Stockholm University is offering a PhD student position in Bioinformatics, with a focus on machine learning applications for complex biological processes. The research will be conducted at the Department of Biochemistry and Biophysics, within the SciLifeLab national center, and is part of the Computational Microscopy for Cell Biology (CMCB) lab led by Dr. Juliette Griffié. The project centers on developing interpretable machine learning and generative AI strategies to analyze advanced microscopy and DNA sequencing data, aiming to characterize genomic processes and address analytical challenges in molecular biosciences.

The ideal candidate will have a strong background in chemistry, molecular biology, biotechnology, computer science, mathematics, or physics, and must demonstrate experience in machine learning implementation. The research environment is highly international and multidisciplinary, with opportunities to collaborate across engineering, physics, and mathematics. The lab's research scope includes reinforcement learning for drug design, interpretable ML pipelines for cancer research and diagnostics, and graph neural networks for microscopy data analysis.

Eligibility requires a master's degree or equivalent, with at least 240 ECTS credits (including 60 at advanced level), and a minimum of 90 ECTS credits in relevant fields. Applicants must also have completed an independent project of at least 30 ECTS and possess strong analytical, creative, and collaborative skills. Proficiency in English and/or Swedish is required. Selection is based on academic merit, relevance of previous studies, references, and interviews.

The position is a full-time, fixed-term doctoral employment for up to four years, with annual renewal and salary according to university regulations. The application deadline is 22 February 2026. For more information, contact Dr. Juliette Griffié or Professor Andreas Barth. Apply via the Stockholm University recruitment system, ensuring all required documents are submitted before the deadline.