For our location in Hamburg we are seeking:
Remuneration Group 13 | Limited: 2,5 years | Starting date: 01.11.2024 | ID: FHPO002/2024 | Deadline: 28.08.2024 or until the position is filled | Full-time/Part-time | Remote work possible
DESY, with more than 3000 employees at its two locations in Hamburg and Zeuthen, is one of the world's leading research centres. Its research focuses on decoding the structure and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY contributes to solving the major questions and urgent challenges facing science, society and industry. With its ultramodern research infrastructure, its interdisciplinary research platforms and its international networks, DESY offers a highly attractive working environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists.
The ATLAS group at DESY is actively involved in the operation and expansion of the ATLAS experiment at the Large Hadron Collider (LHC) at CERN in Switzerland, as well as in analysing the experimental data. DESY-ATLAS is one of the largest working groups in the international collaboration, which, among other things, investigates the origin of matter. The DESY ATLAS group is involved in data analyses with a focus on measurements relating to the standard model of particle physics and also searches for new phenomena beyond the standard model (e.g. dark matter). The latest computer techniques are used to process the extremely large amounts of data from the LHC experiment. In this context we are seeking a researcher with experience in statistical data analysis and machine learning.
This work is part of the project Neural-based diffusion likelihood-free estimations (NEEDLE), a collaboration of DESY and KIT funded by Helmholtz.Al.
- Development of simulation based inference (SBI) and diffusion methods
- Data analysis within the ATLAS experiment at the LHC
- Deployment of the SBI toolkit on distributed computing systems
- Extension of the SBI methods in view of interpretability
- Application of the SBI method on analysis of LHC data
Look forward to a unique working environment on our international research campus. Respectful cooperation and the well-being of our DESY employees are particularly important to us. Gender equality is an important aspect for us. To support work life balance we offer flexible working hours, variable part-time, job-sharing models and participation in mobile work (up to 50%). You will benefit from our family-friendly and collegial atmosphere, our established health management and occupational pension provision. As a public funded employer, we offer you a secure workplace and facilitate your individual career with our comprehensive training and development opportunities. Remuneration is according to the regulations of the TV-AVH. DESY offers its employees a financial supplement for a German job ticket (Deutschland-Ticket) at both locations.
Limited: 2,5 years
- PhD in physics or informatics
- Very good knowledge of particle physics
- Experience with statistical data analysis and machine learning
- Proficiency in open-source machine learning libraries such as PyTorch or Tenserflow
- Experience with distributed computing systems, HPCs, and containerisation
- Proficiency in Python and C++ object oriented programming
- Very good knowledge of English
For further information please contact Dr. Judith Katzy +49 40 8998 1447 (judith.katzy@desy.de).
Please submit your complete application documents (letter of motivation and research interests, CV, list of publications, relevant certificates and three letters of references). Please use our online tool for the submission of the letters of reference: Additional application documents
We look forward to receiving your application via our application portal:
Apply now
DESY promotes equal opportunities and diversity. The professional development of women is very important to us and therefore we strongly encourage women to apply for the vacant position. Applications from severely disabled persons will be given preference if they are equally qualified (sbv.desy.de).
You can find further information here:
https://www.desy.de/career/
Deutsches Elektronen-Synchrotron DESY
Personalabteilung
Notkestraße 85
22607 Hamburg
Phone: +49 40 8998-3392
Deadline for applications: 31.12.2024