Postdoctoral Research Fellow (Deep Learning for Machine and Robot Perception)

Tampere University; Finland; On-site; EUR 45,000 - 47,000; Full time

Benefits offered by this job

Occupational health care

Flexible work schedule

Versatile research infrastructure

Personal fund for sports and culture

Job summary

Tampere University invites applications for a Postdoctoral Research Fellow to advance deep learning methodologies for machine and robot perception. The role is tied to the Horizon Europe OPERA project and will be part of the Signal Analysis and Machine Intelligence group, collaborating with the Machine Intelligence group on Tampere University’s team.

The position is full-time from November 1, 2026 to September 30, 2030, located at Hervanta Campus, Tampere.

Qualifications

• Doctoral degree in computer science, computer engineering, or related field.
• Proven expertise in ML theory and methods and DL approaches.
• Excellent knowledge of Python and DL libraries (PyTorch or TensorFlow).
• Ability to pursue independent scholarly activity and lead systematic research in DL methods.
• Strong problem solving and critical thinking.
• Excellent English communication; ability to lead and collaborate in multidisciplinary teams.
• Ability to publish in high-quality peer-reviewed venues.

Responsibilities

• Propose and develop novel deep learning methodologies for perception tasks.
• Disseminate results in high-quality publications and conferences.
• Collaborate with project partners and integrate methodologies into the project toolbox.
• Contribute to project deliverables and coordinate with team and consortium.
• Potentially contribute to teaching tasks (5-10%).

Skills

Machine learning theory

Deep learning

Independent research

Critical thinking

English communication

Team collaboration

Academic writing

Education

PhD in computer science or related field

Tools

Python

PyTorch

TensorFlow

Job description

Organisation/Company Tampere University Research Field Computer science » Other Engineering » Other Researcher Profile Recognised Researcher (R2) Application Deadline 12 Oct 2026 - 20:59 (UTC) Country Finland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No

Offer Description

We are looking for a Postdoctoral Research Fellowto 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.

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 learning

Learning for increased robustness to variations and adaptation

Active sensor fusion for increased robustness and adaptivity

In addition, the duties of the postdoctoral researcher fellow may include some teaching tasks (5-10 %) in topics connected to their expertise.

REQUIREMENTS

• A completed doctoral degree in computer science, computer engineering, or another related field
• Proven expertise in Machine Learning theory and methods, and related Deep Learning approaches
• Excellent knowledge of programming in Python and scientific libraries used for Deep Learning (PyTorch or TensorFlow). Ability to work using multiple Deep Learning libraries
• Ability to pursue independent scholarly activity and lead systematic scientific research related to the design of Deep Learning methods and models
• A curious mind and solid skills in critical thinking and problem solving
• Very good communication skills in English, and ability to lead and collaborate in multidisciplinary teams
• Ability to write research papers in high-quality peer-reviewed journals or conferences in the field of Machine Learning and Computer Vision

WE OFFER

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. Please read more about working at Tampere University . You can also find more information about us and working and living Tampere by watching our video: Tampere Higher Education Community - our academic playground .

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.