PhD Position in AI for Molecular Engineering Using Live-Cell Imaging Data

We are offering a full-time PhD position in molecular engineering, focused on developing AI-driven methods using live-cell imaging data. The position is based at the Department of Computer Science and Engineering at Chalmers University of Technology in Gothenburg, Sweden.

The student will join the NEST project Time-Resolved Imaging and Multi-Channel Evaluation of Cellular Dynamics (TIMED) — a 5-year collaboration between Chalmers, Uppsala University, and Karolinska Institute — funded by the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP).

About us

Gothenburg, Sweden’s second-largest city, is consistently ranked among the world’s most sustainable and livable.

Part of the Data Science and AI division, the group advances generative models, molecular simulations, and design pipelines for data-driven science. Our interdisciplinary team values rigor, openness, and impactful research. The project is part of the DDLS and WASP initiatives, which aim to make Sweden a leader in computational life sciences and AI.

It's vision is excellent research and competence for the benefit of Swedish society and industry.

We seek candidates with the following qualifications:

• A master's level degree in computer science, computational chemistry or a relevant field. Equivalent requirements apply to individuals with an education earned outside of Sweden, for example a 4-year bachelor's degree is accepted.
• Strong written and verbal communication skills in English
• Solid knowledge of Python and libraries like PyTorch, Monai, and/or RDKit

The following experience will strengthen your application:

• Knowledge in deep generative models, AI/ML, microscopy, and/or molecular design
• Documented track record of research in the area of the project

• Design and implement deep learning (DL) workflows for learning from large-scale imaging and molecular data
• Develop ML models to investigate cellular responses, particularly in cancer cell lines
• Develop DL models for molecular design based on time-resolved microscopy data
• Collaborate with other computational researchers to build better models
• Collaborate with experimental researchers to validate predictions
• Present findings at scientific meetings and in peer-reviewed ML conferences

The position includes significant opportunities for collaboration within the TIMED NEST environment.

You will also:

• Take courses at an advanced level within the graduate school of Computer Science and Engineering
• Develop your own scientific concepts and communicate the results of your research verbally and in writing

• The PhD position is fully funded from start
• As a PhD student at Chalmers, you are an employee and enjoy all employee benefits. Read more about working at Chalmers and our benefits for employees
• The position is limited to four years, with the possibility to teach up to 20%, which extends the position to five years.
• A dynamic and inspiring working environment in the coastal city of Gothenburg
• A starting salary of 34,550 SEK per month (valid from May 25, 2025)

To apply, please click here to go to Chalmer's vacancy page.

Application deadline: July 21, 2025

Interviews will be conducted between August 4-15, 2025

For questions, please contact:

rocio.mercado@chalmers.se

Co-supervising team: Professor Ola Spjuth (ola.spjuth@uu.se), Group Leader Brinton Seashore-Ludlow (b.seashoreludlow@scilifelab.se), Assistant Professor Prashant Singh (prashant.singh@it.uu.se), Associate Professor Ashkan Panahi (ashkan.panahi@chalmers.se)

We look forward to your application!

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***