HiWi/Master's Thesis in Multimodal AI for Antifibrotic Drug Discovery

09.09.2026, Student assistants, internships, student research projects

Develop AI methods to design novel therapeutics

You'll work closely with me, an AI methods expert, and a drug discovery scientist to facilitate the interdisciplinary nature of this project.

## Your profile - strong coding experience (python, torch) - experience in implemeting AI methods (e.g. reproducing state-of-the-art methods) - experience analyzing real-world data (bulk RNA-seq or comparably messy high-dimensional biological data). - comfortable in a collaborative, fast-moving scientific environment.

## We offer - an opportunity to publish, - a close, hands-on supervision, - embedding in the Helmholtz Munich research environment.

## Details - Duration: at least 6 months.

Possible projects will range from analyzing a proprietary dataset of paired small-molecule perturbations, each with a bulk transcriptomic profile matched to an ECM-deposition phenotype read out by high-content imaging; toxicity or mode of action prediction; to developing multimodal transformers and novel reasoning appraches for de novo design of novel antifibrotics.

## How to apply

Send the following by 31.09.2026 (applications will be evaluated on a rolling basis): 1. CV (max 1 page) 2. Short motivation on why you want to work with us and possibly what would be your ideal project (max 5 sentences)

Kontakt: adam.izdebski@helmholtz-munich.de