PhD Position (f_m_x) - Hierarchichal physics-based machine learning methods

Reference Number

9630

Predicative assessment of induced seismicity through hierarchical physics-based machine learning methods

Are you seeking a PhD 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 PhD position is subject to approval by third-party funders.

Your responsibilities :

• Development of an optimal experimental design strategy for the placement of monitoring systems using machine learning surrogates
• Determination of the influence of different data sources
• Further development of the code basis
• Presentation of the results on conferences and publication in peer-reviewed journals

Your qualifications :

• Master degree or equivalent in mathematics, computer science or geophysics or in related subjects
• Interest in research and applications in the field of induced seismicity
• Programming skills in Python as well as experience in the field of machine learning
• Good English language skills

What we offer :

• Ambitious and varied tasks in a dynamic and international research environment
• State-of-the-art equipment
• Public service benefits
• Extensive training opportunities
• Professional career advice offered by our in-house Career-Centre
• Flexible working hours and conditions
• Support with finding a good work-life balance offered by benefit@work
• Institute day-care centre on site
• Working at the Albert Einstein science park on the Telegrafenberg in Potsdam
• Work place within walking distance of Potsdam main train station, or just a short ride on the shuttle bus

Start date : 01st November 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 : Part-time 75% (currently 29.25 h / week)

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 :

• Curriculum Vitae
• Academic credentials (mark sheets and degree statements)
• Summary of the Master thesis or equivalent
• Names and contact details of (at least) two referees
• Cover letter including a paragraph delineating your background, interest in the position
Vor 30+ Tagen