Faculty of Medicine, Health Sciences and Technology

The University of Oulu is one of the biggest and most multidisciplinary universities in Finland. We create new knowledge and innovations that help to solve global challenges. We offer you an international and inspiring working environment where you are given responsibility and can use your skills, develop yourself and do work that matters. Our flexible and family-friendly workplace makes it easy for you to balance work and leisure. The University of Oulu is ranked in the top 3% of the world´s universities.

We are now looking for

Doctoral Researcher

to join the Intelligent Medical Systems Research Group (IMEDS) at the Research Unit of Health Sciences and Technology, Faculty of Medicine. 

The IMEDS group is led by Assistant Professor Aleksei Tiulpin and is rapidly growing. We are a multinational diverse team of engineers and computer scientists physically located at the Oulu University Hospital, and we have close collaborations with clinicians. In our projects, we develop new methods to advance medicine with machine learning. 

The recruited researcher will also be co-advised by the clinical collaborators from radiology and cardiology: Dr. Mika Nevalainen, MD PhD and Dr. Jani Tikkanen, MD PhD. The recruited researcher will have the opportunity to collaborate with colleagues from Stanford School of Medicine, United States, and KU Leuven, Belgium.

About the job

Our group is looking for highly motivated talented individual to conduct cutting edge research in the realm of opportunistic CT and machine learning, with a special focus on Deep Learning. Your goal will be to build methods that can analyze CT imaging data to predict longitudinal cardiovascular disease outcomes. 

You will be expected to carry out the following tasks:

  • Complete a 4-year doctoral degree.
  • Study theoretical advances in linear algebra, calculus, probability, and statistics, and apply them in the development of new machine learning methods.
  • Create software packages with computationally-efficient implementations of the developed methods.
  • Publish results in the top-tier venues.
  • Analyze large scale real world clinical data and aim to translate methodological advances to clinical practice. 
  • Contribute to the general activities of the research group, such as teaching.

What we offer?

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

Who are you?

To succeed and enjoy the position, we expect from you to have the following qualifications:

  • Master's degree in the field of Mathematics, Physics or Computer Science 
  • Desire to make impact in medicine and health through machine learning.
  • Ability to think out-of-the-box.
  • Genuine curiosity and passion towards research.
  • Responsibility and can-do attitude.
  • Excellent programming skills in Python and Scientific Python Stack.
  • Excellent mathematical skills: knowledge of Algebra, Statistics and Probability is required for the position. 
  • Excellent scientific writing and communication skills (English language) 

See also the requirements of the University of Oulu Graduate School (UniOGS).

We also appreciate:

  • Contributions to Open Source
  • Own projects
  • Kaggle competitions
  • Participation in ACM ICPC
  • Prior practical experience with Deep Learning
  • Publications in recognized venues (first or second author) 


The position is fixed-term for 4 years as of 01.05.2024 or as soon as possible thereafter.

The salary will be based on the levels 2-4 of the demand level chart for teaching and research staff of Finnish universities. In addition, a salary component based on personal work performance will be paid (maximum of 50 % of the job-specific component). Starting gross salary will be approx. 2300-2600 € per month (before taxes).  A trial period of 6 months is applied in the position.

How to apply?

Interested? If yes, please apply by 18.2.2024 (23:59 Finnish local time) through our recruitment system.

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

  1. Cover letter (1 page)
  2. 3 page CV following the guidelines of the Finnish Advisory Board on Research Integrity, combined with a publication list.
  3. Certificates/Diplomas
  4. Contact information of two persons available for recommendation

The eligible applicants fitting best in 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, such as people of different ages, genders and lingual, cultural or minority groups. 

Contact Information

If you have any further questions, please contact

Aleksei Tiulpin, PhD
Assistant Professor (tenure track)
Research Unit of Health Sciences and Technology
Faculty of Medicine, University of Oulu
Email: aleksei.tiulpin@oulu.fi 


Type of employment Temporary position
Contract type Full time
First day of employment 01.05.2024
Number of positions 1
Full-time equivalent 100 %
City Oulu
County Pohjois-Pohjanmaa
Country Finland
Reference number 2024/36
Published 23.Jan.2024
Last application date 18.Feb.2024

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