The project focusses on Trans-Neptunian objects. The key objective is to develop ML tools that provide a quantitative assessment for the quality of fit between observed properties of Trans-Neptunian objects for the various suggested theoretical models. The developed workflow should also be applicable to the other discovery science projects in Dynaverse. Your tasks in detail:
- Perform scientific work on the research topic, in collaboration with SDLAA members.
- Cooperate with partners in Dynaverse on relevant adjacent topics.
- Prepare and publish results in collaboration meetings, workshops and conferences and the preparation of project reports.
- Develop and apply software tools.
- Documentations of software and data according to the FAIR data principles.
- Contributions to workshops and training activities.
Table of Content
Summary
Subscribe for Scholarship Alert!
Benefits
- Comprehensive training courses and individual opportunities for personal and professional further development
- Extensive company health management
- Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy
- Flexible work (location) arrangements, e.g. remote work
- Flexible working hours in a full-time position with the option of slightly reduced working hours ( https://go.fzj.de/near-full-time )
- 30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year)
- A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work
- Targeted services for international employees, e.g. through our International Advisory Service
Requirements
- Master and PhD degree in astronomy, physics, computer science or equivalent fields of study.
- Proven experience in N-body simulations and the comparison of simulation and observation results.
- Machine Learning skills to automise comparison process.
- Unbiased approach to different theoretical models.
- Experience in HPC system usage and parallel/distributed computing.
- Knowledge in GPU-based programming would be considered an asset.
- Proven record in publication of results in high-impact journals.
- Programming experience in at least one the following: C, C++, Fortran.
- Proven background in software development.
- Great ability to work in a multidisciplinary team of scientists with heterogeneous backgrounds solving scientifically challenging problems on large computers.
- Self-motivated personality with very good command of written/spoken English and ideally a very good command of German.
Application Deadline
September 15, 2025How To Apply
Are you qualified and interested in this opportunity? Kindly go to
Forschungszentrum Jülich on www.fz-juelich.de to apply
If your questions have not yet been answered via our FAQs , please send us a message via our contact form.
For more information, kindly visit Forschungszentrum Jülich scholarship webpage.
