Postdoc: AI-Driven Digital Twin for Microelectronics

University of Texas; Austin (TX); On-site; USD 63,000 - 77,000; Full time

Benefits offered by this job

Competitive health benefits

Generous paid vacation and sick time

Tuition assistance

Robust free training access

Job summary

A leading academic institution in Austin, Texas seeks a Postdoctoral Fellow to advance research in AI and Machine Learning for semiconductor manufacturing. Candidates should possess a PhD in Operations Research or related fields, with proficiency in data analytics and advanced optimization techniques. This role offers competitive health benefits and opportunities for professional growth in a transformative environment.

Qualifications

• Experience with industrial big data problems.
• Familiarity with microelectronics packaging is a plus.
• Experience in working with co-optimization systems.

Responsibilities

• Develop multiscale and multiphysics modeling for heat spreaders.
• Collaborate with experimental groups on characterizations.
• Communicate research results through manuscripts.

Skills

Data analytics

Artificial Intelligence (AI)

Machine Learning (ML)

Advanced process control

Physics-informed AI/ML

Education

PhD in Operations Research or closely related discipline

Tools

Hadoop

Spark

Python

Matlab

Job description

A leading academic institution in Austin, Texas seeks a Postdoctoral Fellow to advance research in AI and Machine Learning for semiconductor manufacturing. Candidates should possess a PhD in Operations Research or related fields, with proficiency in data analytics and advanced optimization techniques. This role offers competitive health benefits and opportunities for professional growth in a transformative environment.