Institution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Physics
Salary level: EGR. 13 TV-L
Start date: 01.06.2023 or shortly thereafter, fixed until 28.02.2026 (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).
Application deadline: 2023-04-01
Scope of work: full-time position suitable for part-time
Duties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications.
The KISS project is a national consortium of ten research centres in Germany, led by the Universität Hamburg and funded by the Federal Ministry of Education and Research (BMBF).
The main goal of this project is the development of machine learning methods for the resource-efficient simulation of complex scientific datasets in particle physics, astroparticle physics, hadron- and nuclear physics, and astronomy.
For the Hamburg site, we invite applications for a research associate position on the topic of deep learning in particle- and astrophysics. Possible topics include:
Postdoctoral research associates will conduct cutting-edge research and duties include the development of algorithms, the writing of scientific publications and the presentation at international conferences. They will be embedded in a highly international and interdisciplinary research environment that includes the Department of Physics, DESY, The Centre for Data and Computing in the Natural Sciences (CDCS), and the Cluster of Excellence “Quantum Universe”. The University hosts one of the biggest physics departments in the country and provides state-of-the-art computing infrastructure. Research associates will have access to fund for travel and may participate in teaching at the University.
A university degree in a relevant field plus doctorate.
Doctoral degree in physics or another relevant field (mathematics, computer science). Familiarity with basics of astrophysics and particle physics, ideally in the form of an undergraduate thesis project. Experience in coding and in the basics of machine learning.
Reliable remuneration based on wage agreements
Continuing education opportunities
Flexible working hours
Work-life balance opportunities
Reduced rates available for a HVV-Proficard (transit pass) and much more
30 days of vacation per annum
As a University of Excellence, Universität Hamburg is one of the strongest research universities in Germany. As a flagship university in the greater Hamburg region, it nurtures innovative, cooperative contacts to partners within and outside academia. It also provides and promotes sustainable education, knowledge, and knowledge exchange locally, nationally, and internationally.
The Free and Hanseatic City of Hamburg promotes equal opportunity. As women are currently underrepresented in this job category at Universität Hamburg according to the evaluation conducted under the Hamburg act on gender equality (Hamburgisches Gleichstellungsgesetz, HambGleiG), we encourage women to apply for this position. Equally qualified and suitable female applicants will receive preference. Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.
Prof. Dr. Marcus Brüggen
+49 40 42838-8527
Prof. Dr. Gregor Kasieczka
+49 40 8998-2123
Send us your complete application documents via the online application form (cover letter, CV, list of publications, if available, proof of teaching experience and external funding track record [acquiring and conducting external funding projects], if necessary, further documents stipulated in the job advertisement, ID attesting to your disability or proof of equivalent status) only.
If you experience technical problems, send an email to .
More information on in selection procedures.