The Department of Stem Cell Biology at Universitätsklinikum Erlangen, led by Dr. Pooja Gupta, is recruiting for two exciting positions: a Postdoctoral Researcher and a PhD student. These roles are part of a BMFTR-funded project titled “AI-Driven Multi-Omics Integration for Predicting IBD-PD Comorbidity Progression,” focusing on the intersection of artificial intelligence, multi-omics data integration, and disease biology, with applications in Parkinson’s disease (PD) and inflammatory bowel disease (IBD).

Successful candidates will join a newly established, interdisciplinary research group in bioinformatics and computational biomedicine. The research involves developing and applying advanced AI models, such as graph neural networks and variational autoencoders, to analyze large-scale transcriptomic, proteomic, and metabolomic datasets. The aim is to construct molecular interaction networks, perform biomarker discovery, and conduct simulation-based perturbation analyses, all within a translational research environment that collaborates closely with clinicians and experimental scientists.

The postdoctoral position requires a PhD in a relevant field, strong machine learning and statistical modeling skills, experience with multi-omics data, and proficiency in Python/R and deep learning frameworks. The PhD position requires a Master’s degree in a quantitative field, programming skills, experience with high-throughput biological data, and strong English communication abilities. Both positions offer a highly interdisciplinary environment, access to state-of-the-art computational infrastructure, and opportunities for national and international collaboration.

Employment is for 36 months, with competitive salary and benefits according to the German public sector collective agreement (TV-L), including pension coverage and health promotion programs. The application deadline for both positions is March 31, 2026. Interested candidates should apply online via the provided links and may contact Dr. Pooja Gupta for further information.

Keywords: AI-driven multi-omics, bioinformatics, computational biomedicine, Parkinson’s disease, inflammatory bowel disease, biomarker discovery, machine learning, translational research, systems biology.