The nano-Macro Reliability Lab (nMRL)at the Singapore University of Technology and Design (SUTD) is offering multiple Ph.D. scholarships for highly qualified candidates in the field of prognostics and system health management (PHM). Selected candidates should have relevant backgrounds in applied mathematics/statistics and be interested in applying different mathematical tools and techniques for real-time lifecycle prediction of engineering devices and systems, in general.
The candidates are expected to have very good undergraduate studies credentials, preferably majoring in Industrial (Production) Engineering, Operations Research or Mathematics/Statistics. Master’s degrees in relevant fields would be an added advantage, although not mandatory. Candidates from other major fields of engineering with background in prognostics are also most welcome to apply.
Techniques that will be investigated during the doctoral study include Hidden Markov Models (HMM), Kalman Filters, Regression Analysis, Gamma and Wiener Processes, Neural Networks, Bayesian Inference and Genetic Algorithms. These techniques will be applied to remaining useful life (RUL) predictions of non-ideal scenarios such as changing stress conditions, multiple failure modes, dependent failures etc...
Interested and suitable candidates should send in their CVs and scanned credentials/certificates (grade transcripts, degree certificate) and previous / current publications (if any), to email@example.com. Suitable candidates will then be contacted for further Skype interviews.
The Ph.D. Program at SUTD offers attractive tax-free scholarships and additional funding for annual conference travel, along with possible collaborations with MIT faculty in Boston, USA. The selected candidates are expected to begin work in January 2017.
Singapore University of Technology and Design is established in collaboration with MIT with a focus on Design, through an integrated multidisciplinary curriculum and multidisciplinary research. SUTD is an equal opportunity employer that actively seeks diversity in the workforce.