Stockholm University is inviting applications for a PhD student position in Bioinformatics, with a focus on machine learning for bioinformatics applications. The research will be conducted at the Department of Biochemistry and Biophysics, within the SciLifeLab national center, and specifically in 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 study complex biological processes, such as how DNA sequences influence genomic processes using advanced microscopy and sequencing data.

The ideal candidate will have a strong background in bioinformatics, computational biology, molecular biology, biotechnology, chemistry, computer science, mathematics, or physics. Applicants must have a master's degree or equivalent, with at least 90 undergraduate credits and 60 advanced credits (including a 30-credit independent project) in relevant fields. Experience with machine learning implementation is required, and additional experience with interpretable ML or generative AI is advantageous. The position offers the opportunity to join a vibrant, multidisciplinary research environment at SciLifeLab, collaborating with engineers, physicists, and mathematicians on cutting-edge data analysis and modeling for biological discovery.

The doctoral position is a full-time, fixed-term employment for up to four years, with annual renewal and a fixed salary. The role may include up to 20% teaching, research, or administrative duties. Stockholm University is committed to equal opportunities and a discrimination-free workplace. 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.