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Opportunity: Open Rank -- Klesse College of Engineering & Integrated Design, Department of Electrical and Computer Engineering (#8740) @ University of Texas, San Antonio (US)
Submitted by Ryan V; posted on Friday, October 07, 2022
The Department of Electrical and Computer Engineering at the University of Texas, San Antonio (UTSA) invites applications for open-rank tenure-track faculty positions starting in Fall 2023 in Bioinformatics and Artificial Intelligence (AI) Accelerators.
RESPONSIBILITIES:
Essential Functions:
For the Bioinformatics position, we invite applications from exceptional candidates in the areas of applications of Artificial Intelligence or machine learning techniques in research areas such as computational biology, systems biology, biomedical image analysis, and data engineering including data acquisition, storage, organization, analysis, or visualization, and other emerging areas that would complement existing strengths within the Department. The preferred candidate needs to demonstrate knowledge in cancer research, computational neuroscience, infectious disease, precision therapeutics, health disparities, and -omics data analysis. We are seeking colleagues to foster collaborative research, education, and outreach and create transdisciplinary areas of knowledge that will advance the field of neuroscience human performance at our College of Science and Biomedical Engineering at the Klesse College of Engineering and Integrated Design. This initiative is integral to the Clustered and Connected Hiring Program for Bioinformatics and will expand collaborative research from Mathematics, Neuroscience, Developmental and Regenerative Biology, and the School of Data Science. Candidates may hold joint appointments in the Department of Mechanical Engineering, Department of Information Systems, CyManII, and School of Data Science.
For the AI accelerator position, outstanding candidates at the Assistant Professor level are invited for a position in "AI Accelerators". AI's tremendous capability depends on the development and deployment of lightweight, efficient AI models that can be executed on resource-constrained hardware. The move towards bigger models requires ever-growing datasets and compute budgets, which incur massive energy bills over the model deployment lifecycle. It is crucial to design new AI accelerators and custom hardware (eg: digital accelerators, custom ASICs, mixed-signal chip design, emerging technologies) that can support the rapid growth of the models and reduce the overall carbon footprint. Successful candidates will need to demonstrate (1) a solid research agenda, publication record, and external funding capability in AI accelerators and related areas, (2) the ability to excel in undergraduate and graduate education, and (3) a commitment to inclusion and diversity. The candidate will be also affiliated with the MATRIX AI Consortium which serves as the nexus for leading AI innovators to perform transdisciplinary research, engage in high-impact partnerships, and provide thought leadership and domain expertise to solve intractable problems in AI.'Candidates will have the opportunity to collaborate with a rich ecosystem of MATRIX partners from computer science, psychology, biomedical engineering, and neuroscience, as well as with local research organizations such as the UT Health San Antonio and Southwest Research Institute.
REQUIREMENTS:
- Doctorate in electrical engineering, computer engineering, computer science, bioinformatics, or related field by the time of hire
- Outstanding academic credentials that clearly demonstrate the ability to conduct independent and successful research in their areas of expertise, and to build cross-disciplinary research programs.
- Excellent communications skills with a commitment to engage in a high-quality undergraduate and graduate education in areas of electrical and computer engineering.
- Responsibilities for the position include research, teaching at the graduate and undergraduate levels, and program development.
- Demonstrate ability to work with and be sensitive to the educational needs of diverse urban populations and support the University's commitment to thrive as a Hispanic Serving Institution and a model for student success.
PREFERENCES:
- For assistant professor candidates, demonstration of a solid research agenda, high-impact publications, and external funding capability are preferred.
- Experience in an academic supervisory capacity/leadership position.
- Experience with ABET accreditation.
- Knowledge of innovative curriculum development and implementation.
- Experience with fiscal management responsibilities.
- Leadership in professional organizations.
TERMS:
Regular/Temporary: Regular
Full/Part Time: Full Time
Hours per Week:
Exempt Position: 40 hours per week.
Working Conditions:
On Campus: Primary work location will be on campus. Parking expenses are the employee's responsibility.
COMPENSATION:
Salary Range: commensurate with education, experience and qualifications.
LOCATION:
San Antonio, TX
HOW TO APPLY:
To view the full job posting and apply for this position, go to https://apptrkr.com/3504423
Required Application Materials (please submit all documents together in a single PDF):
- A cover letter that describes the position (Bioinformatics and AI Accelerator), how their background fits the position and how their research will synergize with other research activities within the Department
- Curriculum Vitae (CV)
- A research and teaching statement which includes a discussion on the role diversity and inclusion play in an academic environment
- Complete contact information for at least three professional references
If you are unable to place documents into a single PDF, please follow these instructions to upload multiple documents:
- Once you have submitted your job application (note: applicants can submit with just the required CV attached and use this option to add the additional documents), use the Menu icon to view your job applications.
- On the Job Applications page, under the My Cover Letters and Attachments section click Add Attachment.
- Proceed to attach all required documents here. Your attached file will now appear within your job application for a search committee to review.
Applicants must submit all documents materials together in a single PDF in order to be considered (with one of the two required tabs) OR use the system Menu Icon for uploading multiple documents.
Job ID: 8740
DEADLINE:
All applications received by the priority deadline of October 21, 2022 will be given full consideration and the search will continue until the position is filled.
ABOUT US:
Department Marketing Statement:
The Department of Electrical and Computer Engineering offers B.S., M.S., and Ph.D. degrees supporting a dynamic and rapidly growing program. The research activities and experimental facilities have been well supported by various federal research and infrastructure grants. The Department has more than 30 faculty members with 30% female faculty. See https://ceid.utsa.edu/electrical-computer/ for details. The Department is committed to creating an environment that affirms diversity across a variety of dimensions, including ethnicity/race, gender identity, and expression.
Org Marketing Statement:
The University of Texas at San Antonio is a Hispanic Serving University specializing in cyber, health, fundamental futures, and social-economic development. With more than 34,000 students, it is the largest university in the San Antonio metropolitan region. UTSA advances knowledge through research and discovery, teaching and learning, community engagement and public service. The university embraces multicultural traditions and serves as a center for intellectual and creative resources as well as a catalyst for socioeconomic development and the commercialization of intellectual property – for Texas, the nation and the world. Learn more https://www.utsa.edu, on https://www.utsa.edu/today/ or on https://twitter.com/utsa, https://www.facebook.com/utsa, https://www.youtube.com/user/utsa or https://www.linkedin.com/school/the-university-of-texas-at-san-antonio/.
UTSA, situated in a global city that has been a crossroads of peoples and cultures for centuries, values diversity and inclusion in all aspects of university life. As an institution expressly founded to advance the education of Mexican Americans and other underserved communities, our university is committed to ending generations of discrimination and inequity. UTSA, a premier public research university, fosters academic excellence through a community of dialogue, discovery and innovation that embraces the uniqueness of each voice.
POLICY:
EO/AA Statement:
As an equal employment opportunity and affirmative action employer, it is the policy of The University of Texas at San Antonio to promote and ensure equal employment opportunity for all individuals regardless of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability or genetic information, and veteran status. The University is committed to the Affirmative Action Program in compliance with all government requirements to ensure nondiscrimination. Women, minorities, people with disabilities and veterans are encouraged to apply. UTSA campuses are accessible to persons with disabilities.
Additional Information:
- UTSA is a tobacco free campus.
- This is a security sensitive position. Employment is contingent upon a successful background check.
- Applicants selected must be able to show proof of eligibility to work in the United States by time of hire.
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