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Ph.D. Position

One funded Ph.D. position is available under the supervision of Dr. Yuguang Fu in the School of Civil and Environmental Engineering at Nanyang Technological University (NTU), Singapore. The position is in civil engineering and will focus on smart sensing and digital construction. The candidate is expected to start in Jan 2024.

Preferred qualifications

  • A Bachelor’s degree or Master’s degree (preferred) in Structural Engineering, Mechanical Engineering, Computer Science, Electrical Engineering, or a related field.

  • Singapore citizen or permanent resident is preferred; Singapore International Graduate Award (SINGA) recipient is also welcome. 

  • Strong background in mechanics, linear algebra, calculus, and probability.

  • Excellent programming skills for one of the languages, such as C/C++, Python, and MATLAB.

  • Research experience in structural engineering, machine learning, signal processing, or circuit design.

  • Good oral and written communication skills in English.

  • Satisfy admission requirements of Nanyang Technological University (please visit https://www.ntu.edu.sg/education/graduate-programme/cee-phd-programme-(by-research)#admission)


Application procedure
The PhD enrollment is started in Jan 2024. Please contact Dr. Yuguang Fu (yuguang.fu@ntu.edu.sg) first by sending the following materials with the subject of “LIFT Ph.D. application”:

  • Cover letter (1 page) telling your motivation, research interest and experience.

  • CV or resume (including a list of publications, if applicable).

  • Transcripts from all post-secondary institutes.

  • A list of two or three references.

The review process will begin immediately, and early communication is encouraged. 

Postdoc. Position

We are seeking two highly self-motivated individuals to work as postdoctoral research fellows. The positions are in civil engineering and will focus on AI, IoT, and digital twins for civil infrastructure monitoring and management. The earliest starting date for the position will be Nov. 2023.

Preferred Qualifications

  • A Ph.D. degree in Civil Engineering, Mechanical Engineering, Computer Science, Electrical Engineering, or a related field.

  • 1-2 years experience in structural condition assessment, machine learning, experimental techniques, sensor development, or signal processing.

  • Excellent programming skills for one of the languages, such as C/C++, Python, and MATLAB.

  • A good record of refereed journal publications or conference presentations.

  • Good oral and written communication skills in English.

  • Previous experience in proposal writing is a plus.


Application procedure
Interested individuals should first contact Dr. Yuguang Fu (yuguang.fu@ntu.edu.sg) by sending the following materials with the subject of “LIFT Postdoc Application”:  

  1. Cover letter (< 2 pages) telling your motivation, research interest, and experience.

  2. CV or resume (including a list of publications, if applicable)

  3. A list of up to three references

The review process will begin as soon as possible. The appointment is for one year, and renewable for a second year. 

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