Research Associate / PhD Student Machine Learning
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Role details
Tech stack
Requirements
Do you have experience in Machine learning?, * excellent university degree in mathematics, computer science, or physics
- mathematical maturity and a strong interest in basic research using rigorous mathematical methods
- very good command of written and spoken English
Benefits & conditions
- excellent supervision in an outstanding scientific environment
- unique opportunities for collaboration with local, national, and international partners
- IT equipment tailored to individual needs
- a modern working environment in a city of science and culture, surrounded by a unique landscape
About the company
TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. 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
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)
starting at the earliest possible date. The position is limited to three years. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification (usually PhD).
Tasks:
- scientific teaching and research activities
- independent, curiosity-driven basic research in one of the following areas:
- Machine Learning and Image Analysis
- Machine Learning and Combinatorial Optimization
- Machine Learning and Automated Theorem Proving
- publication of research results in leading journals and at top conferences
- contributions to teaching and academic self-administration
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