The Research Training Group / Graduiertenkolleg GRK 2274 is a joint initiative of the Physics and Medical Faculties of the Ludwig-Maximilians-Universität München (LMU) and the Technische Universität München (TUM) as well as the Helmholtzzentrum München (HMGU). (Speaker: Prof. Dr. Katia Parodi/ LMU, Vice Speaker: Prof. Dr. Franz Pfeiffer/ TUM).
Mission and research programme
Cancer is a major societal challenge, where the combination of novel imaging and computational techniques with advanced therapeutic strategies is key to early diagnosis, exact tumour characterization and successful treatment. The goal GRK2274 is to promote young scientists from natural sciences and medicine in this rapidly growing field of medical physics. GRK2274 covers basic, translational and clinical research, building upon a long tradition of excellence in biomedical research in Munich from the two universities (LMU, TUM) and the research center HMGU. The multi- and interdisciplinary research programme will touch upon innovative areas of computing (research area A), imaging (research area B) and therapy (research area C), addressed in synergistic Ph.D. and M.D. projects with the common goal to advance image-guided cancer therapy. The original qualification concept features a broad spectrum of compulsory and eligible training activities, to ensure not only academic excellence and scientific independence, but also the development of fundamental personal effectiveness.
For information about the GRK 2274 including the project topics, please see www.grk2274.de
Online applications for doctoral positions are now being accepted until August 6, 2017. We will make every effort to expedite the selection process so that positions can be filled as soon as possible.
Ideal candidates should hold (or be in the final stage of) a highly ranked Master of Science (MSc) in Physics, Biomedical Engineering or Informatics, be fluent in English, have knowledge of medical physics and possess technical proficiency, scientific creativity, fast adaptation to new problems and fruitful collaboration with international and multidisciplinary working teams. Prior experience in software programming and Linux and Windows operating systems is favorable.
The following documents should be submitted:
- Curriculum Vitae
- Letter of Motivation including a short summary of the master thesis and (if applicable) specifying the project(s) of interest
- Last School Certificate
- Documentation for qualifying Academic Degrees (PDFs of transcripts, degree certificates),
- Master thesis (if applicable)
- Other qualification certificates e.g. TOEFL (if applicable)
- Publication List (if applicable)
- Two recommendation letters
Disabled candidates are preferentially considered in case of equal qualification. Applications from women are encouraged.