Discover here more job vacancies on academics – the leading job market for science and research. In order to receive information about suitable job vacancies regularly by email, you can register with us free of charge at any time.
PhD position (f/m) Diffusion MRI
Published(242 days ago)
Deadline for applications(167 days ago)
Klinikum rechts der Isar / Technical University of MunichMünchen
The Klinikum rechts der Isar university hospital of the Technical University of Munich is a major European center of medical care and education. With over 1.161 beds and almost 5.500 employees, we treat some 300.000 patients per year with state-of-the art care.
PhD position at Technical University of Munich in Diffusion MRI
The Technical University of Munich (TUM) is seeking applications from highly motivated candidates for a PhD position in diffusion magnetic resonance imaging. The PhD positions are embedded within the Emmy Noether Junior Research Group "Combined biochemical and biophysical imaging biomarkers for characterization of tumor metabolism and response to therapy" led by Dr. Franz Schilling and part of the DFG-funded Collaborative Research Center (SFB 824, www.sfb824.de) entitled "Imaging for Selection, Monitoring and Individualization of Cancer Therapies".
The successful candidate will develop novel non-invasive magnetic resonance (MR) imaging biomarkers of unprecedented sensitivity for the characterization of tumor metabolism and response to therapy. She/he will focus on advanced preclinical diffusion MRI techniques that provide novel information currently not accessible with existing methods. Specifically, image acquisition, reconstruction and post-processing of diffusion imaging data will be part of this PhD project including the implementation of a novel 8-channel receiver array coil. Imaging biomarkers enable a comprehensive characterization of tissue providing functional, physiological, metabolic, cellular and molecular information beyond anatomical structures. For cancer patients, specific non-invasive imaging strategies for early-stage detection, tumor phenotyping and evaluation of response to therapy are not available at a satisfactory level, creating a pressing need for these advanced imaging technologies.
The preclinical imaging core located at the Department of Nuclear Medicine (www.nuk.mri.tum.de) and the Center for Translational Cancer Research (TranslaTUM, www.translatum.tum.de) provides state-of-the-art imaging instrumentation and consists of a group of scientists working on applications and specific improvements of multimodal imaging.
We invite applications from candidates having a M.Sc. or equivalent degree in physics, chemistry, bioengineering, electrical engineering or other related subjects. Previous experience in biomedical imaging is beneficial. Team spirit, capability of independent self-motivated work, as well as very good English and communication skills are required. Good computer skills and proficiency in at least one programming language (e.g. MATLAB) are required.
The doctoral candidate will be employed by TUM (75 % TV-L E13) for a total duration of three years. The successful applicant will be enrolled within the TUM Graduate School receiving a structured doctoral training (https://www.gs.tum.de/en/doctorate-at-tum/).
Payment is according to tarif (TV-L). We give priority to severely disabled applicants with essentially equal qualifications.
Application details: Applications should include a curriculum vitae, certificates and transcripts of academic degrees, a letter of motivation detailing the applicant‘s research interests, and contact information for at least 2 references. The position can be filled immediately. Please send your application within one PDF-document email@example.com no later than June 30th.
With our job newsletter, you will receive suitable job ads as well as interesting content matching your search profile on a weekly basis.
Current search terms:
Chemistry, Biology, Biotechnology, Biomedicine, Biophysics, Medical Technology, Physics, Electrical Engineering, Electronics, PhD Student, Science, Research and Higher Education, Bavaria, University, Hospital, Part Time
After registering, you will be able to adjust your profile.