AMVETS Jobs

Title Information

Faculty TitleAssistant Professor

Job Class Code10031

FLSAExempt

Position Information

Posting NumberFRGV1540

Working TitleAssistant/Associate Professor of Mechanical Engineering

Number of Vacancies1

LocationRio Grande Valley

Division/OrganizationProvost - Academic Affairs

Appointment Period for Non-Tenure Position

Tenure StatusTenure Track

FTE1.0

Scope of Job

The College of Engineering and Computer Science at the University of Texas Rio Grande Valley ( UTRGV ) seeks applicants for multiple faculty positions for a college-wide cluster hire in the broad areas of machine learning, artificial intelligence, and data science with applications in autonomous systems, bioinformatics, manufacturing, energy systems, sensing and condition monitoring, robotics, wireless systems, and other emerging technology fields. Successful candidates will contribute to one or more of the following research centers in the College of Engineering & Computer Science: The Center for Advanced Manufacturing Innovation and Cyber Systems ( CAMICS ), the Center for Nanotechnology, the Industrial Assessment Center, the NSF Center for Multidisciplinary Research Excellence in Cyber-Physical Infrastructure Systems ( MECIS ), and the University Transportation Center for Railway Safety ( UTCRS ). The college hosts an interdisciplinary Ph.D. program in materials science and engineering, and a Ph.D. program in computer science with interdisciplinary applications expected in Fall 2024. For further information regarding UTRGV and the College, please visit our websites at http://www.utrgv.edu/cecs/. UTRGV faculty will be expected to demonstrate a strong commitment to student success, advancing the university, college, and program missions, and promoting access to postsecondary education to a diverse student body at UTRGV , one of the largest and most successful Hispanic-serving emerging research institutions in the U.S.A.

The Department of Mechanical Engineering at UTRGV has an enrollment of almost 1000 undergraduate and 75 graduate students. The Department offers an ABET -accredited Bachelor of Science, Master of Science degree in Mechanical Engineering, Master of Science degree in Biomedical Engineering as well as a PhD degree in Material Science & Engineering. For further information regarding UTRGV and the Mechanical Engineering Department, please visit our websites athttp://www.utrgv.edu/mece/.

For priority consideration, applications must be received by November 1, 2023. Applications will continue to be reviewed until positions are filled. A complete application will include the following required documents: Curriculum Vitae, Unofficial Transcripts, List of 3 References, Letter of Interest, Research Statement, and Teaching Philosophy.

Minimum Qualifications

Applicants must have an earned Ph.D. in Mechanical Engineering or a related field from an accredited university(at least conferred before the start date of September 1, 2024). Prospective candidates in all mechanical engineering areas are strongly encouraged to apply.

Discipline Specific Required Qualifications

Discipline specific required qualifications include: 1) evidence of high-quality research in machine learning, artificial intelligence, data science, and/or intelligent engineering systems with applications in Mechanical Engineering, 2) evidence of a strong potential for obtaining funding and supporting graduate students, and 3) experience and/or demonstrated ability teaching undergraduate and graduate courses in mechanical engineering. Additionally, candidates are expected to support the master’s programs in mechanical engineering and the PhD program in material science and engineering.

Preferred Qualifications

Priority will be accorded to applicants possessing expertise in Artificial Intelligence and/or Machine Learning as applied to the field of mechanical engineering. For this position, prior postdoctoral research experience is preferred. Strong communication skills and the capacity to collaborate effectively within a team are also highly desirable. Additional preferred qualification include: 1) experience and/or demonstrated ability developing and teaching courses integrating machine learning, artificial intelligence, data science, and/or intelligent engineering systems within the context of mechanical engineering applications, 2) experience and/or demonstrated ability to lead and propose new research projects and proposals to attract external federal, state, or private funding, such as NSF , DoD, DOE , DARPA , NIH , USDOT , NASA , or others, 3) experience and/or demonstrated ability teaching courses in dynamic systems, modeling of physical systems, and control systems, (4) experience and/or demonstrated ability working with undergraduate and graduate engineering students, and (5) demonstrated ability to play a collaborative role as a team member in initiatives for partnerships with schools, community colleges, government agencies, and industry to create an eco-system that will bring economic prosperity to the Rio Grande Valley.

License or Certification Required?No

SalaryCommensurate with Qualifications and Experience

Desired Start Date09/01/2024

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 Date09/18/2023

Close Date

Additional Information

The University of Texas Rio Grande Valley ( UTRGV ) was created by the Texas Legislature in 2013 as the first major public university of the 21st century in Texas. This transformative initiative provided the opportunity to expand educational opportunities in the Rio Grande Valley, including a new School of Medicine, and made it possible for residents of the region to benefit from the Permanent University Fund – a public endowment contributing support to the University of Texas System and other institutions.

UTRGV has campuses and off-campus research and teaching sites throughout the Rio Grande Valley including in Boca Chica Beach, Brownsville (formerly The University of Texas at Brownsville campus), Edinburg (formerly The University of Texas-Pan American campus), Harlingen, McAllen, Port Isabel, Rio Grande City, and South Padre Island. UTRGV , a comprehensive academic institution, enrolled its first class in the fall of 2015, and the School of Medicine welcomed its first class in the summer of 2016.

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.

For additional information on UTRGV , please visit this link http://www.utrgv.edu/en-us/about-utrgv/history/index.htm

Special Instructions to Applicants

Dear Applicant,

Human Resources will not be held responsible for redacting any confidential information from the documents you attach with your application. The confidential information includes the following:

Date of Birth

Social Security Number

Gender

Ethnicity/Race

Please make sure that you omit this information prior to submission. We are advising that Human Resources will be forwarding your application to the department as per your submission.

All applications must be submitted via the UTRGV application portal at http://careers.utrgv.edu. Complete all sections on the application. Review of materials will begin on November 1st and will continue until the position is filled. Incomplete applications will not be considered. If you are applying for the first time, please complete all biographical information including address, email, and phone. You may update this at any time by selecting to edit your profile in the application.

The University of Texas Rio Grande Valley reserves the right to discontinue accepting applications prior to the stated close date of this position, after meeting the posting requirement of three (3) calendar days.

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

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.

Quick Linkhttps://careers.utrgv.edu/postings/40086

Posting Supplemental Questions

Required fields are indicated with an asterisk (*).

Applicant Documents

Required Documents

• Curriculum Vitae

• Unofficial Transcripts

• List of 3 References

• Teaching Philosophy

• Letter of Interest

• Research Statement

Optional Documents