University Medical Center Schleswig-Holstein (UKSH)

Doctoral or postdoctoral position: “Microbiome modelling in inflammatory diseases”

University Medical Center Schleswig-Holstein

Schleswig-Holstein, Germany

Doctoral or postdoctoral position:
“Microbiome modelling in inflammatory diseases”

Research Group Medical Systems Biology, Institute of Experimental Medicine

The University Medical Center Schleswig-Holstein is one of the largest university hospitals in Europe with more than 80 clinics and institutes. It offers outstanding medical treatment and excellence in research andeducation with nearly 14,500 employees, 2,600 patient beds and more than 100,000 hospitalized patients,240,000 outpatient cases and in excess of 3,000 births a year. We provide top research at the interface ofmedicine, science and technology.

Your role:
As part of the newly established DFG research group “miTarget – The microbiome as a therapeutic target in inflammatory bowel diseases”, the Research Group Medical Systems Biology at the Institute of Experimental Medicine (University of Kiel and University Medical Center Schleswig-Holstein) focuses on the hypothesis-driven analysis of high-throughput experimental data sets to elucidate the role of the microbiome in the pathogenesis and treatment of inflammatory diseases.
We are now looking to strengthen our team as soon as possible. As part of a highly interdisciplinary research group, you will be responsible for the integrative analysis of large-scale experimental data sets (microbiome, transcriptomics, metabolomics, proteomics, genomics) from patients and animal model systems. The aim of your research will be to use constraint-based modelling approaches to identify potential metabolic pathways through which the microbiome contributes to the pathology of inflammatorybowel diseases. The long-term goal is to identify potential microbiome-centred treatment strategies that increase the efficacy of current antibody-based therapies of inflammatory bowel diseases. In close interaction with partners of miTarget, hypotheses derived from modelling can be validated in an experimental or clinical context.

Your profile:
You are a motivated PhD or postdoctoral candidate with education in bioinformatics, systems biology, molecular biology or a related field, with excellent programming skills (R, Perl, Python, C/C++ or Java) andLinux knowledge. Additionally, you have gained experience in constraint-based metabolic modelling, in theanalysis of next generation sequencing and metabolomics data. As you will join an international researchgroup, strong (English) communication skills are required.

We offer:
This is a fixed-term position until 31 March 2023, which can be extended by another four years upon successful re-evaluation of miTarget. Weekly working time is 100% of a full-time position, currently 38.5 hours a week; working part-time is possible. Salary will be, depending on qualifications, according to the German salary scale 13 TV-L (100%).

Kiel University and the UKSH offer an excellent research environment at the shores of the Baltic Sea. The UKSH has been certified as a family-friendly institution and is committed to further improving the compatibility of work and family life. The University supports the employment of disabled persons. Personswith disabilities will, with appropriate qualifications and aptitudes, be employed preferentially. The UKSH has set the goal to reach professional equality between all genders.

Additional information:
For more details on the position, please contact Prof. Dr. Christoph Kaleta, Institute of Experimental Medicine, Kiel University/University Hospital Schleswig-Holstein (phone: +49-451 500-30340, email: Questions on administrative/salary aspects can be addressed to Holger Hoffmann (phone: +49-431 500-11191). More information on the University Medical Center Schleswig-Holstein and the research group can be obtained online at and

We look forward to your online application. Please submit your application until 3rd Mai 2020, indicating the reference number 20200109, via our online portal:

Universitätsklinikum Schleswig-Holstein
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Quote Reference: 20200109