Reference Number
9634
Development of hierarchical monitoring strategies for induced seismicity
Are you seeking a Postdoc project at the interface between geoscience, machine learning and mathematics, with an application to the highly relevant topic of induced seismicity? Then a position in this project might be appealing to you. The aim of the project is the further development and optimization of hybrid artificial intelligence systems. A specific focus is on sparse data applications and the reliable incorporation of physical knowledge, to produce explainable models. The project focuses on the use of AI methods in procedures for determining sensitivities, uncertainties and an optimal experimental design. The topic of induced seismicity is important for the further development of technologies in the field of geothermal energy, resulting in a high social relevance of the project.
The Postdoc position is subject to approval by third-party funders.
Your responsibilities:
1. Development of new strategies to perform global sensitivity analysis using physics-based machine learning methods
2. Integration of hierarchical surrogate models into traffic light systems for the monitoring of induced seismicity
3. Further Development of the code basis
4. Presentation of the results on conferences and publication in peer-reviewed journals
Your qualifications:
5. PhD degree in mathematics, computer science or geophysics or in related subjects
6. Experience in the field of induced seismicity, mathematics, or computer science
7. Programming skills in Python/C++ as well as experience in the field of machine learning
8. Good English language skills
What we offer:
9. Ambitious and varied tasks in a dynamic and international research environment
10. State-of-the-art equipment
11. Public service benefits
12. Extensive training opportunities
13. Professional career advice offered by our in-house Career-Centre
14. Flexible working hours and conditions
15. Support with finding a good work-life balance offered by benefit@work
16. Institute day-care centre on site
17. Working at the Albert Einstein science park on the Telegrafenberg in Potsdam
18. Work place within walking distance of Potsdam main train station, or just a short ride on the shuttle bus
Start date: 01st September 2024
Fixed-term: 36 months
Salary: The position is classed as salary group 13 according to “TVöD Bund (Tarifgebiet Ost)”. The salary group is determined on the basis of the Collective Wage Agreement and the respective personal qualifications.
Working hours: Full-time (currently 39 h/week); The position is generally suitable for part-time work.
Place of work: Potsdam
Have we piqued your interest?
If so, we look forward to receiving your application by 15th August 2024. Please use our online application form only.Requirements on the application:
19. Curriculum Vitae
20. Academic credentials (mark sheets and degree statements)
21. Summary of the PhD thesis or equivalent
22. Names and contact details of (at least) two referees
23. Cover letter including a paragraph delineating your background, interest in the position