Postdoctoral Scholar in Computational Optoelectronics and Applied Mathematics
Core
Develop and analyze 2D/3D optical and electronic models for integrated energy microgenerators (IEMGs) using high-order numerical methods.
Role type
Postdoctoral Scholar in Computational Optoelectronics and Applied Mathematics
Builds
Numerical models and research software for semiconductor drift-diffusion and Maxwell systems
Domain
Optoelectronics, Computational Mathematics, Energy Microgeneration
Deliverable
production ML models
Required skills
Python, Finite-element methods, Discontinuous-Galerkin methods, Partial differential equations, Numerical analysis, Computational optimization, Semiconductor modeling, Maxwell equations, Drift-diffusion systems
Preferred skills
Machine learning, High-performance computing, Version control, Photovoltaics, Gradient-based optimization
Responsibilities
Implement high-order solvers in Python; Investigate effects of grain boundaries and defects on device performance; Perform mathematical analysis and optimization of bandgap profiles and device geometry; Collaborate with faculty and students; Develop and verify numerical models for coupled optical and electronic processes.