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

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Machine Learning Postdoc information

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$21.7K

$112.5K

$211.7K

How much do machine learning postdoc jobs pay per year?

As of Aug 17, 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:

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.

ASSISTANT PROFESSOR - Advanced Imaging (Neuroimaging)

University Of Texas Southwestern Medical Cent (The

Dallas, TX

Full-time

Medical, Retirement, PTO

Re-posted 16 days ago


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

107th of 887 rated healthcare providers


Job description

The Advanced Imaging Research Center (AIRC) at UT Southwestern Medical Center in Dallas, Texas, invites applications for a tenure-track Assistant Professor position in the field of methodological development for neuroimaging.

Potential topics include but are not limited to the development of innovative neuroimaging data analysis methods for human and pre-clinical applications and / or human 3T and 7T neuroimaging data acquisition methods. Research areas of interest include (i) functional MRI (i.e. Ultra-High resolution/layer specific, networks, novel analysis algorithms, distortion free acquisition); (ii) diffusion weighted MRI (i.e. Advanced modeling, model validation, spinal cord/heart); (iii) susceptibility weighted (SWI), quantitative (t1/t2/mt) and anatomical (Morphometry) MRI (i.e. Processing and quantification, motion correction, parallel transmission); (iv) functional and quantitative perfusion and angiography MRI and (v) machine-learning based reconstruction and analysis approaches. Integration of Neuro MRI with complementary functional neuroimaging methods such as simultaneous EEG or PET or cross-validation against invasive methods to enhance the physiological interpretation of neuroimaging contrasts is also a topic of great interest.

Applicants for this position should have a strong scientific record of accomplishment in neuroimaging methods development including novel data analysis and/or acquisition approaches and/or innovative approaches to validate neuroimaging contrasts supported by respective publications and grants. Experience in supervising graduate students and/or postdoctoral researchers is preferred. Applicants should have a Ph.D. degree in electrical engineering, physics, computational science, biomedical engineering or applied mathematics. Experience in either the development of novel and comprehensive data analysis pipelines or MRI sequence development is required. Faculty are expected to develop an independent, externally-funded research program and actively engage with clinical and basic research faculty across campus to apply the latest neuroimaging technologies to probe human brain function in health and diseases.

Applications should include a letter of interest and a curriculum vitae.

UTSouthwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. Asan equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis ofrace, color, religion, national origin, sex,sexual orientation, gender identity, gender expression,age, disability, genetic information, citizenship status, or veteran status.

This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.

Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.

To learn more about the benefits UT Southwestern offers, visithttps://www.utsouthwestern.edu/employees/hr-resources/

Benefits
    UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
    • PPO medical plan, available day one at no cost for full-time employee-only coverage
    • 100% coverage for preventive healthcare - no copay
    • Paid Time Off, available day one
    • Retirement Programs through the Teacher Retirement System of Texas (TRS)
    • Paid Parental Leave Benefit
    • Wellness programs
    • Tuition Reimbursement
    • Public Service Loan Forgiveness (PSLF) Qualified Employer
    • Learn more about these and other UTSW employee benefits!

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