Contact

Nicole Seifert

n.seifertAthzdr.de
Phone: +49 351 260 2083
Fax: +49 351 260 12083

More Information

Vorschau-Bild
Vorschau-Bild

Eye catcher

For any questions, do not hesitate to ask:
Dr. Nico Hoffmann Tel.: +49 351 260 3668

Place of work:
Dresden-Rossendorf

Working hours:
39 h/week

Deadline:
31 March 2020

Online application
English / German
Job-Id: 32/2020 (953)

The HZDR is committed to equal opportunity employment and we strongly encourage applications from qualified female candidates. We also carefully consider all applications from job candidates with severe disabilities.

Helmholtz-Zentrum
Dresden-Rossendorf
Bautzner Landstraße 400
01328 Dresden

Postdoc (f/m/d) for ML-assisted reconstruction of scattering data

A member of the Helmholtz Association of German Research Centers, the HZDR employs about 1,200 people. The Center's focus is on interdisciplinary research in the areas energy, health and matter.

The Institute of Radiation Physics conducts research for states of matter under extreme conditions and in very small dimensions. This research is supported by a interdisciplinary Helmholtz.ai Young Investigators Group (YIG) that researches and applies recent machine learning techniques for fast simulation of complex systems as well as reconstruction of, among others, X-ray scattering data. However, the development of robust physics-informed reconstruction methods is a very challenging task as it requires advanced knowledge of recent modalities at large-scale X-ray facilities, profound mathematical background as well as strong interest in machine learning. 

The YIG welcomes applications of scientists familiar with scattering techniques (such as Small-Angle X-ray scattering, or Coherent Diffraction Imaging) who are interested or experienced in data science. The applicant is going to translate prior knowledge of scattering techniques into robust data-driven methods that allow fast and robust reconstruction.

The position will be available as soon as possible. The employment contract is limited to three years.

Tasks:

  • identification of imaging techniques that enable and/or improve reconstruction of X-ray scattering data
  • proactive collaboration with experimentalists to translate knowledge of reconstruction techniques into experimental planning
  • research, development of new machine learning algorithms for reconstruction of scattering data
  • publishing papers in high-quality refereed conferences and journals in Physics and applied Machine Learning
  • presentation of research results at scientific meetings
  • contribution to preparation of new grant proposals/studies as needed
  • actively collaborating with industry, academia, government labs, and applications developers in a variety of venues

Requirements:

  • PhD in Physics or a closely related discipline
  • preferablely: experience in X-ray scattering techniques
  • strong publication record in acquisition and/or analysis of scattering data
  • good programming skills (python, preferably: pytorch)
  • strong mathematical background
  • topics of interest include: Small-Angle X-ray scattering, Phase Contrast Imaging, Machine Learning, Image Analysis, Deep Generative Models, ill-posed inverse problems

We offer:

  • exciting work environment on an attractive research campus

  • high scientific professional networking as well as scientific excellence

  • salary and social benefits in conformity with the provisions of the Collective Agreement TVöD-Bund

  • 30 Vacation Days per year

  • company pension scheme (VBL)

  • a good work/life balance for which we offer assistance in the shape of:

    • possibility to work part-time

    • flexible working hours

    • in-house health management

Kindly submit your completed application (including cover letter, CV, diplomas/transcripts, etc.) only via our Online-application-system.

Online application English / German