The gut microbiome plays a fundamental role in health and disease. CRC 1371 (Speaker Prof. Dr. Dirk Haller) focuses on the digestive tract and proposes an interdisciplinary approach to characterizing the functional relevance of microbiome signatures in the context of inflammation and cancer.
Within the INF01 subproject of CRC 1371, we assemble an interdisciplinary team with expertise in medical informatics and bioinformatics to build a central IT platform for the collection and processing of human and non-human clinical, para-clinical and experimental data produced in CRC 1371. In building this platform, you will join a huge collaborative effort to assemble the most comprehensive knowledgebase of the gut microbiome and you will have a chance to bring in your own ideas to unravel the role of the microbiome in health and disease.
We are looking for skilled PhD students and Postdocs to contribute in building a central IT platform for gut microbiome research. On the medical informatics side, we seek expertise to build up a medical data integration platform that enables harmonization and analysis of sensitive data while adhering to data protection requirements. On the bioinformatics side, we seek expertise to build and integrate pipelines for systematic analysis of heterogeneous experimental data ranging from 16S ribosomal RNA to complex metabolome profiles. Moreover, we seek expertise for developing and integrating state-of-the-art statistical and network analysis methods into the platform. These methods will facilitate knowledge extraction, biomarker discovery and hypothesis generation for the CRC.
Payment is according to the wage agreement of the civil service TV-L, 65% of E13 for PhD student positions and 100% of E13 for Postdoc positions for 4 years.
Candidates hold a Master degree (or equivalent) or PhD in computer science, medical informatics, bioinformatics, computational biology or biotechnology. They are open minded, active and have a good command of the English language (oral and written). The collaborative character of this project requires excellent team and communication skills as well as technical skills in software engineering and data analysis. Knowledge of Java and / or R is of advantage.
Contact persons:
Fabian Prasser
Institute of Medical Informatics, Statistics and Epidemiology, TUM
Ilias Lagkouvardos
ZIEL Institute for Food and Health, TUM
Jan Baumbach
Chair of Experimental Bioinformatics, TUM
Markus List
Chair of Experimental Bioinformatics, TUM
Application
Applicants are asked to send one pdf file to the contact persons listed above. The file includes
cover letter,
curriculum vitae,
copies of academic degrees and transcripts of records,
preferences of projects (optional),
contact information for at least one letter of recommendation,
list of publications with link for downloading (Do not include your publications in the pdf file).
As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from women as well as from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. Preference will be given to disabled candidates with essentially the same qualifications.
Please note:
With submission of your application, you accept the processing of your applicant data in terms of data-protection law.