Description of the Chair
The chair of Transportation Systems Engineering focuses on performing transportation research surrounding aspects of modeling and simulation of transportation systems, implementation of data science and data analytics in transport, and human factors analysis. Specifically, the TSE chair performs research on both multimodal and unimodal freight and passenger transport demand and supply modeling, allowing for contributions to the optimization, calibration, and validation of transport models. In this direction, the application of Big Data acquisition and analysis is examined, as well as the use of Data-driven flexible models. Finally, the TSE chair contributes to the analysis of human factors analysis in transport-related fields such as road safety modeling, behavioral economics applications, and modeling of factors that affect transportation systems user engagement.
We are always seeking highly motivated and skilled candidates to join our team as Ph.D. student/ Postdoc Doctoral researchers. This position offers a unique opportunity to contribute to cutting-edge research in the field of transportation systems engineering. The successful candidate will work closely with our team to investigate and address key challenges in mobility and transportation systems. This position is ideal for individuals with a passion for research, strong analytical skills, and a desire to make a meaningful impact in the transportation field. The candidates will need to prepare a 1–2 page research proposal in one of the areas of research performed by the chair. A research proposal should include the research topic, why the topic is important to research, and the methodology proposed for the research. A good way to think about this is to look at the ongoing and past projects, as well as the publication of the Chair.
The successful candidate will be supervised by Prof. Dr. Constantinos Antoniou.
- MSc degree in a relevant field (e.g., transportation engineering, data science, computer science) for the Ph.D. position
- Ph.D. in a relevant field (e.g., transportation engineering, data science, computer science) for the postdoc position
- Be enthusiastic about performing research on transport-related data analytics, and modeling
- Have strong analytical skills – e.g., statistics and probability theory, statistical learning
- Excellent research, academic writing, and presentation skills
- Programming experience using Python or R
- Have excellent working knowledge (written and oral) of English
The following qualities will be considered a plus:
- Knowledge of German
- Experience with EU-funded projects
- Experience with teaching and preparing teaching material.
Also, Ph.D. candidates must fulfill the TUM admission requirements
Conditions of Employment
TUM offers a competitive compensation package in accordance with the Public Sector Collective Agreement of Länder (TV-L). This position is a 100% TV-L 13 initially funded for three years (A13 a.Z. or E13, depending on the circumstances of the successful applicant). The position’s expected start date is October 2023. More information on the offered wages can be found at oeffentlicher-dienst.info/tv-l/west/
TUM is an equal-opportunity employer. Qualified women are particularly encouraged to apply. Applicants with disabilities are treated with preference, given comparable qualifications.
Interested applicants who fit the requirements of the position are asked to send the following to firstname.lastname@example.org:
- a CV
- academic transcripts
- a motivation letter
- short research proposal
- the names and contact information of the three references
Please include the position ID in the email subject (e.g., [TSE123] and your name).
Review of applications will begin immediately and continue until the position is filled.