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Our mission as research center: Discover personalized medical solutions for environmentally triggered diseases to promote a healthier society in a rapidly changing world.

The Institute of Biological and Medical Imaging (IBMI) at Helmholtz Munich and the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) are an integrated, multi-disciplinary research structure and form the cornerstone of a rapidly expanding bioengineering ecosystem in Munich, Germany; including the Helmholtz Pioneer Campus and the Research Center TranslaTUM, which integrate bioengineering with metabolic disorders and oncology, respectively.

We now seek a highly qualified and motivated PhD candidate (f/m/x) to drive the development of computational tools and data analysis methods in multispectral optoacoustic tomography for label-free imaging of metabolic parameters in animals and humans.

PhD candidate for computational methods in cardio-metabolic imaging (f/m/x) 101588

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Image Neuherberg near Munich
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Your mission

The successful candidate will be instrumental in re-designing MSOT and adapting it to studies of metabolism and validate the re-designed system for cardio-metabolic imaging against established gold-standard imaging techniques. You will develop data analysis methods to extract metabolic markers from the rich spectral imaging datasets generated by MSOT imaging systems and help design optimized system specifications for improved data quality, especially in deeper tissue layers.

Given the prevalence of cardio-metabolic disease in modern societies, this project has huge potential for high-impact research findings and exploitation. You will be integrated into a network of high-profile researchers within a novel DFG-funded research group, giving you excellent opportunities for scientific interaction and professional growth.

Your qualifications

The successful applicant must have the following:

  • A master degree in Computer Science, Mathematics, Statistics, Data Science, Physics, Engineering or a related discipline.
  • Strong motivation, scientific curiosity and commitment to scientific excellence.
  • Experience in at least two of the following topics: signal and image processing, data analysis, machine learning, mathematical modelling and simulation, inverse problems.
  • Expertise in biomedical imaging is an advantage.
  • Good programming skills (preferably Python, MATLAB).
  • Team player skills and enthusiasm to work in a multi-disciplinary, collaborative environment.

What we offer you

scientific training at HELENA Graduate School
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work-life balance
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flexible working hours & time off in lieu
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30 days annual leave
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on-site health management service
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Image discounted public transport ticket

Munich, with its numerous lakes and its vicinity to the Alps, is considered to be one of the cities with the best quality of life worldwide. With its first-class universities and world-leading research institutions it offers an intellectually stimulating environment.

This position also provides the opportunity for you to build specialist knowledge and collect significant professional experience, both of which will help advance your scientific career.

Remuneration and social benefits are based on the collective wage agreement for public-sector employees at federal level (EG 13 75% TV EntgO Bund). The position is (initially) limited to three years, but under certain circumstances an extension can be arranged.

To promote diversity, we welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion and age. Qualified applicants with physical disabilities will be given preference.
If you have obtained a university degree abroad, we require further documents from you regarding the recognition of the degree. Please request the recognition as early as possible.

We are looking forward to receiving your comprehensive online application including your letter of motivation, CV and academic transcripts of records, preferably in English and in a single PDF file.

Interested?
If you have further questions, simply contact Dr. Dominik Jüstel, +49 89 4140 9165, who will be happy to be of assistance.
Helmholtz Zentrum München
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Institute of Biological and Medical Imaging
Ingolstädter Landstraße 1 

85764 Oberschleißheim

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