Research Associate

vor 4 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 Computer Science, Institute of Artificial Intelligence, **the **Chair of Machine**
**Learning for Computer Vision** offers a position as

**Research Associate / PhD Student** (M/F/x)
**“Machine Learning and Image Analysis”**

starting at the** earliest possible date**_. _The position is limited to three years with the option of
extension. The period of employment is governed by the Fixed Term Research Contracts Act
(Wissenschaftszeitvertragsgesetz-WissZeitVG). The position aims at obtaining further academic
qualification (usually PhD). Balancing family and career is an important issue. The position is generally

**Tasks**:

- curiosity-driven basic research of fundamental mathematical optimization problems in the
- fields of machine learning and image analysis- design and analysis of algorithms for solving these problems, exactly or approximately
- implementation, empirical analysis and comparison of these algorithms with respect to real
- data- publication of findings and insights in internationally leading conferences and journals
- contributions to teaching, administration and acquisition of research funding.

**Requirements**:

- very good university degree in mathematics or computer science or a related discipline
- comprehensive education in mathematics, especially in discrete mathematics and one area
- of mathematical optimization (e.g. discrete optimization, convex optimization)- curiosity and strong interest in rigorous mathematical methods
- very good programming skills in C or C++
- very good scientific writing skills in English.

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.

**Intelligenz, Professur für Maschinelles Lernen für Computer Vision, Herrn Prof. Dr. rer. nat.**
**Björn Andres, Helmholtzstr. 10, 01069 Dresden, Germany**. Please submit copies only, as your
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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