Research engineer with expertise in image processing and visualization (PA2026/919)

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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 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

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 and visualization 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 governmental authority, which means you get special benefits, generous holidays and a favourable occupational pension. We also have a flexible time agreement that creates good conditions for a balance between work and leisure.

Read more on the university’s website about being employed at Lund University, Work with us .

Work duties and responsibilities

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.

Qualifications

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

Requirements for the position are:

• PhD or equivalent experience is required in a field relevant to the position - for example, within the natural sciences or engineering.
• 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.
• High motivation, ability to quickly learn new techniques, and strong time management skills.
• Strong collaboration and communication skills.

Meritorious for the position are:

• 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.

Terms

We are seeking a research engineer for a special fixed-term position of 2 months at 50% employment. The desired start date is as soon as possible or as agreed. 

How to apply

Apply through the university’s recruitment system. The application should include: A cover letter explaining your motivation and how the position aligns with your qualifications, a CV. Degree certificates or equivalent. Contact details for at least two references. Any other supporting documents (e.g., reference letters).

More about the Faculty of Medicine

Type of employment
Special fixed-term employment

Contract type
Part-time

First day of employment
As soon as possible or as agreed

Salary
Monthly

Number of positions
1

Full-time equivalent
50

City
Lund

County
Skåne län

Country
Sweden

Reference number
PA2026/919

Contact

• Kajsa M Paulsson, +46462224167, kajsa_m.paulssonmed.lu.se
• Tyra Lundquister, +46462220000, tyra.lundquistermed.lu.se

Union representative

• OFR/ST:Fackförbundet ST:s kansli, 046-2229362, stst.lu.se
• SACO:Saco-s-rådet vid Lunds universitet, kanslisaco-s.lu.se, kanslisaco-s.lu.se
• SEKO: Seko Civil, 046-2229366, sekocivilseko.lu.se

Published
17.Mar.2026

Last application date
31.Mar.2026

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