Requirements
-Minimum education: PhD in Applied Mathematics, Industrial Engineering, and related areas
-Stochastic dynamic programming
-Operation research (transportation, linear and nonlinear, probabilistic, dynamic scheduling)
-Life time data modelling
-Time series
-Preferable: advanced in Meta-heuristic optimization and search modelling (genetic algorithms, simulated annealing, tabu search, particle swarm optimization, ant colony optimization)
-Preferable:Bayesian statistics
-Familiarity with programming languages either VBA, .Net, Python, Java
-Hard working, team player, eager to learn
-Ideal Age Range: Maximum 35