PhD in Computer Science / Mechanical Engineering
Designers are often faced with the need to solve large scale, computationally expensive constrained optimization problems. Small and often disconnected feasible patches, high underling dimensionality of the variable space and computationally expensive assessment of constraints pose significant challenges to population based stochastic optimization algorithms. This project will focus on design of computationally efficient optimization algorithms to solve such classes of problems e.g. MOPTA8, Mazda Bench etc.
Good programming (Matlab, C/C++) and analytical skills, preferably with a Masters Degree in Engineering / Computer Science. Prior research experience in optimization is desirable but not necessary. Demonstrated competence in academic writing and oral presentation skills will be beneficial.
Must meet UNSW admission criteria and English Language requirements. Scholarships of AUD 35,000 per annum are available for PhD students joining UNSW Canberra who achieved H1 /High Distinction in their UG program and/or have completed a Masters by Research. For more details and eligibility, visit https://www.unsw.adfa.edu.au/study/scholarship/international-postgraduate-research-scholarships.
Please send electronic copies of CV and transcripts to Dr Hemant Kumar Singh (email@example.com).
Multidisciplinary Design Optimization (MDO) Group, UNSW Canberra (http://mdolab.net/)