Postdoctoral Fellow in Bioinformatics

The Department of Biochemistry and Biophysics is one of the biggest departments at the Faculty of Science with about 300 employees including ~100 PhD students and is engaged in internationally highly recognized research. More information about us, please visit: The Department of Biochemistry and Biophysics .

The successful candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer science/physics/mathematics. Experience with ML implementation (ideally interpretable ML and/or generative AI) is required.

The Selected postdoc will be joining the Computational Microscopy for Cell Biology (CMCB) lab led by Dr. J. Griffié, which is primarily composed of engineers, physicists and mathematicians. The lab is based at SciLifeLab in Stockholm, a vibrant and dynamic science hub, with a particular focus in multidisciplinary research. The CMCB laboratory aims more specifically at developing cutting-edge data/image analysis as well as modelling strategies to answer fundamental biology issues with advanced light microscopy data. The lab’s research scope ranges from reinforcement learning for drug design, interpretable ML pipelines for cancer research and diagnosis as well as graph neural networks for microscopy.

The position involves taking an active part in CMCB lab’s daily research. The succesful postdoc will be expected to lead independently their research project as well as collaborate with members of the team on research projects that fit their qualifications and interests. Primarly, the selected candidate will design and implement novel ML/statistical approaches dedicated to biological applications with mostly image/omics data.

Postdoctoral positions are appointed primarily for purposes of research. Applicants are expected to hold a Swedish doctoral degree or an equivalent degree from another country.

The degree must have been completed at latest before the employment decision is made, but no more than three years before the closing date. An older degree may be acceptable under special circumstances. Special reasons refer to sick leave, parental leave, elected positions in trade unions, service in the total defense, or other similar circumstances as well as clinical attachment or service/assignments relevant to the subject area.

In the appointment process, special attention will be given to research skills and In the appointment process, special attention will be given to research skills in data analysis/ processing. Expertise in ML implementation, ideally interpretable ML and/or generative AI, is required. Application to bioinformatics is a plus.

The position involves full-time employment for a minimum of two years and a maximum of three years, with the possibility of extension under special circumstances. Start date as per agreement.

With us, you will experience the dynamic interaction between higher education and research that makes Stockholm University an exciting and creative environment. You will work in an international environment and get favourable conditions. The university is located in the National City Park with good transport links to the city.

Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.

Further information about the position can be obtained from Assistant Professor, Juliette Griffié, juliette.griffie@dbb.su.se .

Apply for the position at Stockholm University’s recruitment system. Attach a personal letter and CV as well as the attachments requested in the application form. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline.

The instructions for applicants are available at: How to apply for a position .

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