The candidate will work with long-term lightcurves from the Fermi Satellite and combine them with other lightcurves from radio, optical and X-ray catalogs. It is one of the central tasks in this project to develop supervised and unsupervised machine learning algorithms in order to predict the continuation of the lightcurves and to identify subflares in the long-term multimessenger data.
Your tasks:
- Develop machine learning algorithms for long-term lightcurves of AGN (supervised, unsupervised)
- Predict the continuation of the lightcurves
- Identify short-term structures in the long-term lightcurves
- Help building a bridge between machine learning and astroparticle physics
- Preparation of publications of the research results
- The position comes with a teaching duty of 4 hours a week
Table of Content
Summary
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Benefits
- Employment at one of the largest universities in Germany within the University Alliance Ruhr
- Options for flexible working (mobile working and teleworking)
- Collaboration in a committed and appreciative team
- A workplace in a green environment with direct access to the botanical garden of Ruhr University Bochum
Requirements
- PhD in data science or related disciplines
- Excellent knowledge in the development of machine learning algorithms
Application Deadline
October 20, 2025How To Apply
Are you qualified and interested in this opportunity? Kindly go to
Ruhr University Bochum on jobs.ruhr-uni-bochum.de to apply
For more information, kindly visit Ruhr-University Bochum Scholarship webpage.
