Postdoctoral Researcher in Medical Image Analysis

We are now looking for a

Postdoctoral Researcher in Medical Image Analysis 

to join us in the Center for Machine Vision and Signal Analysis (CMVS) at the Faculty of Information Technology and Electrical Engineering (ITEE) to work on the research project “Towards reading retinal fundus images for real-world clinical applications” led by Academy Research Fellow Qing Liu.

CMVS is a creative, open and internationally attractive research center, combining the expertise of University of Oulu computer vision and biosignal analysis scientists. We have achieved ground-breaking research results in many areas of its activity, including texture analysis, facial image analysis, 3D computer vision, energy-efficient architectures for embedded systems, and biomedical engineering. 

About the job

This position is be part of the Academy Research Fellow project "Towards reading retinal fundus images for real-world clinical applications". As a postdoctoral researcher, you will work in the field of medical image analysis and machine learning, carrying out also the following tasks:

1. Collect and process multimodal data with group members;
2. Implement and develop different multimodal multi-agent methods for eye healthcare.

What we offer

• The support of an experienced and enthusiastic team, where you can share your expertise and grow as an expert.
• Wellness benefit ePassi covering sport, culture, and well-being. Read more about other staff benefits here.
• Our Buddy Programme and Spouse Network support you and your close ones in settling into Oulu.
• Development and career options of the big organization.
• We have an HR Excellence in Research -quality label, which is a recognition awarded by the European Commission for the development of researchers’ working conditions and careers. 
• Work that matters and a workplace that promotes flexibility and work-life balance. Read more about working with us.
• Finland is one of the most livable countries in the world, with a high quality of life, safety, an excellent education system, and a competitive economy. Read more about living in Oulu.

Who are you?

We require from you:

• Doctoral degree in computer science, electrical engineering, biomedical engineering, mechanical engineering, or a related area. The doctoral degree must have been completed by the application closing date. The degree must have been obtained within the past 10 years.
• Ability for independent scientific work
• Fluent in written and spoken English

In addition, we consider it an advantage for you to demonstrate previous experience and publications on computer vision, medical image analysis, machine learning algorithm design, or a related area.

Salary

The position is fixed-term until 31.08.2027, starting as soon as possible.

The salary will be based on the levels 5-6 of the demand level chart for teaching and research staff of Finnish universities. In addition, a salary component based on personal performance will be paid (up to 50% of the job-specific component). The starting gross salary will be approximately. 3700-4300 € per month (before taxes).  

A 6-month trial period applies to the position.

How to apply?

Interested? If yes, please apply by 20.2.2026 (23:59 Finnish local time) through our recruitment system.

The application should be written in English and include the following:

1. CV, following the guidelines of the Finnish Advisory Board on Research Integrity 
2. Cover letter
3. List of publications, following the guidelines of the Academy of Finland 
4. Certificates/Diplomas
5. Contact information of 2 persons available for recommendation
6. Research plan

Eligible applicants who best fit the profile expected for the position will be invited to an on-site or remote interview. All applicants will be notified during the selection process.

We welcome applicants from all backgrounds, including people of different ages, genders, and members of different linguistic, cultural, or minority groups. 

Contact Information

If you have any further questions, please contact Academy Research Fellow, Qing Liu, ITEE, CMVS, qing.liu@oulu.fi