Functional and structural performance of railway infrastructure
03 May 2024
Supervising Professor:
The supervision at TUM will be performed by the Chair and Institute of Road, Railway and Airfield Construction, Univ.-Prof. Dr.-Ing. Stephan Freudenstein.
About:
The research position is funded by the German Academic Exchange Service (DAAD) and TUM Asia and offers a full-time, fixed-term position at the TUM Singapore Campus. You will be enrolled as an active doctoral candidate in the TUM Graduate School with the objective to obtain a doctoral degree awarded by TUM. You will be based in Singapore and be a member of a small group of doctoral candidates working together in the TUM Asia Graduate College, and will have the opportunity to spend some time at the main TUM Campus in Munich, Germany.
Given TUM’s strategic collaboration with the Nanyang Technological University (NTU, Singapore), there is also the option to obtain a joint TUM-NTU doctoral degree, if you also fulfil the NTU PhD requirements and are accepted by NTU.
The scholarship is tenable for one year in the first instance and is renewable subject to good research performance. The maximum period of the Scholarship is 4 years for doctoral candidates, as determined by the school, as well as availability of research funding in each case.
Your contribution:
The planned research topic: “Functional and structural performance of railway infrastructure” will develop AI based predictive track maintenance strategies for urban rail infrastructure. In order to optimise the functional performance (track availability) of rail infrastructure over its decades of service life and to maintain it cost-effectively, it is necessary to implement a predictive maintenance approach to overcome the limitations of preventive and corrective maintenance. This system change requires condition-based health assessment using continuous track monitoring data and prediction of remaining service life of components using generated, network-specific performance functions (wear, fatigue).
To apply:
Interested candidates should send their full applications via email, including a resume, academic transcripts and a cover letter to:
phd.admission@tum-asia.edu.sg
We expect that you have:
- a master’s degree in Civil engineering / Transportation engineering or equivalent – theoretical knowledge or specific practical experience in rail infrastructure (design and maintenance)
- Experience and interests in using modelling and simulation tools (FEM and/or MBS)
- Motivation and interest in using the latest tools (AI) to analyse large amounts of data.
- Ability to work in a multicultural environment.
- Motivation to publish research papers in relevant high ranked journals / conferences.
Monthly Scholarship: SGD 3,000
Starting Date: ASAP, ideally 1st August 2024
