Postdoctoral Research Fellow / Tutkijatohtori (Deep Learning for Machine and Robot Perception)
About this role
Postdoctoral Research Fellow / Tutkijatohtori (Deep Learning for Machine and Robot Perception)
We are looking for a Postdoctoral Research Fellow to work on deep learning methodologies for machine and robot perception. The position is funded by the Horizon Europe project OPERA (Open Perception, Learning, and Decision-Making Toolbox for General Purpose Robot AI), and the selected applicant will be a member of the Signal Analysis and Machine Intelligence group led by Professor Moncef Gabbouj, and closely collaborate with the Machine Intelligence group led by Professor Alexandros Iosifidis, on achieving the goals and objectives of Tampere University team within the project.
The position is full-time starting from November 1 st , 2026, until the end of the project September 30 th , 2030. In case a selected applicant starts later than the start of the project, the duration of the position will be adjusted to end at the end of the project. The position is placed in the Unit of Computing Sciences within Tampere University's Faculty of Information Technology and Communication Sciences. The workplace is located at Hervanta Campus of Tampere University, Finland.
JOB DESCRIPTION
The postdoctoral researcher fellow at Tampere University will propose and develop novel deep learning methodologies, disseminate their results in high-quality publications in international conferences and journals, interact with project partners in project activities, integrate their methodologies and related baselines to the toolbox of the project. The selected postdoctoral researcher fellow will also be responsible for the project deliverables related to the tasks below, arranging and attending period meetings with the researchers in the team and in the consortium, publishing high-quality papers in relevant conferences and journals. The research topics for the selected applicant are the following:
Efficient human-centric active perception and learning
Social signal analysis and collaborative lear