Graduate PhD (Summer) Intern – Multi-Fidelity Simulation Optimization

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Requirements:

• Experience with numerical and/or stochastic optimization.
• Previous experience in using high performance computing (HPC) tools.
• Deep knowledge of probability and/or stochastic processes, e.g. Markov Chain.
• Only current PhD students will be considered for this position.

Responsibilities:

• Implement multi-fidelity simulation oracles for transportation systems.
• Enhancing existing software by adding solvers and functionalities for testing various simulation optimization methods with multi-fidelity stochastic oracles.
• Performing numerical analysis to fairly compare solvers in the presence of stochastic noise.