Postdoctoral Fellow - DD

Postdoctoral Fellow – DD

Position at the University of Texas at Austin.

About Us

The Texas Institute for Electronics (TIE) is a University of Texas at Austin‑supported semiconductor consortium of state and local government, preeminent defense electronics and semiconductor companies, national labs and nationally recognized academic institutions. Our mission is to develop and execute a state‑of‑the‑art 3D Heterogeneous Integration manufacturing technology roadmap, and to provide critical pilot manufacturing capabilities to address national security needs and catalyze domestic economic growth.

Job

Posting Title

Postdoctoral Fellow – DD

Hiring Department

Texas Institute for Electronics

Position Open To

All Applicants

Weekly Scheduled Hours

40

FLSA Status

To Be Determined at Offer

Earliest Start Date

Ongoing

Position Duration

Expected to Continue

Location

Austin, TX

Purpose

The Postdoc employed in this position will conduct/lead applied as well as fundamental research in physics‑informed Artificial Intelligence (AI) and Machine Learning (ML) methodologies enabling digital twin functionalities in microelectronics and advanced packaging. The Postdoc will be part of a larger team of engineers‑scientists working on cutting‑edge advancements in heterogeneous integration.

Responsibilities

• Develop multiscale and multiphysics modeling for thermomechanical effects on high performance heat spreaders based on materials such as diamond thin films.
• Collaborate with experimental groups on characterization of thermomechanical properties of diamond thin films and other thermal interface materials.
• Communicate effectively with PI and collaborators in regular meetings.
• Develop manuscripts for publishing in archival journals based on the research results.
• Other duties as assigned.

Required Qualifications

• PhD earned within the last 3 years in Operations Research and Industrial Engineering or a closely related discipline, with a focus on data analytics, AI, ML, advanced process control, and digital twin technologies in semiconductor manufacturing.
• Experience with handling industrial big data problems, physics‑informed AI/ML, advanced optimization and control of semiconductor manufacturing processes and systems.
• Experience in working with advanced AI/ML software packages and super‑computing cluster systems, including Hadoop, Spark, Python and Matlab.
• Familiarity with co‑optimization and co‑control of multistage manufacturing systems is a big plus.
• Familiarity with microelectronics packaging and heterogeneous integration is also a big plus.

Salary Range

$70,000 + depending on qualifications

Working Conditions

• May work in standard office conditions.
• May require repetitive use of keyboard at a workstation.
• May require use of manual dexterity.
• May work around chemicals.
• May work around electrical and mechanical hazards.
• Lifting and moving.

Work Shift

• Monday to Friday 40 hours per week.

Required Materials

• Resume/CV
• 3 work references with their contact information; at least one reference should be from a supervisor.
• Letter of interest.

Important for applicants who are NOT current university employees or contingent workers

You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional required materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi‑select additional files. Before submitting your online job application, ensure that ALL required materials have been uploaded.

Once your job application has been submitted, you cannot make changes.

Important for current university employees and contingent workers

As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log‑in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled into your application.

The application is one page and you will be prompted to upload your resume. In addition, you must…