Research Assistant (f/m/d) (Institute for Mathematical Stochastics) (ID 15631)

Einrichtung: Institute for Mathematical Stochastics (ID 15631)

Ansprechpartner: Prof. Stephan Huckemann

Besetzungsdatum: 01.09.2021

Veröffentlichungsdatum: 30.06.2021

The Institute for Mathematical Stochastics and the Felix-Bernstein-Institute for Mathematical Statistics in the Biosciences at the university of Göttingen (Faculty of Mathematics and Computer Science) invites applications for a

Research Assistant (f/m/d)

This position should be filled by September 01,2021 or after. The regular working hours will be currently 29,75 hours per week with a limited contract of 3 years. Salary: Pay grade 13 TV-L.

Position: Non-Euclidean Limit Theorems
A position is available for a PhD student working at the interface of
- Riemannian geometry,
- statistics and
- empirical process theory
each on a rather basic level, the challenge lies, however, in their non-trivial combination.

This research project led by Professor Stephan Huckemann focuses on a deeper understanding of non-Euclidean limit theorems.

Prospective candidates have an excellent degree in mathematics or statistics, and a strong interest in this interdisciplinary research area.

The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference.

Please mail applications (cover letter, CV, transcripts and e-mail address of an academic referee) in a single pdf file and a copy of the master thesis to Prof. Stephan Huckemann [email protected]

Application deadline: July 28, 2021. E-mail: [email protected]
Scheduled begin of employment: Sept. 1, 2021.

Please note:
With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR)