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Machine Learning Postdoc Jobs in Dallas, TX (NOW HIRING)

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How much do machine learning postdoc jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning postdoc in Dallas, TX is $112,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,233.00 and $154,924.00 per year, depending on experience, location, and employer.

What is a machine learning postdoc?

A Machine Learning Postdoc is a research-focused position typically held after earning a Ph.D. in a related field. It involves conducting advanced research in machine learning, developing new algorithms, and publishing in top-tier conferences and journals. Postdocs often collaborate with faculty, industry partners, and other researchers to advance the state of the art in AI. The role may include mentoring students and contributing to grant proposals. It serves as a bridge between doctoral studies and a long-term academic or industry research career.

What are the typical responsibilities and collaborative aspects of a machine learning postdoc?

A Machine Learning Postdoc typically conducts original research, develops and tests new algorithms, and contributes to academic publications or patent applications. Daily tasks often involve data analysis, model building, and experimentation using advanced computational tools. Collaboration is key in this role, as postdocs frequently work alongside faculty, graduate students, and external industry partners to advance research objectives. Additionally, they may mentor junior researchers or students, present at conferences, and participate in grant writing or project planning. This mix of independent research and team collaboration fosters both professional growth and impactful scientific advancements.

What are the key skills and qualifications needed to thrive in a machine learning postdoc position?

To thrive as a Machine Learning Postdoc, you need a deep understanding of machine learning algorithms, statistical modeling, and research methodology, typically supported by a completed PhD in a related field. Proficiency with programming languages like Python or R, experience with ML libraries (e.g., TensorFlow or PyTorch), and familiarity with large-scale datasets and cloud computing platforms are important. Strong analytical thinking, effective communication, and the ability to collaborate across multidisciplinary teams are standout soft skills in this position. These qualifications ensure innovative research contributions, successful project execution, and effective dissemination of findings in both academic and applied settings.

What are the most commonly searched types of Machine Learning Postdoc jobs in Dallas, TX?

The most popular types of Machine Learning Postdoc jobs in Dallas, TX are:

What are popular job titles related to Machine Learning Postdoc jobs in Dallas, TX?

For Machine Learning Postdoc jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Postdoc jobs in Dallas, TX look for?

The top searched job categories for Machine Learning Postdoc jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Machine Learning Postdoc jobs?

Cities near Dallas, TX with the most Machine Learning Postdoc job openings:

Machine Learning Postdoc jobs near you
Infographic showing various Machine Learning Postdoc job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $112,490 per year, or $54.1 per hour.

Postdoctoral Research Associate

The University of Texas at Arlington

Arlington, TX • On-site

Full-time

Medical, Retirement, PTO

Re-posted 28 days ago

University Of Texas At Arlington rating

7.7

Company rating: 7.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

260th of 618 rated colleges and universities

Job description

Posting Details
Position Information
Posting Number
F00785P
Position Title
Postdoctoral Research Associate
Department
Electrical Engineering
Location
Arlington
Job Family
Faculty
Position Status
Full-time
Rank
Post-Doc
Work Hours
Standard
Open to
External and Internal
FLSA
Exempt
Duration
Funding expected to continue
Pay Basis
Monthly
Benefits Eligible
Yes
Job Summary
The Electrical Department in the College of Engineering, at the University of Texas at Arlington, invites applications for a Postdoctoral Research Associate, Non-Tenure Status.
Benefits at UTA
We are proud to offer a comprehensive benefits package to all our employees at the University.
To help you understand the full value of these benefits, we have created a tool that calculates the total worth of your compensation package. This tool takes into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link:
https://resources.uta.edu/hr/services/records/compensation-tools.php
CBC Requirement
It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant who is under final consideration for employment with the University.
This position may have access to critical infrastructure as defined by Section 113.001(2) of the Texas Business and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive Order GA-48. By assuming this position, and if you have access to critical infrastructure, you authorize the University to conduct routine background checks.
Essential Duties and Responsibilities
The candidate should be able to work independently under the supervision of Professor Weidong Zhou. Major duties are: (1) To lead and carry out sponsored research projects related to photonic crystal optoelectronic and nanophotonic devices and systems; (2) To provide project management including scheduling, team management, and reporting; (3) To present and publish the research results.
Required Qualifications
Requires a PhD degree in Electrical Engineering or related field, with strong theoretical and experimental background in nanophotonics and optoelectronics devices. Extensive micro- and nano-fabrication experience is a must.
Preferred Qualifications
Special Conditions for Eligibility
Department Information
The Department of Electrical Engineering at UTA is part of the College of Engineering, one of the largest and most comprehensive engineering schools in Texas. The department leads innovation in semiconductors, photonics, power systems, autonomous technologies, and healthcare. Supported by top-tier facilities and strong institutional backing, students gain real-world experience through research, internships, and industry-sponsored capstone projects. With a versatile curriculum spanning software, systems design, nanofabrication, and machine learning, the program prepares graduates to drive progress in fields like renewable energy, 5G, cyber-physical systems, and smart infrastructure.
University Information
The University of Texas at Arlington (UTA) is located in the heart of the Dallas-Fort Worth-Arlington metroplex, a vibrant and diverse metropolitan area that is home to over 7 million people, one of the fastest-growing tech economies in the United States, and a wide array of arts, entertainment, and cultural activities. As a comprehensive teaching, research, and public service institution, UTA is dedicated to the advancement of knowledge through scholarship and creative work. With an enrollment of more than 42,000 students, UTA is the second largest in the University of Texas System. As a result of its combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 "Very High Research Activity" institution and nationally recognized for its commitment to student success and service. It ranks No. 5 in Military Times' "Best for Vets: Colleges" and is the top university in North Texas for its graduates' salaries (The Wall Street Journal). UTA is designated as both a Hispanic-Serving Institution and an Asian American and Native American Pacific Islander-Serving Institution and is No. 6 for undergraduate ethnic diversity in the United States (U.S. News & World Report, 2023). With a global alumni network of approximately 280,000 - including leaders at many of the 24 Fortune 500 companies headquartered in North Texas - UTA contributes an estimated $29 billion annually to the Texas economy.
UTA is expanding its regional footprint by building a regional campus, called UTA West, in Parker County on the far west side of Fort Worth. It is scheduled to open in fall 2028. This initiative aligns with the university's strategic growth and commitment to serving the broader community. Furthermore, UTA has launched the RISE 100 initiative, aiming to recruit 100 new tenure-system faculty to strengthen its research enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100.
This is an exciting time to join UTA and contribute to its bold vision for the future.
Working Title
EEO Statement
It is the policy of The University of Texas at Arlington (UTA or The University) to provide an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of race, color, national origin, religion, age, sex, sexual orientation, pregnancy, disability, genetic information, and/or veteran status. The University also prohibits discrimination on the basis of gender identity, and gender expression. Retaliation against persons who oppose a discriminatory practice, file a charge of discrimination, or testify for, assist in, or participate in an investigative proceeding relating to discrimination is prohibited. Constitutionally-protected expression will not be considered discrimination or harassment under this policy. It is the responsibility of all departments, employees, and students to ensure the University's compliance with this policy.
ADA Accommodations
The University of Texas at Arlington is committed to providing reasonable accommodation to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing or otherwise participating in the employee selection process, please direct your inquiries to 817-272-5554 or email ADADocs@uta.edu.
Posting Detail Information
Number of Vacancies
1
Desired Start Date
09/01/2026
Open Date
08/03/2026
Review Start Date
Open Until Filled
Yes
Special Instructions to Applicants
To apply, applicants should go to https://uta.peopleadmin.com/postings/34645 and submit the following materials:
Required Documents:
  • Curriculum Vitae
  • Cover Letter
  • Contact information for 2 references

Review of applications will begin immediately and will continue until the position is filled. Applicants are encouraged to apply early for the best consideration.
Questions may be addressed to Dr. Weidong Zhou at wzhou@uta.edu.
For more information about UTA, please visit: http://www.uta.edu/uta.

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