Research Fellow (Optimization under Uncertainties)

We have an opening for Research Fellow position in the field of optimization. The position is supported by an approved research project “General techniques for optimization under uncertainties”. The work can be either mathematical, computational or analytical depending on the candidate's skill-set, yet with an emphasis on practical applications. The appointment can commence immediately and will initially be for one year. Extension of up to two years is possible with good research performance. Starting salary depends on qualifications and experience.


Qualifications and Requirements:


Ph.D. Degree in Operations Research, Industrial Engineering, Mathematics or a related discipline.
Research experience in applied optimization, mathematical programming modeling and algorithm development.
Good scientific writing skills
Basic knowledge of a number of programming language such as MATLAB, C, C++ or Java.
Research experience in numerical optimization, simulation/stochastic optimization, applied probability and robust optimization will be an added merit, but not a requirement.

Interested candidates should email their detailed curriculum vitae giving full details of research experience and list of publications to with the subject heading "RF for Optimization under Uncertainties