Entry Level Research Assistant Professor Jobs
New grad research assistant professor jobs open doors for recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio of research projects or internship and teaching experience can matter more than a long resume. Most openings are on-site roles across Education, Science & Research, and Healthcare & Medical Services, with employers like Yeshiva University, University of Arizona, and Loyola University Chicago hiring at this level now.
Find JobsOverview
Open roles22
Top stateTexas
Top employerYeshiva University
Top cityEl Paso, TX
Work type100% On-site
Top industryEducation
Showing 5 of 22+ Entry Level Research Assistant Professor jobs
Assistant Professor of Research - Manufacturing & Industrial Engineering / Institute for Advanced Manufacturing
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Added 3d ago
The University of Texas Rio Grande Valley
Assistant Professor of Research - Manufacturing & Industrial Engineering / Institute for Advanced Manufacturing
Texas
Added 3d ago
Visiting Assistant Professor, Upland Gamebird Research in Arid and Semi-arid Systems
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Added 1w ago
Sul Ross State University
Visiting Assistant Professor, Upland Gamebird Research in Arid and Semi-arid Systems
Alpine, Texas
Added 1w ago
Research Assistant Professor, Department of Microbiology
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Added 2mo ago
University Of Washington
Research Assistant Professor, Department of Microbiology
Seattle, Washington
Added 2mo ago
Associate or Full Professor (Ladder Rank/In-Residence) Urology Benign Translational Research Faculty
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Added 2mo ago
UC San Diego
Associate or Full Professor (Ladder Rank/In-Residence) Urology Benign Translational Research Faculty
San Diego, California
Added 2mo ago
Research Associate/Assistant Professor
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Added 3mo ago
Prairie View A&M University
Research Associate/Assistant Professor
Prairie View, Texas
Added 3mo ago
Added 3d ago
Assistant Professor of Research - Manufacturing & Industrial Engineering / Institute for Advanced Manufacturing
The University of Texas Rio Grande Valley·Texas
Job functions:
Doctoral degree in engineering
Full Time
1,001-5,000 employees
Job Description
Number of Vacancies
1
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 2026-2027 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 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.
- Demonstrated research expertise relevant to AI, digital manufacturing, advanced manufacturing, robotics, automation, or related technologies.
- Evidence of strong scholarly or applied research accomplishments.
- Demonstrated ability or strong potential to develop competitive externally funded proposals.
- Ability to develop multidisciplinary collaborations with academic, government, and industry partners.
- Strong technical, written, and oral communication skills.
Preferred Qualifications
- Demonstrated record of securing external research or workforce-development funding.
- Experience serving as PI, Co-PI, or key personnel on externally funded projects.
- Demonstrated experience developing federal research proposals.
- Experience with agencies and programs supporting advanced manufacturing, AI, defense, energy, workforce development, economic development, or critical materials and rare earth element supply chains.
- Experience building multi-institutional teams and industry partnerships for competitive proposals.
- Experience applying AI and digital technologies to real-world manufacturing problems.
- Experience in rare earth element processing, critical materials engineering, or related supply chain technologies.
- Experience developing hands-on technical training, workforce curricula, microcredentials, apprenticeships, or industry certification programs.
- Strong peer-reviewed publication record and experience mentoring students.
License or Certification Required?
No
Salary
Commensurate with experience.
Desired Start Date
09/01/2026
Posting Detail Information
EEO Statement
It is the policy of The University of Texas Rio Grande Valley to promote and ensure equal employment opportunities for all individuals without regard to race, color, national origin, sex, age, religion, disability, sexual orientation, gender identity or expression, genetic information or protected veteran status. In accordance with the requirements of Title VII of the Civil Rights Act of 1964, the Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Americans with Disabilities Act of 1990, as amended, our University is committed to comply with all government requirements and ensures non-discrimination in its education programs and activities, including employment. We encourage women, minorities and differently abled persons to apply for employment positions of interest.
Open Date
08/21/2026
Close Date
08/25/2026
Additional Information
UTRGV is a distributed institution. As such and as assigned, the position may require presence at multiple locations throughout the Rio Grande Valley. Work is performed primarily in a general office environment. This position is security sensitive and thereby subject to the provisions of the Texas Education Code §51.215. The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.
Special Instructions to Applicants
All applications must be submitted via the UTRGV application portal at https://careers.utrgv.edu. Complete all sections on the application. If you are applying for the first time, please complete all biographical information including address, email and phone number. You may update this at any time by selecting to edit your profile in the application. Incomplete applications will not be considered.
Security sensitive: All UTRGV employees are required to have a criminal background check (CBC). CBCs will be conducted for all candidates invited for an on-campus interview.
Please Note
Texas law requires faculty members whose primary language is not English to demonstrate proficiency in English as determined by a satisfactory paper-based test score of 500 (computer-based of 173 or internet-based of 61) on the Test of English as a Foreign Language (TOEFL) or a satisfactory test score of 6.0 on the International English Language Testing System (IELTS).
Incomplete applications will not be considered. All positions are subject to budget approval.
The University of Texas Rio Grande Valley
Assistant Professor of Research - Manufacturing & Industrial Engineering / Institute for Advanced Manufacturing
Texas
Added 3d ago1,001-5,000 employees
Job functions:
Doctoral degree in engineering
Full Time
Job Description
Number of Vacancies
1
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 2026-2027 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 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.
- Demonstrated research expertise relevant to AI, digital manufacturing, advanced manufacturing, robotics, automation, or related technologies.
- Evidence of strong scholarly or applied research accomplishments.
- Demonstrated ability or strong potential to develop competitive externally funded proposals.
- Ability to develop multidisciplinary collaborations with academic, government, and industry partners.
- Strong technical, written, and oral communication skills.
Preferred Qualifications
- Demonstrated record of securing external research or workforce-development funding.
- Experience serving as PI, Co-PI, or key personnel on externally funded projects.
- Demonstrated experience developing federal research proposals.
- Experience with agencies and programs supporting advanced manufacturing, AI, defense, energy, workforce development, economic development, or critical materials and rare earth element supply chains.
- Experience building multi-institutional teams and industry partnerships for competitive proposals.
- Experience applying AI and digital technologies to real-world manufacturing problems.
- Experience in rare earth element processing, critical materials engineering, or related supply chain technologies.
- Experience developing hands-on technical training, workforce curricula, microcredentials, apprenticeships, or industry certification programs.
- Strong peer-reviewed publication record and experience mentoring students.
License or Certification Required?
No
Salary
Commensurate with experience.
Desired Start Date
09/01/2026
Posting Detail Information
EEO Statement
It is the policy of The University of Texas Rio Grande Valley to promote and ensure equal employment opportunities for all individuals without regard to race, color, national origin, sex, age, religion, disability, sexual orientation, gender identity or expression, genetic information or protected veteran status. In accordance with the requirements of Title VII of the Civil Rights Act of 1964, the Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Americans with Disabilities Act of 1990, as amended, our University is committed to comply with all government requirements and ensures non-discrimination in its education programs and activities, including employment. We encourage women, minorities and differently abled persons to apply for employment positions of interest.
Open Date
08/21/2026
Close Date
08/25/2026
Additional Information
UTRGV is a distributed institution. As such and as assigned, the position may require presence at multiple locations throughout the Rio Grande Valley. Work is performed primarily in a general office environment. This position is security sensitive and thereby subject to the provisions of the Texas Education Code §51.215. The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.
Special Instructions to Applicants
All applications must be submitted via the UTRGV application portal at https://careers.utrgv.edu. Complete all sections on the application. If you are applying for the first time, please complete all biographical information including address, email and phone number. You may update this at any time by selecting to edit your profile in the application. Incomplete applications will not be considered.
Security sensitive: All UTRGV employees are required to have a criminal background check (CBC). CBCs will be conducted for all candidates invited for an on-campus interview.
Please Note
Texas law requires faculty members whose primary language is not English to demonstrate proficiency in English as determined by a satisfactory paper-based test score of 500 (computer-based of 173 or internet-based of 61) on the Test of English as a Foreign Language (TOEFL) or a satisfactory test score of 6.0 on the International English Language Testing System (IELTS).
Incomplete applications will not be considered. All positions are subject to budget approval.
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Entry Level Research Assistant Professor Jobs: Frequently Asked Questions
How do I get an entry level research assistant professor job?
Hiring committees at this level look for candidates with a relevant advanced degree in progress or recently completed, a demonstrated research focus, and at least some teaching or mentorship experience from graduate work. Strong writing samples, a clear dissertation topic or research agenda, and faculty references carry significant weight. Applying to postdoctoral fellowship programs or visiting instructor roles first can also build the credentials that entry level academic hiring committees want to see.
Which companies hire entry level research assistant professors?
Companies hiring entry level research assistant professors right now include Yeshiva University, University of Arizona, and Loyola University Chicago, based on current listings on Migrate Mate as of August 2026. At this level, hiring typically comes from research universities, liberal arts colleges, medical schools, and private research institutes that are actively expanding their departments or filling newly funded positions.
Are there remote entry level research assistant professor jobs?
Yes, though most academic research roles involve some on-campus presence for lab work, teaching, and collaboration. About 0% of entry level research assistant professor openings are remote or hybrid as of August 2026, and those positions tend to concentrate in fields where research and instruction can be conducted online, such as data science, public health, or certain social sciences.
Are these new grad research assistant professor jobs?
Yes, many of the roles listed here are new grad and junior positions that welcome recent graduates and candidates just completing a doctoral program. A posting is typically new-grad friendly when it accepts zero to two years of post-degree experience, counts graduate teaching assistantships or postdoctoral work, and does not require an established publication record beyond what a recent graduate would have built during their studies.
Which industries hire the most entry level research assistant professors?
Entry Level research assistant professor roles concentrate in Education, Science & Research, and Healthcare & Medical Services, based on current listings on Migrate Mate as of August 2026. Those sectors drive hiring at this level because they rely on federally funded research programs, active grant pipelines, and growing enrollment that creates a sustained need for early-career faculty who can both teach and contribute to active research projects.