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Control Engineer Postdoc Jobs in Austin, TX (NOW HIRING)

Control Engineer Postdoc information

See Austin, TX salary details

$35.7K

$80.3K

$125.4K

How much do control engineer postdoc jobs pay per year?

As of Jun 16, 2026, the average yearly pay for control engineer postdoc in Austin, TX is $80,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Control Engineer Postdoc, and why are they important?

To thrive as a Control Engineer Postdoc, you need an advanced degree (PhD) in control engineering or a related field, with strong expertise in systems modeling, control theory, and applied mathematics. Proficiency in simulation tools such as MATLAB/Simulink and experience with programming languages like Python or C++, as well as familiarity with hardware-in-the-loop and embedded systems, are typically required. Strong problem-solving skills, effective communication, and the ability to work independently and collaboratively make a candidate stand out. These skills and qualities are critical for conducting advanced research, developing innovative control solutions, and contributing to interdisciplinary projects.

What is the difference between Control Engineer Postdoc vs Control Engineer?

AspectControl Engineer PostdocControl Engineer
Required CredentialsPhD in Engineering or related field, research experienceBachelor's or Master's in Engineering, professional experience
Work EnvironmentAcademic research labs, universitiesIndustrial settings, manufacturing, automation companies
Employer & Industry UsageUniversities, research institutionsManufacturing firms, tech companies
Common Search & ComparisonResearch-focused roles, academic positionsIndustry-focused roles, engineering positions

The main difference between a Control Engineer Postdoc and a Control Engineer lies in their focus and work environment. A Control Engineer Postdoc is primarily involved in academic research, requiring a PhD and working in universities or research labs. In contrast, a Control Engineer typically works in industry, applying engineering principles in manufacturing or automation settings. Both roles require a strong background in control systems, but their career paths and work environments differ significantly.

What are Control Engineer Postdocs?

Control Engineer Postdocs are researchers with a Ph.D. who specialize in the design, analysis, and implementation of control systems. They work in academic or industrial research settings, often focusing on advancing knowledge in areas like automation, robotics, or process control. Their responsibilities include conducting experiments, developing new algorithms or methods, publishing research findings, and sometimes mentoring students. This position is typically a temporary role intended to further develop expertise before pursuing a permanent academic or industry position.

What are some common challenges faced by Control Engineer Postdocs when transitioning from academia to industry-focused projects?

One common challenge for Control Engineer Postdocs moving into industry-oriented projects is adapting to faster-paced development cycles and stricter project deadlines. Unlike academic research, industry projects often require practical, scalable solutions rather than theoretical proofs. Additionally, postdocs may need to collaborate closely with multidisciplinary teams, including software developers, product managers, and hardware engineers, making strong communication and teamwork skills essential. This transition also often involves working with proprietary tools and adhering to industry standards, which may require additional training.
What are popular job titles related to Control Engineer Postdoc jobs in Austin, TX? For Control Engineer Postdoc jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Control Engineer Postdoc jobs in Austin, TX look for? The top searched job categories for Control Engineer Postdoc jobs in Austin, TX are:
What cities near Austin, TX are hiring for Control Engineer Postdoc jobs? Cities near Austin, TX with the most Control Engineer Postdoc job openings:

$70K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


University Of Texas at Austin rating

8.1

Company rating: 8.1 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

130th of 537 rated colleges and universities


Job description

Job Posting Title:
Postdoctoral Fellow - DD
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Hiring Department:
Texas Institute for Electronics
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Position Open To:
All Applicants
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Weekly Scheduled Hours:
40
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FLSA Status:
To Be Determined at Offer
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Earliest Start Date:
Ongoing
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Position Duration:
Expected to Continue
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Location:
AUSTIN, TX
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Job Details:
General Notes
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.
Join the Texas Institute for Electronics (TIE) and help us push the boundaries in critical semiconductor domains, including advanced packaging, with the aim of reestablishing U.S. prominence in semiconductor manufacturing.
With over $1 billion in funding from the US DoD and the state of Texas, we're at the forefront of creating cutting-edge semiconductor manufacturing equipment and processes that will set the course for future advancements in semiconductor logic, memory, heterogeneous integration, chip cooling and more. Situated in the heart of Austin - named "America's Coolest City" by Expedia and "The Best Place to Live in the U.S." by U.S. News and World Report - the Texas Institute for Electronics embodies the city's innovative spirit.
UT Austin, recognized by Forbes as one of America's Best Large Employers, provides outstanding employee benefits and total rewards packages that include:
  • Competitive health benefits (employee premiums covered at 100%, family premiums at 50%)
  • Voluntary Vision, Dental, Life, and Disability insurance options
  • Generous paid vacation, sick time, and holidays
  • Teachers Retirement System of Texas, a defined benefit retirement plan, with 8.25% employer matching funds
  • Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b)
  • Flexible spending account options for medical and childcare expenses
  • Robust free training access through LinkedIn Learning plus professional conference opportunities
  • Tuition assistance
  • Expansive employee discount program including athletic tickets
  • Free access to UT Austin's libraries and museums with staff ID card
  • Free rides on all UT Shuttle and Austin CapMetro buses with staff ID card
  • For more details, please see: Benefits | Human Resources and UT Austin Employee Experience | Human Resources

Must be authorized to work in the United States on a full-time basis for any employer without sponsorship.
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 in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
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.
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
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 identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
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E-Verify:
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
  • E-Verify Poster (English and Spanish) [PDF]
  • Right to Work Poster (English) [PDF]
  • Right to Work Poster (Spanish) [PDF]

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Compliance:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

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