Postdoc Position 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 postdoc position in metabolic imaging. The postdoc position is 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 genetic and surgery-induced 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 of tissue providing functional, physiological, metabolic, cellular and molecular information beyond anatomical structures
Implementation and optimization of deuterium, 1H MRSI 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 be able to participate in courses from TUM Institute for LifeLongLearning, 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 postdoctoral candidate will be employed by TUM (100 % TV-L E13/E14) for a total duration of two years.
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.
Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt.
Hinweis zum Datenschutz:
Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.
Kontakt: schilling@tum.de