Postdoctoral Fellow - DD

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 Heterogenous 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

Job Details:

General Notes

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.

Employment Eligibility
:
Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation.

Equal Opportunity Employer
:
The University of Texas at Austin, as an equal opportunity/ affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender…