Key Duties and Responsibilities

• Build or adapt a physics-based simulator of the cold-spray process.
• Validate simulation models against experimental measurements to ensure accuracy and reliability.
• Translate target part geometries into optimization constraints for spray-gun trajectory, including position, orientation, and speed.
• Implement cost functions that capture shape error, material usage, energy consumption, and mechanical constraints.
• Develop and apply classic optimization methods and advanced reinforcement learning algorithms.
• Design neural-network policies and value functions for high-dimensional robot-arm control problems.
• Define rigorous evaluation protocols, including shape-accuracy metrics, computation time, and robustness to uncertainties.
• Compare algorithmic performance using high-fidelity simulations and, where possible, conduct tests on a physical test-bench.
• Prepare monthly technical reports, draft conference/journal papers, and present results in seminars.