Associate Researcher (Data Scientist)

The University of Gothenburg tackles society’s challenges with diverse knowledge. 37 000 students and 6 000 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract scientists and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.

The University of Gothenburg promotes equal opportunities, equality and diversity.

We are seeking a highly motivated Associate Researcher (Data Scientist) with a strong background in computational image analysis, particularly in multimodal imaging. Experience in machine learning is highly valued. You will support user-driven research projects and develop integrated data workflows spanning light microscopy (confocal, super-resolution, lightsheet), volume electron microscopy, and chemical imaging (nanoSIMS, MALDI-IMS).

You will join the Integrated Microscopy Technologies (IMT), part of the Cellular & Molecular Imaging Platform at SciLifeLab, which provides national access to advanced imaging, training, and technology development. The Gothenburg node (IMT-GU) brings together the Centre for Cellular Imaging  at the Sahlgrenska Academy and NanoSIMS Sweden  at the Faculty of Science and Technology, offering complementary expertise in microscopy, chemical imaging, and image analysis.

The position is based at IMT-GU, hosted by Core Facilities, University of Gothenburg . As part of the SciLifeLab Integrated Data Services (IDS) initiative, you will help build computational support for multimodal imaging and connect imaging technologies with data-driven life science.

The position does not include own research; all development work is linked to user needs and scientific questions.

Qualification requirements: 

• A university degree in computer science, physics, engineering, bioinformatics, or a related field (PhD degree is meritorious but not mandatory).
• Demonstrated expertise in image analysis, data science, or related computational research, with a strong track record in developing, applying, and supporting analytical methods.
• Experience with machine (deep) learning frameworks (e.g. PyTorch, TensorFlow).
• Excellent written and verbal English communication skills, required for daily interaction with an international user base.

Preferred qualifications: 

• Proven experience applying machine (deep) learning to imaging data.
• Strong programming skills, preferably in Python, and use of version control (Git/GitHub).
• Knowledge of open-source image analysis software (e.g. Fiji, Napari, scikit-image).
• Familiarity with high-performance computing or cloud environments.
• Experience with multimodal or correlative imaging data (light/electron microscopy & chemical imaging).
• Experience in teaching computational methods.
• Knowledge of data conversion and handling standard formats (OME-TIFF, OME-Zarr).
• Knowledge of workflow management systems for analysis pipelines.
• Familiarity with data stewardship and FAIR principles.

Personal abilities:

We are looking for a service-minded team player with a strong interest in enabling cutting-edge research through advanced image analysis. The candidate should be eager to expand their knowledge in new computational and imaging methods and thrive in a highly interdisciplinary environment. In a core facility, it is essential to manage multiple user projects and organize work within short timelines. The ideal candidate is enthusiastic and solution-oriented, combining technical expertise with strong communication skills and a genuine commitment to supporting other researchers. 

It is a permanent employment and a full time position. A probationary period may be applied. The employment is placed at Core Facilities, Sahlgrenska Akademin in Gothenburg, Sweden. 

For more information regarding the selection process go to: https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande#S%C3%A5-h%C3%A4r-g%C3%A5r-rekryteringsprocessen-till

If you have any questions about the position, please contact Rafael Camacho at rafael.camacho@gu.se

Applications should not be sent to the contact person.  

Union representatives at the University of Gothenburg can be found here: https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande  

To apply for a position at the University of Gothenburg, you have to create an account in our recruitment system. Submit your application via the University of Gothenburg’s recruitment portal by clicking the “Apply” button. It is your responsibility to ensure that the application is complete as per the vacancy notice, and that the University receives it by the final application deadline. 

Applications must be received by: 2025-11-24

The University works actively to achieve a working environment with equal conditions, and values the qualities that diversity brings to its operations.

Salaries are set individually at the University.

In accordance with the National Archives of Sweden’s regulations, the University must archive application documents for two years after the appointment is filled. If you request that your documents are returned, they will be returned to you once the two years have passed. Otherwise, they will be destroyed.

In connection to this recruitment, we have already decided which recruitment channels we should use. We therefore decline further contact with vendors, recruitment and staffing companies.