TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)

Research Associate / PhD Student (m/f/x)

Location
Dresden, Sachsen (DE)
Posted
Oct 22, 2021
End of advertisement period
Nov 16, 2021
Contract Type
Fixed Term
Hours
Part Time

At TU Dresden, "Friedrich List" Faculty of Transport Sciences, Institute of Traffic Telematics, the Chair of Traffic Process Automation offers a position as

Research Associate / PhD Student (m/f/x)
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)

starting January 1, 2022, limited to June 30, 2024 with the option for extension. 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 (e.g. PhD). Balancing family and career is an important issue. The post is generally suitable for candidates seeking part-time employment. Please indicate your request in your application.

The chair is investigating models, algorithms and solutions to manage and control sustainable transport systems, such as energy-saving driving, the safety of pedestrians and cyclists, and traffic control in the context of connected and highly automated driving (C-ITS). Our employees support our goal of creating a sustainable, safe transport system with their work.

Tasks: Collaboration in the research project Jena5G-V2X "5G-based V2X networking to increase traffic safety and optimise multimodal transport and energy supply in Jena". The development, publication and presentation of scientific publications at national and international conferences. Publications at national and international conferences as well as journals are expected.

Focal points are:
    Conceptual design and project work in the field of C-ITS and C-V2X,
    Continued development and implementation of algorithms for traffic light queue length estimation and switching time prognosis, traffic situation determination and prognosis, 
    Traffic engineering design, programming of control unit for traffic lights,
    Modelling and simulation in SUMO/VISSIM.

Requirements: Very good university degree in traffic engineering or similar. Theoretical and practical (technical) understanding in the field of traffic signal systems; organisational skills and ability to work in a team; high motivation and self-critical scientific approach; profound analytical understanding at least; fluent in written and spoken German or English. Programming skills in an object-oriented programming language as well as the handling of databases (MySQL, PostgreSQL), experience in research projects and in the subject area of automated/assisted driving are desirable. A high level of motivation to pursue a doctorate is considered a plus.

We offer: Working in a team of enthusiastic scientists who creatively pursue their individual research work. We value diversity and therefore welcome all applications - regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age and sexual orientation and identity.

Applications from women are particularly welcome. The same applies to people with disabilities.

Please submit applications in a single PDF file containing all documents. The file must contain:
    letter of motivation for the application (cover letter),
    curriculum vitae,
    transcripts of notes,
    copy of BSc/MSc/Diploma certificate,
    translations of the documents, if they are not submitted in German or English.

Please submit your comprehensive application including the usual documentation by November 16, 2021 (stamped arrival date of the university central mail service applies) to: TU Dresden, Fakultät Verkehrswissenschaften "Friedrich List", Institut für Verkehrstelematik, Professur für Verkehrsprozessautomatisierung, z. Hd. Frau Maria Wauer, Helmholtzstr. 10, 01069 Dresden or via the SecureMail Portal of TU Dresden https://securemail.tu-dresden.de as a single pdf document to maria.wauer@tu-dresden.de. Your application documents will not be returned, please submit copies only. 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, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis 

Please find the German version under: 
https://tu-dresden.de/stellenausschreibung/8908

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