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Assistant/Associate Professor of Electrical

Employer
University of Texas - Rio Grande Valley
Location
Texas, United States
Salary
Salary Not specified
Posted Date
Sep 26, 2022

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Position Type
Faculty Positions, Science, Technology & Mathematics, Computer Sciences & Technology
Employment Level
Tenured/Tenured Track
Employment Type
Full Time
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Assistant/Associate Professor of Electrical & Computer Engineering

Job Class Code: 10031
FLSA: Exempt
Posting Number: FRGV1401
Location: Rio Grande Valley
Division/Organization: Provost - Academic Affairs
Appointment Period for Non-Tenure Position:
Tenure Status: Tenure Track
FTE: 1.0

Scope of Job:
The Department of Electrical and Computer Engineering (ECE) at the University of Texas Rio Grande Valley (UTRGV) seeks applicants for one or more faculty positions as part of a college wide cluster hire in the broad area of machine learning, artificial intelligence, data science, and intelligent engineering systems with applications in healthcare, material science, intelligent transportation systems, or control systems and robotics. Successful candidates will contribute to one or more of the following centers or upcoming doctoral programs in the College of Engineering & Computer Science: the Center for Multidisciplinary Research Excellence in Cyber-Physical Infrastructure Systems (MECIS), the University Transportation Center for Railway Safety (UTCRS), the Center for Advanced Manufacturing Innovation and Cyber Systems (CAMICS), the Center for Nanotechnology, the proposed high performance computing cluster, an interdisciplinary PhD program in materials science and engineering, or a PhD program in computer science with interdisciplinary applications.

The positions are for tenure track assistant professors; however, exceptional candidates may be considered for credit toward time on tenure track or for appointment as associate professor.

The ECE department at UTRGV has an enrollment of over 750 undergraduate students and 40 master's degree students. The programs (BSEE & BSCE) have ABET accreditation, and a new PhD Program in Material Science & Engineering will start in Fall 2023. For further information, please visit our website at https://www.utrgv.edu/ece/

UTRGV faculty are expected to demonstrate a strong commitment to student success and to advancing the university, college, and program missions. Faculty are also expected to demonstrate a strong commitment to UTRGV's strategic plan (http://www.utrgv.edu/strategic-plan/) and promote access to post-secondary education to a diverse student body with the goal of becoming one of the largest and most successful Hispanic-serving emerging research institutions in the U.S.

Minimum Qualifications:
Applicants must have an earned Ph.D. in Electrical or Computer Engineering or a related field from an accredited university (at least conferred before the start date of September 1, 2023). Prospective candidates in all computer engineering areas are strongly encouraged to apply.

Discipline Specific Required Qualifications:
Candidates should be able to teach undergraduate/graduate core courses, develop laboratories, initiate externally funded research, have publications of research results in archival journals and/or conference proceedings and are expected to support the newly approved master’s program in computer engineering. We seek scholars whose research agenda aims to develop new methods, laboratory and understanding in machine learning and deep learning algorithms, optimization, data science, computer vision, image processing, and high performance and cloud computing by considering AI in healthcare, material science, intelligent transportation systems, or control systems and robotics, and where the research simultaneously informs progress in AI and advances department, institution, and societal goals. Candidates must be willing to offer or teach courses in algorithms and data structures, embedded systems, systems programming, software engineering, and operating systems, and are expected to have the potential for collaboration with faculty in the department. Candidates are also expected to lead and propose new research projects and proposals to attract external federal, state, or industrial funding, such as NSF, DoD, NIH, USDOT, NASA, TxDOT, or others.

Preferred Qualification:
The highest consideration will be given to applicants who have expertise in the Artificial Intelligence and/or Machine Learning areas.

Salary: Commensurate with Qualifications and Experience
License or Certification Required?: No
Number of Vacancies: 1
Desired Start Date: 09/01/2023

EEO Statement:
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.
Diversity Statement
UTRGV is a Hispanic-serving Institution dedicated to student success and building a diverse faculty committed to working in a multicultural environment. UTRGV has an NSF ADVANCE grant to increase the representation of women in STEM fields and to promote a positive, family friendly workplace for all faculty. We strongly encourage applications from women and minorities.

Open Date: 10/01/2022

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 December 2, 2022 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. A Criminal Background Check must be conducted for all applicants invited to campus for an interview. Applicants should address their ability to work collaboratively and their commitment to supporting the excellence of all students on campus.

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

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.

To apply, visit https://careers.utrgv.edu/postings/35712 jeid-09ce1ff86c2c8547a92ad8db4891d1a3
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