David B. Blumenthal

Postdoctoral Researcher in Computational Epigenetics at the Biomedical Network Science Lab, Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). This postdoctoral opening focuses on computational epigenetics , specifically developing methods to infer upstream regulators of DNA methylation from matched gene expression and DNA methylation data. The project combines machine learning , network-based modeling , and classical bioinformatics pipelines, with a strong emphasis on creative, independent method development and reproducible computational biology. The successful candidate will work in a computational lab with ongoing collaborations with wet-lab scientists. The role is ideal for applicants with a strong background in bioinformatics, ML, computer science, applied mathematics, or related quantitative fields, and a strong interest in epigenetics and omics data analysis. Eligibility highlights: completed or nearly completed PhD in bioinformatics, machine learning, computer science, or a related field; Master's degree in computer science, bioinformatics, applied mathematics, or a related field; evidence of strong research output in leading life sciences and/or ML venues; willingness to collaborate across computational and experimental teams. Funding and terms: full-time paid position at TV-L E 13, temporary until 31.12.2028, with salary progression under the public service agreement and an additional annual bonus. Benefits include 30 days annual leave, pension scheme, and savings scheme. Application deadline: 31.12.2026. Work location: Erlangen, Germany. How to apply: submit the online application through the FAU portal and include a tailored cover letter, links/PDFs of your two best publications, a CV with referees, and degree transcripts/certificates.