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Juliette Griffié

4 days ago

PhD in Bioinformatics and AI for Multimodal Biology and Microscopy Stockholm University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Fixed-term doctoral employment for up to four years full-time. The post is a salaried PhD position; no tuition details are stated. Employment is initially for up to one year and then renewed for up to two years at a time.

Deadline

Nov 3, 2026

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Country

Sweden

University

Stockholm University

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Keywords

Computer Science
Biomedical Engineering
Deep Learning
Biology
Artificial Intelligence
Microscopy
Computational Biology
Computer Vision
Bioinformatic
ML

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About this position

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.

Funding details

Fixed-term doctoral employment for up to four years full-time. The post is a salaried PhD position; no tuition details are stated. Employment is initially for up to one year and then renewed for up to two years at a time.

What's required

Applicants must have a strong quantitative background and an MSc degree in computer science, physics, mathematics, engineering, bioinformatics, or a related discipline. Required experience includes machine learning, especially deep learning, ideally in computer vision, plus proven scientific programming experience such as a GitHub repository or published/submitted scientific papers. Experience with generative AI or interpretable machine learning is highly desirable. Candidates must also have a genuine interest in biology and interdisciplinary research. General and specific entry requirements for doctoral education apply, including a second-cycle degree or equivalent, and at least 90 credits in relevant fields plus 60 second-cycle credits in life science, computer science, mathematics, physics or bioinformatics including a 30-credit thesis.

How to apply

Apply through Stockholm University's recruitment system. Attach a personal letter, CV, and all documents requested in the application form. Submit the complete application before the deadline.

More information can be found here

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