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Machine Learning Professor Jobs in Texas (NOW HIRING)

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Machine Learning Professor information

What does a machine learning professor do?

A Machine Learning Professor teaches university-level courses on machine learning, data science, and related topics. They conduct original research in the field, often publishing their findings in academic journals and presenting at conferences. In addition to lecturing, they mentor students, supervise theses or dissertations, and may collaborate with industry partners on research projects. Their work helps advance the understanding and applications of machine learning.

What are the key skills and qualifications needed to thrive as a machine learning professor, and why are they important?

To thrive as a Machine Learning Professor, you need deep expertise in machine learning algorithms, mathematics, and data science, typically supported by a Ph.D. in computer science or a related field. Familiarity with programming languages like Python and R, as well as tools such as TensorFlow, PyTorch, and academic research platforms, is essential. Exceptional communication, mentorship abilities, and enthusiasm for teaching help inspire and guide students and peers. These skills ensure effective research output, high-quality teaching, and the development of future leaders in the field.

How does a machine learning professor typically balance research, teaching, and mentorship responsibilities?

Machine Learning Professors usually split their time between conducting original research, teaching undergraduate and graduate courses, and mentoring students. Balancing these responsibilities can be challenging, particularly when managing multiple research projects and supervising student theses. Professors often collaborate with industry partners and other academic departments, which enhances research opportunities but also adds to their workload. Effective time management and prioritization are key to thriving in this dynamic environment, and universities often provide some flexibility in teaching loads or research support to help maintain this balance.
Infographic showing various Machine Learning Professor job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Tenure-Track: Assistant or Associate Professor - Thermo-Fluids

College Station, TX • On-site

Texas A&M University
Colleges, Universities, and Professional Schools • 1 - 5K employees

Full-time

Re-posted 21 days ago


Key responsibilities

  • Teach, advise, and mentor graduate students in the department.

  • Develop an independent, externally funded research program in thermo-fluids science and engineering.

  • Participate in all aspects of the department's activities and serve the profession.


Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz


Job description

Description
The J. Mike Walker '66 Department of Mechanical Engineering in the College of Engineering at Texas A&M University invites applications for a tenure-track faculty position with a nine-month academic appointment, and the possibility of an additional summer appointment contingent upon need and availability of funds, beginning fall 2027. Applicants will be considered for the faculty titles of Assistant Professor or Associate Professor depending on qualifications and credentials. The department will consider candidates with demonstrated expertise and experience in thermo-fluids science and engineering, encompassing both fundamental and applied research in fluid mechanics, heat transfer, and energy-related systems. Particular interest is directed toward researchers advancing the understanding, modeling, experimentation, prediction, and control of complex fluid-thermal phenomena. Fundamental areas of interest include turbulence, flow instabilities, multiphase flows, environmental flows, combustion, reacting flows, thermal management, and hypersonic propulsion. The department welcomes expertise in both computational and experimental approaches, including computational fluid dynamics, data-driven and machine learning methods, reduced-order modeling, uncertainty quantification, and advanced measurement and diagnostic techniques. Applications may span aerospace and propulsion systems, energy conversion and storage, advanced manufacturing, defense technologies, and emerging engineering systems where fluid, thermal, and reacting-flow processes play a critical role. Successful candidates will join a collaborative and interdisciplinary community of faculty addressing pressing challenges in energy, transportation, and advanced engineering systems, with the goal of developing transformative scientific insights and impactful engineering solutions.
The successful applicant will be required to teach, advise and mentor graduate students, develop an independent, externally funded research program, participate in all aspects of the department's activities, and serve the profession. Strong written and verbal communication skills are required. Applicants must have an earned doctorate in mechanical engineering or a closely related engineering or science discipline. Applicants should consult the department's website to review our academic and research programs (http://engineering.tamu.edu/mechanical).
The J. Mike Walker '66 Department of Mechanical Engineering at Texas A&M University in College Station, Texas has a strong local, national, and international reputation as a premier undergraduate and graduate education and research program. The department's undergraduate program is ranked No. 7 and its graduate program is ranked No. 6 among public institutions by U.S. News & World Report. The department ranks No. 1 nationally among public mechanical engineering programs, according to the ShanghaiRanking global ranking of academic subjects. The department has 76 tenured or tenure track faculty and 25 research and teaching professionals that support our teaching, research, and service missions. The department has approximately 1,500 undergraduate students (sophomore-senior) and over 325 Ph.D. students critical to our mission. Our doctoral program produces highly trained mechanical engineers for placement as professors and researchers at competitive universities, in industries in Texas, the nation, and internationally, and as researchers in national laboratories. There is also a large M.S. program with approximately 175 students who are an integral part of the research enterprise of the department. Mechanical engineering graduate students are supported by a broad spectrum of funding sources, including federal and international research grants, industrial contracts, and through major research centers, such as the Turbomachinery Laboratory, Center for Autonomous Vehicles and Sensor Systems, Center of Innovation in Mechanics for Design, INVENT Lab, StarLab and the Energy Systems Laboratory. We also have about 75 Master of Engineering students enrolled.
Texas A&M University is located in the twin cities of Bryan and College Station, Texas, with a population of more than 280,000, and is conveniently centrally located in a triangle formed by Dallas, Houston and Austin. Texas A&M has more than 74,000 graduate and undergraduate students enrolled at the College Station campus. Research expenditures total more than $922 million annually, ranking Texas A&M in the top tier of universities nationwide. The Texas A&M University System has an endowment valued at more than $13.6 billion and Texas A&M University ranks 3rd among U.S. public universities and 8th overall. With more than 820 faculty members and over 24,700 students, the College of Engineering is one of the largest engineering schools in the country. The college is ranked 9th in graduate studies and 9th in undergraduate programs among public institutions by U.S. News & World Report. The college is also ranked 1st in research expenditures by the American Society for Engineering Education. Texas A&M is aware that attracting and retaining exceptional faculty often depends on meeting the needs of two careers and having policies that contribute to work-life balance.
Qualifications
Applicants must have an earned doctorate in mechanical engineering or a closely related engineering or science discipline.
Application Instructions
Applicants must submit a cover letter, curriculum vitae, and personal statement to include philosophy and plans for research, teaching, and service as applicable, and a list of four references (including postal addresses, phone numbers and email addresses) by applying for this specific position at apply.interfolio.com/189116. Full consideration will be given to applications received by December 1, 2026. Applications received after that date may be considered until positions are filled. It is anticipated the appointment will begin in fall 2027.
For more information, contact Rebecca Simon at rebeccasimon@tamu.edu.

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