Open PhD position in bioinformatics / metabolic modeling
s part of the recently funded CRC1774, a PhD position (100% TV‑L E13, 3 years) in bioinformatics is available with the focus on metabolic modeling. The project focuses on enhancing genome-scale metabolic models with information from large-scale multi-omics datasets and magnet resonance-based metabolic imaging.
The successful candidate will develop and apply computational and statistical methods, work with genome-scale metabolic models, and collaborate closely with researchers from bioinformatics, basic science, and clinical medicine. The position offers the opportunity to contribute to cutting-edge translational research in cardio-diabetes based on comprehensively characterized clinical cohorts and state-of-the-art technologies.
Applicants should hold a Master’s degree in bioinformatics, computational biology, computer science, data science, or a related field and have experience in programming and data analysis, ideally in C/C++, Rust, Java, R, or Python. Experience with RNA-Seq, metagenomics, proteomics, metabolomics, or related data types is desirable, as is an interest in systems biology and constraint-based modeling. Excellent communication skills in English are essential.
The position is embedded in the integrated research training group (iRTG) of the CRC1774. A structured doctoral program provides lectures, workshops, methodology courses, interdisciplinary exchange opportunities, and close mentoring by internationally recognized scientists. Participation in scientific conferences and national and international collaborations is actively supported.
Application:
Please submit the following documents as a single PDF file:
- Letter of motivation (maximum one page)
- Resume in table format
- Complete transcripts, including the diploma certifying eligibility for university admission (Abitur or equivalent)
- Master’s thesis (or equivalent academic thesis) as a separate PDF file
- An Academic Letter of Recommendation
Applications are reviewed on an ongoing basis and considered as long as the position is available. During the selection interviews, applicants will have the opportunity to present their academic background and motivation in a 5‑minute presentation, meet the participating project leaders, and learn about the doctoral project and the training program of the iRTG.
Please submit your application electronically to the iRTG Office (crc1774.application (at) hhu.de). If you have any project-related or organizational questions, please feel free to contact Daniel Doerr (daniel.doerr (at) hhu.de).