PhD student position(salary scale 13 TV-L / 75%)

The Institute for Analysis and Numerics at the University of Münster invites applications for a

PhD student position(salary scale 13 TV-L / 75%)

in the group of Prof. Dr. Mira Schedensack.

The position will start on the earliest possible date. The contract will be fixed-term for three years. The regular weekly working time is 39 hours and 50 minutes.
All posts can, as a rule, also be filled as part-time positions if there are no compelling work-related reasons against it.

The PhD student will work on the topic of her/his dissertation. The topic will be concretized together with the candidate and will deal with the development and analysis of numerical schemes for partial differential equations. The independent numerical realisation and the performance of numerical experiments are also part of the project.

- Candidates hold a Master degree (or equivalent) in Mathematics with focus on numerics
- Candidates have a strong background in finite element methods and their analysis
- Candidates have programming skills and experience in Matlab or other programming language
- Candidates have good English skills

The University of Münster is an equal opportunity employer and is committed to increasing the proportion of women in academics. Consequently, we actively encourage applications by women. Female candidates with equivalent qualifications and academic achievements will be referentially considered within the framework of the legal possibilities. We also welcome applications from candidates with severe disabilities. Disabled candidates with equivalent qualifications will be preferentially considered.
Please submit your application preferably by e-mail together with the usual documents by 31st of December 2017 to

Angewandte Mathematik
Institut für Analysis und Numerik
z.Hd. Frau Carolin Gietz
Einsteinstr. 62
48149 Münster
Email: carolin.gietz@uni-muenster.de

Organisation: 
Contact and application information
Deadline: 
Sunday, December 31, 2017
Contact name: 
NumanaMS2016