Demo

Tenured: Associate Professor or Professor

Texas A&M University
Houston, TX Full Time
POSTED ON 2/25/2025
AVAILABLE BEFORE 5/22/2025

The  School of Engineering Medicine (SEM)  at Texas A&M University (TAMU) invites applications for a full-time, tenure review upon hire, faculty position at the associate professor or professor level, specializing in Artificial Intelligence (AI) and Machine Learning (ML) with a focus on clinical and medical applications. This is a full-time, 9-month position with a start date in the Fall of 2025 or until the vacancy is filled. We are seeking an innovative researcher and educator to join our dynamic team in advancing AI / ML methodologies to address critical challenges in healthcare.

The successful candidate will develop a cutting-edge, externally funded research program, teach and mentor graduate and medical students, and engage in interdisciplinary collaborations at the intersection of engineering and medicine.

About the School of Engineering Medicine :

The School of Engineering Medicine is a pioneer in translational medicine and research. Currently, SEM houses the EnMed medical educational program (), an innovative program that represents a partnership among the Texas A&M College of Engineering (COE), Texas A&M College of Medicine (COM), and Houston Methodist Hospital (HMH). Each of these partners has an outstanding national ranking and offer state-of-the-art facilities for education and research. In addition, TAMU, SEM, and HMH provide excellent support for innovation and entrepreneurship. Students applying to the EnMed program must have an undergraduate degree in an engineering or computer science discipline and meet the prerequisites required by COM and COE. EnMed is the nation’s only program to award both a Doctor of Medicine (MD) and a Master of Engineering in Innovation in Medicine degree within four years.

About the Location :

This position is based in the EnMed Tower, adjacent to the Texas Medical Center (TMC) in Houston. The TMC, the largest medical center in the world, hosts 21 hospitals and 8 specialty institutions, including the largest pediatric and cancer hospitals. The TMC ecosystem is also a global hub for medical technology innovation, featuring numerous startups, incubators, accelerators, and research institutions.

Position Responsibilities :

  • Develop and maintain a high-impact, externally funded research program using AI / ML to solve healthcare challenges.
  • Teach engineering- and innovation-focused courses to medical and graduate students.
  • Mentor graduate students and medical students in research and innovation.
  • Collaborate with clinicians, industry partners, and multidisciplinary teams to translate research into practice.
  • Contribute to the department and profession through service activities.

Preference will be given to candidates with a strong interest in collaborative research with clinicians and a demonstrated ability to bridge the gap between engineering and medicine.

About Texas A&M University :

Texas A&M University is the largest university in Texas and consistently ranks among the top research universities in the United States. With annual research expenditures exceeding $1 billion, the university fosters a culture of innovation and interdisciplinary collaboration. Its $18 billion endowment supports exceptional faculty, cutting-edge research, and comprehensive resources for work-life balance.

  • Required : A Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, Health Informatics, or a closely related field.A strong record of impactful research with evidence of external funding.Demonstrated ability to collaborate with clinicians, industrial partners, and multidisciplinary teams
  • Preferred :
  • Experience teaching student populations from diverse engineering backgrounds.Proven success in applying AI / ML methodologies to clinical or medical challenges.
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