Doctoral Researcher in Mathematical Stochastics (University of Gottingen)

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, 2025 1 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, eg within the DFG cluster of Excellence “Multiscale Bioimaging”, see https://mbexc.de 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, statistics 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. Stochastics. Your profile As a successful candidate, you • hold an excellent or very good Master's degree (or equivalent) in mathematics, computer science, 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 (eg, Python, R, C++). The University of Göttingen is an equal opportunity 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 employees 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 June 7th, 2025 exclusively via E-Mail: stochastik@uni-goettingen.de . Further information will be provided by Axel Munk, E-Mail: munk@math.uni-goettingen.de 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 If you apply for this position please say you saw it on Computeroxy

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, 2025

1 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, eg within the DFG cluster of Excellence “Multiscale Bioimaging”, see https://mbexc.de 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, statistics 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. Stochastics.

Your profile As a successful candidate, you
• hold an excellent or very good Master's degree (or equivalent) in mathematics, computer science, 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 (eg, Python, R, C++).

The University of Göttingen is an equal opportunity 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 employees 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 June 7th, 2025 exclusively via E-Mail: stochastik@uni-goettingen.de .

Further information will be provided by Axel Munk, E-Mail: munk@math.uni-goettingen.de

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