Doctoral Research Associate in Applied Mathematics

University of Munster Institute for Analysis and Numerics

Doctoral Research Associate in Applied Mathematics

Wissenschaftliche/r Mitarbeiter/in
(salary level TV-L E13, 75%)

Applications are invited for a 3-year PhD position (75% TV-L E13) in the group of Caterina Zeppieri (Applied Mathematics: Institute for Analysis and Numerics, University of Münster, Germany) within the framework of the DFG priority programme:

"Variational Methods for Predicting Complex Phenomena in Engineering Structures and Materials (SPP 2256)"

The candidate shall have a master’s degree in mathematics (or in a closely related field). Applications from candidates who are about to finish their Master programme are also welcome.

The successful candidate will benefit from the stimulating environment and facilities of the Cluster of Excellence "Mathematics Münster: Dynamics - Geometry - Structure".

The expected starting date is 1 October 2020 although a later starting date is also possible.

Candidates are invited to apply by sending an email to:

The email shall include the following documents as a single pdf attachment: a cover letter, a CV, a copy of the master’s thesis (or an extended abstract if a completed thesis is not available at the time of application). The application can be written in English, German, or Italian.

In addition, candidates shall contact two referees who will send their reference letter directly to:

The deadline for applications is 15 July 2020 but the position will be filled as soon as a suitable candidate is found. Therefore you are encouraged to apply as soon as you are able to.

The University of Münster is an equal opportunity employer and is committed to increasing the proportion of women in academia. Consequently, we actively encourage applications by women. Female candidates with equivalent qualifications and academic achievements will be preferentially 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.