-based component up to 50% of the job-specific salary. Sufficient computing resources, travel grants, and wellness benefits are provided. A six-month trial period applies.
What's required
Applicants must have a Master's degree in computer science or a relevant field awarded within the last five years. Strong motivation for high-quality, ground-breaking research and a transdisciplinary research orientation are required. Candidates should have demonstrated research experience or interest in AI, machine learning, computer vision, or related areas. Excellent written and interpersonal communication skills in English are essential. Experience with AI/deep learning algorithms and development is appreciated. Applicants must also meet the requirements of the University of Oulu Graduate School (UniOGS).
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Professors
Assistant Professor
Finland
Research Interests
Human-robot Interaction
Artificial Intelligence
Machine Learning
Motion Analysis
Gesture Recognition
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.