Assistant Professor of Research - Manufacturing & Industrial Engineering / Institute for Advanced Manufacturing

Job Class Code:
FLSA:
Posting Number: FRGV2044
Location: Rio Grande Valley, Texas
Division/Organization: Provost - Academic Affairs
Appointment Period for Non-Tenure Position: 3 years
Tenure Status: Non Tenure Track
FTE: 1.0

Scope of Job:
We seek applicants who are dedicated to serving The University of Texas Rio Grande Valley's student body as an Assistant Professor of Research at in the Department of Manufacturing & Industrial Engineering and the Institute for Advanced Manufacturing (IAM) beginning in the [contact details available in the full listing] academic year. This position is considered grant funded and is contingent upon availability of funds.

The Institute for Advanced Manufacturing (IAM) at The University of Texas Rio Grande Valley (UTRGV) seeks an Assistant Professor for Research to expand IAM's externally funded research and workforce-development portfolio, with particular emphasis on artificial intelligence (AI), digital manufacturing, smart manufacturing, robotics and automation, rare earth element manufacturing, and advanced manufacturing workforce development.

The priority of this position is the development and acquisition of external funding. The successful candidate will be expected to proactively identify funding opportunities, develop competitive proposals, establish multidisciplinary teams and external partnerships, and serve as Principal Investigator (PI), Co-Principal Investigator (Co-PI), or key technical contributor on externally funded projects.

The faculty member will work closely with IAM leadership, affiliated faculty, research staff, industry, national laboratories, government agencies, universities, workforce organizations, community colleges, and other partners to develop major research, education, and workforce-development initiatives.

Responsibilities will include:

• External funding and proposal development
• AI, Digital Manufacturing, and Rare Earth Manufacturing Research
• Advanced manufacturing workforce development
• Industry engagement and technology transition
• Sponsored project execution and management
• Student research and mentoring
• Collaboration and strategic program development

About UTRGV: UTRGV serves the Rio Grande Valley and beyond via an innovative and unique multicultural education dedicated to student access and success. By championing leading research, healthcare, and application of university discoveries, we support sustainable development, community engagement, and well-being. The University of Texas Rio Grande Valley (UTRGV) is committed to building and sustaining a highly qualified and talented faculty to pursue excellence in everything that we do, including teaching, research, and service.

Drawing on our unique identity as the leading Hispanic-Serving Institution in a bilingual and bicultural environment, UTRGV will promote student access and success by building from strength in education and creating a vibrant campus experience. By 2027, we will accelerate transformation in the Rio Grande Valley and beyond by driving meaningful advancements in research and creative works, expanding access to high-quality and affordable healthcare, and fostering authentic community engagement and integration.

UTRGV is a distributed campus, one university spanning four counties and multiple locations. Our purpose is to be a university for the entire Rio Grande Valley and beyond. Over 91% of the students enrolled at UTRGV identify as Hispanic, making UTRGV one of the top 3 universities with the highest percentage of Hispanic students. For additional information, please visit UTRGV website.

Minimum Qualifications:
Applicants must have earned a Ph.D. in Engineering, Computer Science, Artificial Intelligence or a related field from an accredited university (at least conferred before the start date of September 1, 2026). Applicants must demonstrate evidence of potential for independent research, skill in interdisciplinary research and collaboration, along with the potential to develop an outstanding research program and high-profile publications, as well as a successful record of external funding.

Discipline Specific Required Qualifications:

• Ph.D. in Computer Engineering, Computer Science, Artificial Intelligence or a closely related field.

Assistant Professor of Research - Manufacturing & Industrial Engineering / Institute for Advanced Manufacturing

Job Class Code:
FLSA:
Posting Number: FRGV2044
Location: Rio Grande Valley, Texas
Division/Organization: Provost - Academic Affairs
Appointment Period for Non-Tenure Position: 3 years
Tenure Status: Non Tenure Track
FTE: 1.0

Scope of Job:
We seek applicants who are dedicated to serving The University of Texas Rio Grande Valley's student body as an Assistant Professor of Research at in the Department of Manufacturing & Industrial Engineering and the Institute for Advanced Manufacturing (IAM) beginning in the [contact details available in the full listing] academic year. This position is considered grant funded and is contingent upon availability of funds.

The Institute for Advanced Manufacturing (IAM) at The University of Texas Rio Grande Valley (UTRGV) seeks an Assistant Professor for Research to expand IAM's externally funded research and workforce-development portfolio, with particular emphasis on artificial intelligence (AI), digital manufacturing, smart manufacturing, robotics and automation, rare earth element manufacturing, and advanced manufacturing workforce development.

The priority of this position is the development and acquisition of external funding. The successful candidate will be expected to proactively identify funding opportunities, develop competitive proposals, establish multidisciplinary teams and external partnerships, and serve as Principal Investigator (PI), Co-Principal Investigator (Co-PI), or key technical contributor on externally funded projects.

The faculty member will work closely with IAM leadership, affiliated faculty, research staff, industry, national laboratories, government agencies, universities, workforce organizations, community colleges, and other partners to develop major research, education, and workforce-development initiatives.

Responsibilities will include:

• External funding and proposal development
• AI, Digital Manufacturing, and Rare Earth Manufacturing Research
• Advanced manufacturing workforce development
• Industry engagement and technology transition
• Sponsored project execution and management
• Student research and mentoring
• Collaboration and strategic program development

About UTRGV: UTRGV serves the Rio Grande Valley and beyond via an innovative and unique multicultural education dedicated to student access and success. By championing leading research, healthcare, and application of university discoveries, we support sustainable development, community engagement, and well-being. The University of Texas Rio Grande Valley (UTRGV) is committed to building and sustaining a highly qualified and talented faculty to pursue excellence in everything that we do, including teaching, research, and service.

Drawing on our unique identity as the leading Hispanic-Serving Institution in a bilingual and bicultural environment, UTRGV will promote student access and success by building from strength in education and creating a vibrant campus experience. By 2027, we will accelerate transformation in the Rio Grande Valley and beyond by driving meaningful advancements in research and creative works, expanding access to high-quality and affordable healthcare, and fostering authentic community engagement and integration.

UTRGV is a distributed campus, one university spanning four counties and multiple locations. Our purpose is to be a university for the entire Rio Grande Valley and beyond. Over 91% of the students enrolled at UTRGV identify as Hispanic, making UTRGV one of the top 3 universities with the highest percentage of Hispanic students. For additional information, please visit UTRGV website.

Minimum Qualifications:
Applicants must have earned a Ph.D. in Engineering, Computer Science, Artificial Intelligence or a related field from an accredited university (at least conferred before the start date of September 1, 2026). Applicants must demonstrate evidence of potential for independent research, skill in interdisciplinary research and collaboration, along with the potential to develop an outstanding research program and high-profile publications, as well as a successful record of external funding.

Discipline Specific Required Qualifications:

• Ph.D. in Computer Engineering, Computer Science, Artificial Intelligence or a closely related field.