Institut für Mathematische Stochastik

Hilfskräfte für das WiSe 2024/25 gesucht




Im Institut für Mathematische Stochastik werden Hilfskräfte für das WiSe 2024/25 für folgende Lehrveranstaltungen gesucht:


-  Grundlagen der Stochastik für Lehramt

-  Diskrete Stochastik für Studierende der Informatik

-  Maß- und Wahrscheinlichkeitstheorie

-  Stochastic lab course

-  Zyklus

-  Statistical and Computational Data Science 2

Es besteht die Option der Verlängerung für das SoSe 2025.


Wenn ihr Interesse an einer Hilfskraftstelle am Institut für   Mathematische Stochastik habt, bewerbt euch bitte per E-Mail an Tobias Kley (email: Bitte gebt euren Namen, Anschrift und E-Mail-Adresse in der E-Mail an und fügt eine Liste mit den von euch besuchten, relevanten Lehrveranstaltungen bei (gern mit Noten). Gerne könnt ihr außerdem ein Ranking angeben, in dem ihr für die obigen Lehrveranstaltungen berücksichtigt werden möchtet. Die Bewerbungsfrist endet am 24.06.2024.





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, October 1, 2024

3 Doctoral Researcher (PhD Student) (all genders welcome)

- 75% of pay grade 13 TV-L -

 The vacancy is limited for 3 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 quali-fication 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 or within the DFG research unit “Mathematical Statistics in the Information Age, see

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. The position has a teaching load of 3 SWS and it is expected that the candidate integrates into the teaching  duties of the Institute of Mathematical Stochastics.

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 spoken English,

  • have gained experience in programming and data analysis (e.g., Python, R, C++).

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 University is particularly committed to the professional participation of severely disabled employ-ees and therefore welcomes applications from severely disabled people. In the case of equal qualifications, applications from people with severe disabilities will be given preference. A disability or equality is to be included in the application in order to protect the interests of the applicant.

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 July 7th, 2024 exclusively via E-Mail: Further information will be provided by Axel Munk, E-Mail:

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)

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