Research Associate

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. lt 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 **"Friedrich List" Faculty of Transport and Traffic Sciences, Institute of Traffic Telematics,** the **Chair of Traffic Process Automation** offers a position as **Research Associate / PhD Student / Postdoc **(M/F/x) starting** as soon as possible.** The position comprises 75% (100% for a Postdoc) of the full-time weekly hours and is limited to 3 years. 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 / habilitation thesis). The chair develops models, algorithms, and solutions to manage and control multimodal transport systems, including but not limited to: traffic state estimation, prediction, and control in the context of cooperative systems (C-ITS), energy-efficient driving, and safe interactions between vehicles and vulnerable road users. Our employees have a common goal of contributing to a sustainable, safe, and efficient transport system via conducting interdisciplinary research and delivering high-quality education. include, but are not limited to: - scientific research activities, including participating in research projects on topics of traffic system dynamics modelling, prediction and control, and in general Intelligent Transportation Systems; writing scientific publications; presenting research results at conferences; research in connection with own qualification; - teaching activities (according to HSDAVO) under the professional responsibility of the holder of the chair, including preparation of teaching materials; conducting courses and examinations; supervision and assessment of seminar papers and theses; professional assessment of seminar papers and theses; projects, and project management. - hold a university and, if applicable, a PhD degree in transportation engineering, applied mathematics, systems and control, operational research, data science, robotics, electrical engineering, or equivalent; - be proficient in Python/Java/C++; - be proficient in written and spoken English; - be proficient in German or be committed to master German; - be able to work in a team; - have an affinity for teaching and guiding students - Track record in traffic control is desirable. - Experience in creating, calibrating and evaluating microscopic traffic flow as well as experience with project acquisition and project management is considered a plus. **We offer**:Working in a team of enthusiastic scientists who work to push the boundaries of knowledge and policy-makers. 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.- curriculum vitae including a list of publications; - statements of teaching and research interests (max. 3 pages); - if applicable an English summary of your dissertation (max. 2 pages); - degree certificate; - names and contact details of three references that we can contact. TUD applies) to**: TU Dresden, Fakultät Verkehrswissenschaften "Friedrich List", Institut für** **Verkehrstelematik, Professur für Verkehrsprozessautomatisierung, Herrn Prof. Dr. Meng** **Wang, Helmholtzstr. 10, 01069 Dresden, Germany** or via the TUD SecureMail Portal **Reference to data protection**: Your data protection rights, the purpose for which your data will be processed, - dresden.de/karriere/datenschutzhinweis.