• investigate and formalize critical equity cases in transportation systems using datasets (e.g., POI, population, travel time) to quantify environmental justice (EJ) metrics and integrate them into network design frameworks
• formulate novel optimization models for combined network design and resource pricing, incorporating fairness for different transport aspects (e.g., accessibility, emissions, safety)
• employ state-of-the-art metaheuristic algorithms (e.g., genetic algorithms, simulated annealing) to solve large-scale EJ-integrated optimization problems, supplemented by exact methods (e.g., MILP solvers) for benchmarking small-scale scenarios
• perform sensitivity analyses to assess how network structures, pricing schemes, and EJ parameters influence equity outcomes for protected groups
• participate in and/or present at conferences and/or workshops relevant to the project as required
• assist with the project-related supervision of research students in the research area where required 

• have a university degree in a relevant field, e.g., transportation engineering, mathematics, computer science
• are passionate about transportation research with a good grasp on the fundamentals of transportation systems optimization
• possess excellent research, academic writing, and analytical skills
• have a strong programming background with experience in using Python, C/C++, and/or Java, etc.
• strong interpersonal skills with demonstrated ability to communicate (written and oral in English) and interact with a diverse range of stakeholders and students

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. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.

Please submit your comprehensive application including the usual documents by April 30, 2025 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to katrin.gloeckner@tu-dresden.de or to: TU Dresden, Fakultät Verkehrswissenschaften “Friedrich List”, Institut für Verkehrsplanung und Straßenverkehr, Professur für Transport Modelling and Simulation, Herrn Prof. Travis Waller, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only, as your application will not be returned to you. 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.