Postdoc (f/m/d) for ML-assisted reconstruction of scattering data / PhD in Physics or a closely related discipline / identification of imaging techniques that enable and/or improve reconstruction of X-ray scattering data

Helmholtz-Zentrum Dresden-Rossendorf (HZDR)

Dresden Rossendorf, Germany

Area of research:

Scientific / postdoctoral posts



Starting date:

1588284000



Job description:


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.


Please apply via recruiter’s website.

Quote Reference: NATURE:60370