Research Lead in AI for Resource-Constrained Systems

The University of Texas at El Paso; El Paso (TX); On-site; USD 80,000 - 120,000; Full time

Job summary

A comprehensive university in El Paso is seeking a Research Assistant/Associate Professor to contribute to research in AI-driven Resource Constrained Intelligent Systems. Candidates are expected to have a Ph.D. in electrical/computer engineering or a related field, along with a minimum of five years of relevant experience. Applicants should demonstrate the ability to establish externally funded research programs. This full-time role emphasizes collaboration within interdisciplinary teams, with an emphasis on publications and scholarly achievements.

Qualifications

• A minimum of five years of relevant experience beyond degree completion or postdoctoral work.
• Potential for establishing an extramurally funded research program.
• Track record of publications in AI-driven Resource Constrained Intelligent Systems (AIRCIS).

Responsibilities

• Develop vigorous, externally funded research programs in technical areas.
• Contribute to growth of interdisciplinary research and academic programs.

Skills

Excellent communication skills

Demonstrated scholarly achievements

Education

Ph.D. in electrical/computer engineering or related field

Job description

A comprehensive university in El Paso is seeking a Research Assistant/Associate Professor to contribute to research in AI-driven Resource Constrained Intelligent Systems. Candidates are expected to have a Ph.D. in electrical/computer engineering or a related field, along with a minimum of five years of relevant experience. Applicants should demonstrate the ability to establish externally funded research programs. This full-time role emphasizes collaboration within interdisciplinary teams, with an emphasis on publications and scholarly achievements.