Researcher position in AI‑based Metrology for Medical Imaging

Department of Computer and Electrical Engineering

At the department, education is conducted in the subjects of computer engineering, electronics, electrical engineering and sound production. The research at the department takes place at the research center Sensible Things that Communicate (www.miun.se/stc) and deals with sensor-based systems and services for use within the Internet of Things and artificial intelligence.

Job description    
We offer a researcher position in AI-based metrology for medical imagining. The focus will be on developing traceable and reliable methods for quantitative spectral CT imaging and personalised dose assessment in clinical practice. The research is carried out in close collaboration with international partners in both industry and academia. Work is of experimental and theoretical nature and includes data preparation, development and verification of models and generalization of solutions.

 

Your background
For this position, you are required to have a PhD in electronics, metrology, computer engineering or a related field and have previous academic experience in machine learning. The candidate should have a strong background in metrology and medical image processing.

Active participation and collaboration within the research group is necessary. It is therefore important that you are a responsible person with a holistic view, that you can communicate freely both orally and in writing in English and that you are structured in your way of working.

 

Personal qualities
That you can independently plan and carry out research in the field of the position and that you are responsible and open to learning new things. It is also important that you function in the group, open to collaboration with external parties and can contribute your knowledge to others.

It is important that you can communicate freely both orally and in writing in English.

 

Terms of employment 
Permanent employment consisting of 20 per cent of full-time employment, starting on 01-05-2026 or as agreed.

 

Place of employment: Sundsvall 

 

Information
For more detailed information contact the Head of department, Patrik Österberg, patrik.osterberg@miun.se, +46 (0)10 142 84 98, or Universitetslektor Irida Shallari, irida.shallari@miun.se, +46 (0)10-1428350.

 

Application
Application documents must be submitted in Swedish or English. 

Must contain a CV, copies of grades and diplomas, thesis, a personal letter describing the machine learning research area you want to focus on including your visions and goals for this area, as well as other documents (for example, project work) that you wish to refer to.

 

Please send in your application through recruitment system by no later than 15th of April. 

 

Mid Sweden University has two campuses; in Sundsvall and in Östersund, both located close to students, colleagues and the surrounding society. At the same time, it is located conveniently close to the sea, forests and mountains, which provides a great quality of life. Here, new knowledge is created by means of internationally successful research and education that contribute to the development of our society. This way, we actively contribute to a sustainable future and a better world. Mid Sweden University works actively for equal opportunities and strives to embrace the qualities that diversity and equality bring to the organization. Prior to any recruitment work, Mid Sweden University has taken a position on consulting support, recruitment channels and marketing. We therefore kindly ask media vendors, recruitment sites and the like not to contact us.

  • Contract type

    Part-time

  • First day of employment

    01-05-2026 or as agreed

  • Salary

    Individual

  • Number of positions

    1

  • Working hours

    20%

  • City

    Sundsvall

  • County

    Västernorrlands län

  • Country

    Sweden

  • Reference number

    MIUN 2026/572

  • Union representative
    • Per Bergman, Fackförbundet ST, 010-1428371
    • Börje Norlin, Saco, 010-1428594
  • Published

    2026-03-19

  • Last application date

    2026-04-15

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The page was updated 3/19/2026