Postdoc - Advanced Modeling and AI Solutions
Core
Develop numerical models for materials, structures, and processes to support memory development and manufacturing challenges.
Role type
Postdoctoral researcher in computational materials science and process modeling
Builds
Numerical models for wet processes, chemical etching, and multi-physics simulations
Domain
Semiconductor manufacturing, memory technology, computational chemistry/physics
Deliverable
production ML models | research
Required skills
algorithm development, numerical methods, scientific computing, thermodynamics, physics, chemistry, computational materials science, machine learning, deep learning, regression, neural networks, process modeling, multi-physics modeling, Linux, Bash, Python, FORTRAN, C++, OpenFOAM, ANSYS Fluent, COMSOL, plasma modeling, MC modeling
Preferred skills
AI tools usage (Copilot, Genie)
Technologies
OpenFOAM, ANSYS Fluent, COMSOL, Python, FORTRAN, C++, Bash, Linux
Responsibilities
Execute modeling activities independently, develop and implement numerical models, report results to the team, collaborate on next steps, write reports and conference papers
Seniority
Postdoctoral researcher, independent contributor