Postdoctoral fellow in advanced reconstruction methods for clinical multispectral optoacoustic tomography (f/m/d)

ArbeitsortMünchen, Bayern, Deutschland


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Technische Universität München

Technische Universität München


Postdoctoral fellow in advanced reconstruction methods for clinical multispectral optoacoustic tomography (f/m/d)

05.06.2019, Wissenschaftliches Personal

The mission:
Multispectral Optoacoustic Tomography (MSOT) is a novel medical imaging modality that provides images of biological tissue with optical contrast and acoustic resolution at a depth up to several centimeters. By illuminating biological tissue with laser pulses of different wavelengths and recording ultrasound waves generated via the photoacoustic effect, MSOT can non-invasively detect different chromophores, such as oxygenated and deoxygenated hemoglobin or lipids, without the need for exogenous contrast agents. The underlying reconstruction problem is a highly challenging non-linear and ill-posed inverse problem. Even though the method has demonstrated its clinical value, the reliable quantitative reconstruction of chromophore concentrations from clinical MSOT data has not been achieved so far.
The successful candidate will develop and efficiently implement advanced reconstruction methods for quantitative MSOT in an interdisciplinary team. She or he will also explore methods to integrate ultrasound data acquired in hybrid MSOT and ultrasound (OPUS) systems into the reconstruction. In addition, the candidate is expected to contribute to the institute’s reconstruction software development, and to actively participate in the reconstruction and analysis of clinical MSOT data, provided by a team of trained clinicians. In particular, exploiting the benefits of data-driven methods in both reconstruction and data analysis are of great interest for MSOT and OPUS. The candidate can build on existing methods and software developed at the institute.

Your profile:
The successful applicant must have the following:
o A Ph.D. in Mathematics, Computer Science, Engineering, Physics, Optics or a related discipline.
o Excellent track record of research achievements and publications in top-ranked journals.
o Strong motivation, scientific curiosity and commitment to scientific excellence.
o Genuine interest in medical imaging and biomedical applications.
o Programming and software development skills.
o Experience in the management of large medical datasets is considered a strong asset.
o In-depth knowledge of signal and image processing and detection techniques.
o Team player skills and enthusiasm to work in a multi-disciplinary, collaborative environment.
o Excellent command of the English language.

Our offer:
We offer you the unique chance to make a difference in future healthcare. At CBI, we strongly believe in scientific excellence and innovation. This is your opportunity to be part of and to advance your career in a world-leading research institute, where bioengineering principles meet today’s challenges in biology and medicine to develop the solutions of tomorrow. IBMI provides a highly international, multi-disciplinary environment with excellent opportunities for professional growth. You will be part of a dynamic, professional and highly motivated team within a stimulating environment. We support career development, continued education and life-long learning.
Situated on the foothills of the Alps, Munich is consistently ranked as one of the most vibrant and enjoyable cities in the world, with an exceptionally quality of life. Greater Munich is also home to several world-class universities and research institutes, creating a truly inspiring intellectual atmosphere.
The successful applicant will initially have a 2-year contract, with the possibility of extension. We offer a competitive salary and benefits depending on work experience and seniority in accordance with the public service wage agreement (TV-L E13). As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from women as well as from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. Preference will be given to disabled candidates with essentially the same qualifications.

Your application:
We are looking forward to receiving your comprehensive application including your letter of motivation, CV and academic transcripts of records preferably in English and in a single PDF file, via email to cbi.recruitment [at] tum[.]de. Please indicate "Postdoctoral fellow in advanced reconstruction methods for clinical multispectral optoacoustic tomography" in the subject line.

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Dr. Dominik Jüstel
email: dominik.juestel [at] tum[.]de
tel.: +49 89 4140 9165

Technical University of Munich (TUM) Chair of Biological Imaging (CBI) Ismaningerstr. 22
81675 Munich, Germany
Bitte beziehen Sie sich bei Ihrer Bewerbung auf und die Referenz  JobID 147033.

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