Available Projects / Internships in Singapore

Double Degree students are to approach TUD's Traineeship Office Civil Engineering before confirming any internships.

For general enquiry, please contact Cecilia Dewi

Project Title Generation and propagation mechanism of internal waves
Source / Principal Investigator Dr Vivien Chua Pei Wen, email:ceecpwv@nus.edu.sg
Profile: http://www.eng.nus.edu.sg/cee/people/ceecpwv/
Location National University of Singapore, Singapore
Period / Availability Available
Updated September 2014
Project Brief Internal waves are ubiquitous in the ocean and are generated in a stratified environment through interactions with complex local topography, such as continental shelf and slope, submerged sills and ridges. In this project, the student will employ the SUNTANS (Stanford Unstructured Nonhydrostatic Terrain-following Adaptive Navier-Stokes Simulator) to perform numerical simulations of internal waves in the East China Sea (ECS). The primary goal will be to use numerical simulations to generate accurate predictions of internal wave events in ECS. A detailed calibration will be performed, and the model-predicted sea surface elevations and velocities will be compared to observations at several locations throughout the model domain. The model will be subsequently validated with observations of temperature profiles in the ocean and Synthetic Aperture Radar (SAR) imagery of the ocean surface. The main objectives are to understand the generation, propagation and evolution mechanisms of internal waves and their interaction with abrupt topography.
Additional Information --
Suitable for NUS-TUD DDP:
Additional Thesis Project (minimum 8 weeks full-time)
MSc Thesis Project

NUS, CE5314 HEWRM Project (maximum 2 semesters)


Project Title Data analysis of time series of wind speed for hydrodynamic modelling of South China Sea
Source / Principal Investigator Dr Vivien Chua Pei Wen, email:ceecpwv@nus.edu.sg
Profile: http://www.eng.nus.edu.sg/cee/people/ceecpwv/
Dr Low Ying Min, email:ceelowym@nus.edu.sg
Profile: http://www.eng.nus.edu.sg/cee/people/ceelowym/
Location National University of Singapore, Singapore
Period / Availability Available
Updated October 2014, 6 months to 1 year
Project Brief Ocean circulation models are widely used to predict changes in sea water levels. Two important input parameters are the wind velocity and the tidal circulation. Although the latter is usually fairly predictable from past data, wind velocity is inherently a stochastic process. More specifically, past data can only yield a statistical description of the process, but the time series of the process in the future is not known deterministically. Consequently, direct application of past data for future projections will lead to uncertainties in the prediction.
Recently, an unstructured-grid SUNTANS model has been calibrated for the South China Sea, based on comparison of predicted sea water levels with observed data. The aim of this project is to analyze the time series of wind data obtained from stations, in order to construct a suitable statistical model. This model will then be used to numerically simulate multiple samples of time series of the wind velocity. These time series samples can then be applied to the SUNTANS model in another project, for the purpose of characterizing the uncertainty of the predicted sea water level.
Additional Information --
Suitable for NUS-TUD DDP:
Additional Thesis Project (minimum 8 weeks full-time)
MSc Thesis Project

NUS, CE5314 HEWRM Project (maximum 2 semesters)