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Tampere University is seeking a Postdoctoral Research Fellow to develop deep learning methods for machine and robot perception. The role is funded by Horizon Europe OPERA and will join the Signal Analysis and Machine Intelligence group under Prof. Moncef Gabbouj and collaborate with Prof.
Alexandros Iosifidis’ group. This full-time position runs from 1 November 2026 to 30 September 2030 at Hervanta Campus, Tampere, Finland.
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 1st, 2026, until the end of the project September 30th, 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.
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:
In addition, the duties of the postdoctoral researcher fellow may include some teaching tasks (5-10 %) in topics connected to their expertise.
The full‑time position will be filled for a fixed‑term period starting from November 1st, 2026 until the end of the project September 30th, 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 salary will be based on both the job requirements and the employee’s personal performance in accordance with the Finnish University Salary System. According to the criteria applied to teaching and research staff, the position of a postdoctoral researcher fellow is placed on level 5 of the job requirements scale. A typical starting salary for a postdoctoral researcher fellow is 4000-4200 EUR/month. The salary increases based on performance.
As a member of staff at Tampere University, you will enjoy a range of competitive benefits, such as occupational health care services, flexible work schedule, versatile research infrastructure, modern teaching facilities and a safe and inviting campus area as well as a personal fund to spend on sports and cultural activities in your free time.
Tampere is one of the major academic hubs in the Nordic countries and offers a dynamic living environment. Tampere region is one of Finland’s three most rapidly growing urban areas and home to a vibrant knowledge‑intensive entrepreneurial community. The city is an industrial powerhouse that enjoys a rich cultural scene and a reputation as a centre of Finland’s information society.
Tampereen yliopistossa on haettavana tutkijatohtorin tehtävä (Deep Learning for Machine and Robot Perception).
Tampereen yliopisto ja Tampereen ammattikorkeakoulu muodostavat yhdessä Suomen toiseksi suurimman monitieteisen, innostavan ja vaikuttavan tutkimus- ja oppimisyhteisön. Korkeakouluyhteisömme osaamiskärjet ovat tekniikka, terveys ja yhteiskunta. Lue lisää: www.tuni.fi