Juliette Griffié

PhD student in Bioinformatics at Stockholm University , Department of Biochemistry and Biophysics, within the Computational Microscopy for Cell Biology (CMCB) laboratory led by Assistant Professor Juliette Griffié . The project, titled AI for Multimodal Biology and Microscopy , focuses on developing next-generation generative AI and representation learning methods for integrating and interpreting complex biological datasets, with a strong emphasis on microscopy . The work sits at the intersection of artificial intelligence , computational biology , bioinformatics , and computer vision , and aims to uncover biological mechanisms from large-scale multimodal and heterogeneous data. Applicants should have a strong quantitative background and an MSc in computer science, physics, mathematics, engineering, bioinformatics, or a related field. The ad highlights experience in machine learning and deep learning , ideally in computer vision, plus scientific programming experience (for example a GitHub repository or published/submitted papers). Experience with generative AI or interpretable machine learning is highly desirable, and a genuine interest in biology and interdisciplinary research is essential. The position is hosted at the Department of Biochemistry and Biophysics at Stockholm University and connected to SciLifeLab , a national center for molecular biosciences. The lab’s current directions include interpretable AI pipelines for cancer and autoimmunity, as well as generative and graph neural network approaches for biological imaging. This is a fixed-term salaried doctoral employment for up to four years full-time. The employment may include limited teaching, research, and administration duties. The post is based in Stockholm, Sweden . Application deadline: 2026-11-03. Apply via Stockholm University’s recruitment system and upload a personal letter, CV, and the requested attachments.