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

Tampereen yliopisto

Pirkanmaa

On-site

EUR 45,000 - 47,000

Full time

5 days ago

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Benefits offered by this job

Occupational health care

Flexible schedule

Modern facilities

Sports and culture fund

Job summary

Tampere University seeks a Postdoctoral Research Fellow to advance deep learning methods for machine and robot perception for the OPERA Horizon Europe project. You will join the Signal Analysis and Machine Intelligence group at Hervanta Campus, collaborating with colleagues across the university.

The role runs from 1 November 2026 to 30 September 2030, with a typical starting salary of 4000–4200 EUR/month. The position offers a supportive research environment, teaching contributions (5–10%), and

Qualifications

PhD in computer science, computer engineering, or related field.
Proven expertise in ML theory and DL approaches.
Strong Python programming and DL libraries (PyTorch or TensorFlow).
Ability to pursue independent scholarly activity and lead research.

Responsibilities

Develop novel deep learning methodologies for machine and robot perception.
Publish results in high-quality conferences and journals.
Interact with project partners and contribute to toolbox development.
Deliver project outputs and participate in regular project meetings and teaching tasks (5–10%).

Skills

Machine Learning theory

Deep Learning methods

Python programming

PyTorch

TensorFlow

Independent research

Critical thinking

English communication

Collaborative work

Education

PhD in Computer Science / Computer Engineering

Tools

Python

PyTorch

TensorFlow

Job description

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.

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.