Do you find AI fascinating? Are you interested in developing open-source software? Do you enjoy working together with multidisciplinary experts in the field of Data Analysis, AI, Scientific Computing, Instrument Simulation, and Atomistic Simulations? Then you might be the right fit for our Data-Driven Discovery Group, which is embedded into the SimLab of the Jülich Centre for Neutron Science (JCNS) that operates at the Heinz Maier-Leibnitz Zentrum (MLZ) in Garching near Munich a suite of high performance neutron scattering instruments. Within the user program, MLZ is being visited by more than 1,000 scientists from universities and research institutions in Germany and allover the world with the aim to perform experiments in the physical, chemical, biological, and materials sciences. In addition, JCNS is actively pursuing a research program in the field of soft matter science and condensed matter physics.
The Data-Driven Discovery Group develops AI-based data reduction and analysis methods and autonomous data acquisition for neutron scattering experiments. We work in close collaboration with instrument scientists and other IT groups of MLZ. We also closely cooperate with other European and non-European (US, UK) research centres.
We are looking to recruit a
Postdoc / Data Analysis Software Developer – Machine Learning / Artificial Intelligence
Your Job:
- Applying existing and developing new deep / machine learning techniques for neutron and X-ray scattering data reduction and analysis.
- Developing open-source software (Python, C++), deploying developed models
- Analyzing performance of deep / machine learning models
- Active collaboration with experimental physicists and instrument scientists
- Presentation of research results at scientific meetings, conferences, and as scientific papers
Your Profile:
- Master and PhD degree in natural sciences, preferable in physics, mathematics, informatics or computer science
- Strong mathematical background
- Advanced knowledge of statistics is desired
- Comprehensive knowledge of and experience in AI and applied machine learning
- Experience with Python (knowledge of Pytorch / TensorFlow 2, TensorFlow Probability, and pandas is a benefit), C++, Git, continuous integration, cross-platform development, numerical mathematics
- Experience with Unix / Linux (experience with HPC is a benefit)
- Interest in analysis of X-ray / neutron scattering data
- Self-motivated personality, with the ability to work within a multi-disciplinary team environment on scientifically challenging problems
- Very good command of written and spoken English
- Initiative character, creativity, good interpersonal communication and presentation skills, result orientation, and analytical skills
Our Offer:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with:
- Challenging and varied work in a growing multicultural team of enthusiastic professionals
- Visibility of our products in the web, public Git repositories, through scientific publications, and at schools and conferences
- A comprehensive further training program
- Exciting working environment on an attractive research campus, ideally situated close to the city of Munich
- An excellent opportunity to carry out research in the novel field
- Flexible working hours and various opportunities to reconcile work and private life
- Full-time position with the option of slightly reduced working hours and 30 days of annual leave
- Targeted services for international employees, e.g. through our International Advisory Service
We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is initially for a fixed term of three years, with possible extension for two further years. Salary and social benefits are in conformity with the provisions of the Collective Agreement for the Public Service (TVöD).
Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations.
We also welcome applications from disabled persons.
We look forward to receiving your application until September 7, 2021 via our Online Recruitment System!
Questions about the vacancy?
Get in touch with us by using our contact form. Please note that for technical reasons we cannot accept applications via email.
Link: https://fz-juelich.de/portal/DE/Karriere/AktuelleStellenausschreibungen/_StellenangeboteProfessionals/IT-Stellenangebote_table.html?nn=363560