Nicole Seifert
Phone: +49 351 260 2083
Fax: +49 351 260 12083

More Information


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

Place of work:

Working hours:
29,75 h/week

31 August 2020

Online application
English / German
Job-Id: 91/2020 (1012)

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.

Bautzner Landstraße 400
01328 Dresden

PhD Student (m/f/d) in Machine Learning

As 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 Helmholtz AI group “AI in Future Photon Science” invites applications as PhD Student (m/f/d) in Machine Learning

The Institute of Radiation Physics conducts fundamental research on novel Plasma-based particle accelerators in theory and experiment. The comprehension of the involved physics requires sophisticated methods for fast simulation of theoretical models as well as reconstruction of experimental diagnostics (e.g. X-ray imaging or radiation spectra). Our institute is hosting a Helmholtz AI Young Investigators Group for "AI in Future Photon Science" which is tackling these challenges, i.e. surrogate modelling, PDE learning as well as image reconstruction, by Physics-informed (invertible) neural networks. This implies that we are jointly working on compression of imaging data, uncertainty quantification, resolving ambiguous mappings as well as applied mathematics. 

You will be working in an interdisciplinary team of machine learning researchers, data scientists as well as domain scientists in areas ranging from computer science to astrophysics & radiation physics. You will become part of our local Helmholtz AI initiative offering knowledge transfer & stimulating discussions with a growing number of machine learning enthusiasts. Our HZDR-wide "ML clinic" as well as social events (hackathons, paper reading groups, etc.) are certainly open to you, too. 

The position will be available from 01.10.2020. The employment contract is limited to three years.


  • application and research of machine learning algorithms to either approximate large-scale numerical simulations by surrogate models/neural solvers, or analysis of multi-modal data (e.g. X-ray scattering data, radiation spectra)
  • publishing papers in high-quality refereed conferences and journals
  • presentation of research results at scientific meetings
  • actively collaborating with industry, academia, government labs, and applications developers in a variety of venues


  • major in Computer Science, (Applied) Mathematics, Computational Physics, or a related discipline
  • good mathematical background
  • excellent programming skills in Python
  • strong communication skills in a professional context (presentation of results, colloquial discussions, ...)
  • proven experience in Machine Learning would be desirable

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

  • company pension scheme (VBL)

  • a good work/life balance for which we offer assistance in the form 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