For any questions, do not hesitate to ask:
Dr. Nico Hoffmann Tel.: +49 351 260 3668
Place of work:
31 March 2020
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
PhD Student (f/m/d) in multiple Machine Learning positions for image reconstruction & PDE learning
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 an interdisciplinary Helmholtz.ai Young Investigators Group 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.
As part of the Institute, the Department of Laser Particle Acceleration, invites applications as PhD Student (f/m/d) in multiple Machine Learning positions for image reconstruction & PDE learning. The position will be available as soon as possible. The employment contract is limited to three years.
- application and research of machine learning algorithms to either
1. approximate large-scale numerical simulations by surrogate models/neural solvers, or
2. 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 closely related discipline
- strong mathematical background
- excellent programming skills in Python
- strong communication skills in a professional context (presentation of results, colloquial discussions, ...)
- topics of interest include: Physics-informed neural networks, ill-posed inverse problems, optimization, deep regression, multivariate polynomials, generative models, uncertainty estimation
- preferably. proven experience in Machine Learning
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.