Research Associate

vor 2 Wochen


Dresden, Deutschland Leibniz-Institut für Polymerforschung Dresden e. V. Vollzeit

TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most
dynamic research institutions in the country. Founded in 1828, today it is a globally oriented,
regionally anchored top university as it focuses on the grand challenges of the 21st century. It
develops innovative solutions for the world's most pressing issues. In research and academic
programs, the university unites the natural and engineering sciences with the humanities, social
sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
and transfer of science to society. As a modern employer, it offers attractive working conditions to all
employees in teaching, research, technology and administration. The goal is to promote and develop
their individual abilities while empowering everyone to reach their full potential. TUD embodies a
university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation
and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent
university. Accordingly, we welcome all applicants who would like to commit themselves, their
achievements and productivity to the success of the whole institution.

At the** Faculty of Mathematics,** **Institute of Scientific Computing, **the **Chair of Applied Analysis**
offers a position as

**Research Associate / PhD Student / Postdoc** (M/F/x)***

starting **as soon as possible**. The position is limited to three years. The period of employment is
governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG).
The position either comprises 100% of the fulltime weekly hours (as a postdoc) or 75% of the fulltime
weekly hours (as a PhD Student). The position aims at obtaining further academic qualification (usually
PhD / habilitation thesis). Balancing family and career is an important issue. The full-time postdoc

The research focus of the Chair is on non-linear partial differential equations, variational methods and
mathematical modeling in continuum mechanics. Periodic and stochastic homogenization is one of
the main topics of the chair. It is involved in various research projects, including the interdisciplinary
interdisciplinary coordinated programs._ _

**Tasks**: You will be actively involved in the research activities of the Chair of Applied Analysis, especially
in the field of homogenization of partial differential equations and/or the analysis of variational
in the field of mathematics._ _

**Requirements**: You should- have an above-average university degree (Master) and - if applicable
- a PhD degree in
- have sound expertise in the analysis of partial differential equations and variational problems;_ _
- and be able to carry out teaching tasks in German and English._ _
- In addition, the following skills are desirable:_ _
- knowledge in one or more of the following areas: homogenization, regularity theory for partial

differential equations, mathematical continuum mechanics;_ _
- a strong interest in interdisciplinary work;_ _
- proven skills in writing scientific papers._ _

Postdoctoral applicants should also have an above-average PhD in the field of mathematics. Please
provided that the dissertation has already been submitted.

TUD strives to employ more women in academia and research. We therefore expressly encourage
women to apply. The University is a certified family-friendly university and offers a Dual Career
equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code
IX (SGB IX) will receive priority for employment.

**Wissenschaftliches Rechnen, z. Hd. Herrn Prof. Dr. Stefan Neukamm, Helmholtzstr. 10, 01069**
Expenses incurred in attending interviews cannot be reimbursed.

**Reference to data protection**: Your data protection rights, the purpose for which your data will be processed,
- dresden.de/karriere/datenschutzhinweis.


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