2 Ph.D. positions (all genders welcome) in Mathematical Statistics at Uni Göttingen
Stellenanzeige: 2 Ph.D. positions (all genders welcome)
Einrichtung: Institute for Mathematical Stochastics (ID 15077), Georg August Universität Göttingen
Ansprechpartner: Prof. Dr. Axel Munk
The Institute for Mathematical Stochastics at the Faculty of Mathematics and Computer Science of the University of Göttingen invites applications for
2 Ph.D. positions (all genders welcome)
in Mathematical Statistics
These positions should be filled by October 01, 2020. The regular working hours will be currently 29,85 hours per week (75% of full-time) with a limited contract of 3 years. Salary: Pay grade 13 TV-L.
We are looking for excellent and highly motivated applicants with a strong and well-rounded background in statistical, mathematical and computational methodology and a broad knowledge of modern methods of data analysis. A Master degree or a related qualification is required. We offer to work in an interdisciplinary and international team of researchers. Among others, our research is concerned with the development of statistical methodology at the cutting edge in collaboration with lab scientists within the cluster of excellence “Multiscale Bioimaging”
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 send your application (including CV, transcript of records and motivation letter) as a single pdf file (in electronic form) by 26.07.20 to e-mail: firstname.lastname@example.org.
If you have any questions, please contact Prof. Dr. Axel Munk, e-mail: email@example.com.
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)