Doctoral Researcher (PhD Student) (all genders welcome)

Doctoral Researcher (PhD Student) (all genders welcome)
Stellen-ID: 2727
Facility: Institute for Mathematical Stochastics
Contact person: Herr Prof. Dr. Axel Munk
[email protected]
0551 39172101
Date of filling: 01.04.2024
Application deadline: 18.02.2024

At the University of Göttingen - Public Law Foundation – we offer a position at the research group of Prof. Dr. Axel Munk, Department of Mathematics and Computer Science, Institute for Mathematical Stochastics, April 1, 2024 or later, as

Doctoral Researcher (PhD Student) (all genders welcome)
- 75 % of pay grade 13 TV-L -

The vacancy is limited for 3.5 years.

About us: We develop novel methodology for data analysis at the cutting edge of applications in (cell) biology. In doing so, we closely collaborate with lab scientists and benefit from an interplay between approaches in statistics, geometry and optimization. We offer an interdisciplinary qualification program that equips our graduate students with a broad set of skills for analyzing data and its methodology, e.g. within the DFG collaborative research center “Mathematics of Experiment”, see https://www.uni-goettingen.de/de/628179.html or within the DFG research unit “Mathematical Statistics in the Information Age, see https://for5381.uni-freiburg.de/en/research-unit-5381/

The position: PhD in Mathematical Statistics You will conduct research which preferably deals with one of the following topics:  Data analysis based on optimal transport, statistically efficient methods under computational constraints, or statistical methods for data on discrete structures. Additionally, you will get the opportunity to take place in our study program, which includes special lectures and seminars, annual workshops, regular meetings with other PhD students as well as with your thesis advisory committee.

Your profile As a successful candidate, you

• hold an excellent or very good Master’s degree (or equivalent) in mathematics, engineering, statistics,physics or a related area,
• have strong interest and background in mathematical statistics, optimization and/or geometry
• are proficient in written and spokenEnglish,
• have gained experience in programming and data analysis (e.g., Python, R,C++).

The University of Göttingen aims to increase the proportion of women in areas where women are underrepresented and therefore urges qualified women to apply. It also sees itself as a family-friendly university and promotes the compatibility of science / career and family. The university is particularly committed to the professional participation of severely disabled and therefore welcomes applications from severely disabled persons. In case of equal qualifications, preference will be given to applications from people with severe disabilities. A disability or equality is to be included in the application in order to protect the interests.

Please submit your application with all important documents (CV, list of publications, coy of Master and Bachelor degree, letter of motivation, two references for letter of recommendation) in one pdf-document summarized until February 18th, 2024 exclusively via E-Mail: [email protected] .

Further information will be provided by Axel Munk, E-Mail: [email protected]

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 Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo