Publisher
source

Haoyu Chen

2 months ago

Fully Funded PhD in Embodied AI, Computer Vision, and Neural Signal Processing 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 through the InfoTech project. The starting gross salary is approximately €2,600–€2,800 per month (before taxes), based on the Finnish university salary system, with a possible performance-based component up to 50%. Sufficient computing resources and grants for travel, research visits, and conference attendance are provided. Wellness and staff benefits are included.

Deadline

Expired

Country flag

Country

Finland

University

University of Oulu

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Where to contact

Official Email

Keywords

Computer Science
Machine Learning
Biomedical Engineering
Electrical Engineering
Computer Vision
Eeg
Robotics
Diffusion Models
Multimodal Ai
- Neuroscience
Neural Signal Processing

About this position

The University of Oulu is seeking a highly motivated PhD candidate for a fully funded 3-year position in Embodied AI, focusing on non-invasive brain signal decoding for neural 3D human motion reconstruction and transfer using latent diffusion models. The project, "ThinkControl," is funded by InfoTech and runs from 2026 to 2028 at the Center for Machine Vision and Signal Analysis (CMVS), Faculty of Information Technology and Electrical Engineering.

The research will involve advanced human biosignal (EEG, EMG, fMRI) analysis, multimodal large language models, computer vision, 3D human modeling, and robotic control. The goal is to develop next-generation brain–machine interfaces by decoding EEG signals into continuous latent representations for fine-grained control of 3D human motion. The interdisciplinary team collaborates with neuroscience and clinical experts, including VR-based stroke rehabilitation, and offers opportunities for international research visits and conference participation.

Applicants must hold a recent Master's degree (within five years) in computer science or a related field, with strong motivation for high-quality, interdisciplinary research. Experience in AI, machine learning, computer vision, or related areas is required, along with excellent English communication skills. The position is supervised by Assistant Professor Haoyu Chen and postdoc researcher Delfin Tursin, both with extensive expertise in AI and biosignal processing.

The University of Oulu provides a supportive, international environment with access to top-tier computing resources (LUMI, Puhti, Mahti), wellness benefits, and career development opportunities. The starting salary is €2,600–€2,800 per month, with additional performance-based components. The application deadline is December 25, 2025. For more information and to apply, visit the official job posting or contact Assistant Professor Haoyu Chen at [email protected].

Funding details

The position is fully funded for 3 years through the InfoTech project. The starting gross salary is approximately €2,600–€2,800 per month (before taxes), based on the Finnish university salary system, with a possible performance-based component up to 50%. Sufficient computing resources and grants for travel, research visits, and conference attendance are provided. Wellness and staff benefits are included.

What's required

Applicants must have a Master's degree in computer science or a relevant field awarded within the past 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 fields, and excellent written and interpersonal communication skills in English. Experience with AI/deep learning algorithms is appreciated. Applicants must also meet the requirements of the University of Oulu Graduate School (UniOGS).

How to apply

Apply through the University of Oulu recruitment system by December 25, 2025. Submit a motivation letter, CV, list of publications, research proposal, contact information for two referees, and scanned copy of your master's degree certificate. The application must be in English.

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