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
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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.
Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Konrad Adenauer Foundation Scholarship
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.
