The Divsion of Radiology, part of the Department of Clinical Science, Intervention and Technology, conducts research in close collaboration between engineers and physicians. In this project, we analyze computed tomography (CT) scans originally performed for other purposes, so-called opportunistic screening in order to reduce the risk of future fractures. Our AI unit, SMAILE, is expanding, and we are now looking for a team member to solve a specific programming challenge: how can vertebral compression fractures be automatically detected using artificial intelligence?
We are currently seeking a research assistant for a fixed-term position of six months.
As a research assistant, you will work on the development of an advanced geometry-based method for classifying types of vertebral compression on computed tomography (CT) images. You are expected to develop a computational analysis pipeline in Python, write clear and maintainable code documentation, and produce a technical report with sufficient detail to ensure methodological reproducibility. Your work will also include summarizing and statistically evaluating the experimental results, visualizing the outcomes, and writing a scientific manuscript.
To be eligible for employment as a research assistant, you must hold at least a bachelor's degree in science, technology, engineering, or mathematics, preferably with current enrollment in a master’s program in medical engineering. You have prior experience in machine learning model development in Python at a minimum of course level, preferably at a research project or product development level. Proficiency in spoken and written English is required. Previous experience working on a similar project is considered an additional merit.
As a person, you are mature and confident, with the ability to take responsibility and work independently. You possess a high level of integrity and handle information and tasks with professionalism and sound judgment. You work in a structured and methodical manner, allowing you to stay organized even in complex projects with many components. You have strong analytical skills and a natural interest in solving problems and drawing well-founded conclusions based on available information. Great emphasis will be placed on personal suitability.
A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. Karolinska Institutet is also a state university, which entitles you to several good benefits through our collective agreement. And you get to practice freely in our modern wellness facilities, where trained staff are on site.
Location: Flemingsberg
Choose to work at KI – Ten reasons why
Welcome to apply at the latest June 17, 2025.
The application is to be submitted through the Varbi recruitment system.In this recruitment, you will apply with your CV without a personal letter. Instead, you will answer some questions about why you are applying for the job in the application form.
Permanent position is initiated by a six months trial period.
Type of employment | Special fixed-term employment |
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Contract type | Full time |
First day of employment | As soon as possible |
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Huddinge |
County | Stockholms län |
Country | Sweden |
Reference number | STÖD 2-2349/2025 |
Contact |
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Union representative |
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Published | 03.Jun.2025 |
Last application date | 17.Jun.2025 |