Doctoral and post-doctoral (Computer vision and deep learning) positions open in Hybrid Intelligence research programme

The researchers will join the Research unit at the Faculty of Information Technology and Electrical Engineering, Center for Machine Vision and Signal Analysis (Faculty of ITEE, CMVS research center).

Postdoctoral Researcher and Doctoral Researcher (Computer vision and deep learning), 4 years fixed-term

We are looking for a Postdoctoral Researcher and a Doctoral Researcher (Computer vision and deep learning) to join us in the Hybrid Intelligence (HI) research programme (Profi7) at the University of Oulu. Both the doctoral and the post-doctoral positions are 4 years fixed-term, in between 2024-2028.

The University of Oulu is one of the biggest and most multidisciplinary universities in Finland. We create new knowledge and innovations that help to solve global challenges. We offer you an international and inspiring working environment where you are given responsibility and can use your skills, develop yourself and do work that matters. Our flexible and family-friendly workplace makes it easy for you to balance work and leisure. The University of Oulu is ranked in the top 3% of the world´s universities.

The Center for Machine Vision and Signal Analysis (CMVS) is a creative, open, and internationally attractive research center, combining the expertise of the University of Oulu computer vision and biosignal analysis scientists. Through expertise spanning decades and extensive international collaboration, CMVS continues to conduct internationally acknowledged work on the cutting edge of its research areas.

About the jobs

The positions are part of the Hybrid Intelligence: Human-AI Co-evolution and Learning in Multi-realities (HI) profiling research program at the University of Oulu, funded by the Research Council of Finland in the Profi7 initiative. Your role will involve developing data processing and computing technology to help humans and machines understand each other in the following ways:

By including machine learning methods for interpreting human emotions, intentions, preferences, and decision-making, it analyses facial expressions, body behaviors, and physiological signals

Endowing machines with capabilities for expressing emotions through advanced interactive behavior synthesis algorithms

Helping humans to understand machines by visualizing and explaining the internal states and status of data, algorithms, and models through multi-modality for mixed-reality interfaces.

Publish high-quality research outcomes on top-tier venues to ensure the degree.

Apply by 31st of March 2024.

Doctoral Researcher, Computer vision and deep learning
Read more and apply for the Doctoral position here.

Postdoctoral Researcher, Computer vision and deep learning
Read more and apply for the Doctoral position here.