Within the framework of our running projects we are permanently looking for talented and motivated

PhD Students and Postdoctoral Fellows


1. Personalized motivation letter including the specialization of interest

2. A complete CV (including photograph and date of birth)

3. Certificates and grades of University educations and potential jobs/interns

4. Names and contact details of at least three (PhD-students) or two (Master students) referees (former professor/advisor/mentor)

1.) PhD student – Systems Medicine or (Bio-)Chemistry (f/m/d)

Within the framework of a collaboration with internal partners from the University Hospital of Tübingen and the magnetic resonance company Bruker BioSpin GmbH, we are seeking for a highly motivated PhD student with profound knowledge in biology and chemistry especially for the analysis of small molecules (metabolites) by high-field NMR spectroscopy and chemometrics. The candidate will perform standardized metabolomics SOPs for human urine, blood, cerebrospinal fluid and feces as well as translate part of these SOPs to murine samples and expand the method portfolio to other sample types such as tissue and human fibroblasts.

Further Information


2.) PhD student - Biomedical Imaging or (Bio-) Chemistry (f/m/d)

The main roles of this post are to study the function of the microenvironment in current cancer therapies, identify relevant metabolic biomarkers in cancer (and neurology), develop and validate new PET/MRI sensors and collaborate closely with researchers from other lead centers towards delivering the goals of the partnerships.

The successful candidate will be expected to have at least one of the following skills: in vivo animal imaging, biophysical analysis or/and wet-lab biochemistry skills. Experience working with cell cultures, small animals and human samples is desirable.

Further information


3.) PhD student - Image analysis and algorithm development (f/m/d)

The Werner Siemens Imaging Center is looking for an enthusiastic and highly motivated PhD student for image analysis and algorithm development and the automatic analysis of histopathological data. The objective is the development of algorithms to analyze histopathological images, in particular to quantify heterogeneity and detect distinct regions within the tumor. The offered position is part of an International Training Network (ITN) funded by the European Union´s Horizon 2020 Innovation program.

Further Information



We permanently have running projects and are looking forward for applications of highly motivated and enthusiastic students willing to perform their Bachelor or Master Thesis or their Internship in our lab.

Applicants are invited to send their applications including CV, motivation and research interest to:

Dr. Carsten Calaminus