Metabolic Magnetic Resonance Imaging
PhD in Metabolic Imaging of Muscle Metabolism
01.10.2024, Wissenschaftliches Personal
The Department of Nuclear Medicine at the Technical University of Munich (TUM) is seeking applications from highly motivated candidates for a PhD position in metabolic imaging. The PhD position supervised by Prof. Dr. Franz Schilling.
75% TV-L E13 | temporary (48 months) | Department of Nuclear Medicine
The Department of Nuclear Medicine at the Technical University of Munich (TUM) is seeking applications from highly motivated candidates for a PhD position in metabolic imaging. The PhD position supervised by Prof. Dr. Franz Schilling (https://www.professoren.tum.de/en/schilling-franz). The imaging infrastructure located at the Department of Nuclear Medicine (www.schillinglab.com) 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. The position is embedded in the DFG research unit HyperMet enabling cutting edge multi-disciplinary research. The aim of this project is to elucidate the underlying metabolic mechanisms of muscle metabolism using advanced methods of metabolic research. In our project we combine transgenic muscle hypertrophy mice models with advanced metabolic imaging techniques.
Your responsibilities:
Establish imaging biomarkers in a preclinical setting based on magnetic resonance imaging and positron emission tomography to enable a comprehensive characterization n of tissue providing functional, physiological, metabolic, cellular and molecular information beyond anatomical structures
Implementation and optimization of deuterium and hyperpolarized 13C metabolic MRI for muscle research
[18F]FDG-PET small animal imaging
Imaging protocol development, image processing, image analysis
Presentation and publication of scientific results
Lay out imaging strategies for early-stage detection, tumor phenotyping and evaluation of response to therapy
Your profile:
Excellent M.Sc. or equivalent degree in physics, chemistry, biomedical engineering or other related subjects
Previous experience in biomedical imaging is an advantage
Team spirit, capability of independent self-motivated study
Very good English and communication skills are a prerequisite
Experience in basic chemistry, good computer skills and proficiency in at least one programming language (e.g. Python, MATLAB) are required
We offer you:
Well-equipped, state-of-the-art research environment within the Klinikum rechts der Isar
Workspace in the middle of Munich with excellent research network and excellent public transport connections (option for ‘Job-Tickets’ from MVV, Deutsche Bahn, Meridian and BOB)
Membership in TUM Graduate School (mandatory)
You will join the TUM Graduate School, which offers excellent opportunities for career development, continued education, and life-long learning
Situated next to the Alps, Munich is consistently ranked as one of the most enjoyable cities in the world
The doctoral candidate will be employed by TUM (75 % TV-L E13) for a total duration of four 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/).
We look forward to your application!
Contact: Prof. Dr. Franz Schilling | 089 / 4140 –4586 | Department of Nuclear Medicine
Please submit your complete application documents by e-mail including
• CV, cover letter, contact details of at least two references
• your preferred starting date.
E-Mail: bewerbung.nuklearmedizin@mri.tum.de
If the candidates’ suitability for the position in question is equal, severely disabled applicants shall be given preference. Interview-related costs can, unfortunately, not be reimbursed.
The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Kontakt: schilling@tum.de