Base: $70,000 + depending on qualifications; bonus...
Phd in operations research or industrial engineering within last 3 years
Experience with physics-informed ai and ml methodologies
Proficiency in python, matlab, hadoop, and spark
The position focuses on developing physics-informed Artificial Intelligence and Machine Learning methodologies to enable digital twin functionalities in microelectronics
Job Summary
The position focuses on developing physics-informed Artificial Intelligence and Machine Learning methodologies to enable digital twin functionalities in microelectronics.
The successful candidate will lead applied research involving multiscale modeling for thermomechanical effects on high-performance heat spreaders using diamond thin films.
The Texas Institute for Electronics is supported by over $1 billion in funding from the US DoD and the state of Texas to advance domestic semiconductor manufacturing.
Matching Summary
The position focuses on developing physics-informed Artificial Intelligence and Machine Learning methodologies to enable digital twin functionalities in microelectronics.
Salary
Base: $70,000+ depending on qualifications; Bonus/Equity: Not specified; Benefits: Competitive health benefits (employee premiums covered at 100%), TRS retirement plan with 8.25% match, paid vacation, LinkedIn Learning access
Skills & Requirements
Must-have
PhD in Operations Research or Industrial Engineering within last 3 years
Experience with physics-informed AI and ML methodologies
Proficiency in Python, Matlab, Hadoop, and Spark
Knowledge of advanced optimization and control systems
Ability to conduct multiscale multiphysics modeling
Nice-to-have
Familiarity with co-optimization of multistage manufacturing systems
Background in microelectronics packaging and heterogeneous integration
Experience with industrial big data problems
Track record of publishing in archival journals
Key Requirements
PhD earned within the last 3 years in Operations Research, Industrial Engineering, or related field
Must be authorized to work in the United States without sponsorship
Experience handling industrial big data and super-computing cluster systems