Lund University, Department of experimental medical science

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 46 000 students and 8 500 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Description of the workplace

InfraVis is Sweden’s national infrastructure for visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund University’s local infrastructure for image processing and analysis. CIPA is also the coordinating unit for Lund University's InfraVis node, consisting of around 10 people with complementary expertise. InfraVis and CIPA provide all employees with professional development opportunities and strive to meet each individual’s development and well-being goals as much as possible. As a research engineer with expertise in the field of image processing, visualization and development of user-friendly Graphical User Interfaces (GUI:s) within InfraVis/CIPA, you will have access to both local and national colleagues for stimulating exchanges, discussions, and joint efforts to solve complex challenges, develop new methods, and support research in a wide range of scientific domains nationwide through visualization expertise.

We offer

Lund University is a government agency, which means you receive special benefits, generous vacation, and a favourable occupational pension. We also have a flexible working hours agreement that provides good conditions for work-life balance. Read more on the university’s website about being an employee at Lund University, Work at Lund University | Lund University.

Work duties and areas of responsibility

The primary task is to contribute as an expert in various research projects supported by CIPA/InfraVis. Regular and active participation in joint activities, including meetings, is required to promote knowledge transfer and infrastructure development. The position includes opportunities for career and skill development. 

The work will focus on image processing and visualization of images or volumes, and may involve the following areas:

  • Image processing and image analysis of tomographic data, e.g., synchrotron X-ray microtomography or lab-based X-ray microtomography.
  • Development of scientific visualizations.
  • Development of user-friendly Graphical User Interfaces (GUI:s) capable of performing image processing, image analysis and visualization.

Qualifications

We seek an experienced and driven individual who collaborates well and thrives in a complex research environment.

Requirements for the position include:

  • Ph.D. or equivalent experience in a relevant subject.
  • Excellent oral and written English skills.
  • Experience in image processing and image analysis of images or volumes, e.g., in ImageJ, or Python.
  • Experience in visualization software, e.g., Blender, DragonFly.
  • Knowledgeable in programming, e.g., Python.
  • Experience in developing user-friendly Graphical User Interfaces (GUI:s)
  • High motivation, ability to quickly learn new techniques, and strong time management skills.
  • Strong collaboration and communication skills.

Meritorious for the position:

  • Proven ability to collaborate with researchers from different disciplines.

Consideration will also be given to how the applicant's experience and expertise complement and strengthen the ongoing activities within the infrastructure and how they can contribute to its future development.

Further information

The position is a temporary position for 2.5 months at 50%. The desired start date is as soon as possible or by agreement. 

How to apply 

The position is applied for via the university’s recruitment system. The application should include a cover letter explaining why you are interested in the position and how your qualifications match the requirements. The application should also include a CV, degree certificate or equivalent, and any other documents you wish to refer to (copies of grades, references, letters of recommendation, etc.).

More information regarding the Faculty of Medicine 

Type of employment Special fixed-term employment
Contract type Part-time
First day of employment Så snart som möjligt eller enligt överenskommelse
Salary Månadslön
Number of positions 1
Full-time equivalent 50
City Lund
County Skåne län
Country Sweden
Reference number PA2026/1934
Contact
  • Kajsa M Paulsson, Forskargruppschef, +46462224167, kajsa_m.paulsson@med.lu.se
  • Tyra Lundquister, HR-partner, +46462220000, tyra.lundquister@med.lu.se
Union representative
  • SEKO: Seko Civil, 046-2229366, sekocivil@seko.lu.se
  • OFR/ST:Fackförbundet ST:s kansli, 046-2229362, st@st.lu.se
  • SACO:Saco-s-rådet vid Lunds universitet, 046-2220000, kansli@saco-s.lu.se
Published 08.Jun.2026
Last application date 22.Jun.2026

Return to job vacancies