Lehrstuhl für Biologische Bildgebung an der Techischen Universität München
Are you passionate about science, full of ideas and innovative potential that drive change and enjoy working in an international, fast-paced environment? Are you motivated by the societal impact of research and seek an opportunity to play an instrumental part in the development of emerging technologies for biology and healthcare? Then the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM), Germany and its integrated Institute of Biological and Medical Imaging (IBMI) at the Helmholtz Zentrum Muenchen (HMGU) is the ideal environment for you!
CBI is the cornerstone of a rapidly expanding bioengineering ecosystem in the Munich science area; including the Research Center TranslaTUM and the Helmholtz Pioneer Campus, which integrate bioengineering with oncology and metabolic disorders, respectively. CBI scientists develop next-generation imaging and sensing methods to measure previously inaccessible properties of living systems, hence, catalyzing breakthroughs in biology and medicine. Comprising 11 inter-disciplinary laboratories and scientists from more than 25 countries, CBI offers state-of-the-art infrastructure for innovative research and a perfect environment to accelerate your career. Our research aims to shift the paradigm of biological discovery and translation to address major health challenges of our time and develop the medical solutions of tomorrow.
Join our team and be part of our rich and dynamic research culture of enquiry and innovation. CBI researchers come from the top ranks of physics, chemistry, engineering, and biomedicine and our pipeline frequently yields high-impact papers, successful technology spin-offs and commercialization. Our research is regularly featured in major news channels and received broad recognition including several prestigious awards and considerable research funding from national and international sources.
To drive innovative data analysis approaches and propel feature extraction from medical imaging data to the next level, we now seek a highly qualified and motivated computer scientist (f/m) in data analysis and machine learning.
Postdoctoral fellow (f/m)
Computer scientist in data analysis and machine learning
We work at the interface of technology and medicine, innovating imaging technologies based on optical and acoustic contrast that can be applied in basic biology research and implemented in the clinic to support non-invasive diagnostics, treatment and management of disease. Our portfolio includes a broad range of techniques, including optical microscopy, optoacoustic microscopy, and optoacoustic tomography, that can generate structural and functional information about healthy and diseased tissue at unprecedented depths inside organisms. We have only begun to scratch the surface of how much information we can extract and analyze from the myriad of images generated with these techniques. Therefore, if you are an experienced Computer Scientist with expertise in machine learning, join our team and help us gain as many biomedical relevant insights as possible from our imaging studies. Our goal is to optimize existing imaging platforms to bring them closer to clinical implementation, as well as to stimulate new analytical approaches that catalyze further imaging innovation. This is your opportunity to contribute to a medical imaging revolution!
A Ph.D. and university degree in computer science, mathematics, or a related field.
Excellent track record of research achievement and publications in top-ranked journals.
Strong motivation, scientific curiosity and commitment to scientific excellence.
Experience with data analysis, machine learning and deep learning.
Experience in programming in Python.
Team player who thrives within multi-disciplinary teams and willingness to continue learning.
Excellent command of the English language
The following qualifications are considered advantageous:
Proficiency in a deep learning framework such as TensorFlow, PyTorch.
Accomplishments in deep learning either through open source projects, blog contributions, or published work in machine learning conferences such as NIPS, CVPR, ICML, etc.
What we 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. CBI provides a highly international, multi-disciplinary environment with excellent opportunities for professional growth. This is a leadership position at the center 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 of the Federal Republic of Germany (TV-L 13). 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.
How to apply:
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 firstname.lastname@example.org. Please indicate “Postdoctoral fellow (f/m) – Computer scientist in data analysis and machine learning” in the subject line.
For any questions please contact:
Dr. Andreas Hillmair
tel.: +49 89 4140 6936
Technical University of Munich (TUM)
Chair of Biological Imaging (CBI)
81675 Munich, Germany
Letter of motivation, CV and academic transcripts of records, preferably in English and in a single PDF file. Please indicate “Postdoctoral fellow (f/m) – Computer scientist in data analysis and machine learning” in the subject line.