Description

As an Assistant Professor, responsibilities include teaching, research, and service in the Department of Electrical Engineering and Computer Science at the University of Arkansas, Fayetteville. This position is a 100% appointed, 9-month, tenure-track position.

Specifically, this position will conduct research leading to scholarly publications in the appropriate area, write proposals to obtain external funding, establish an independent research program supported by external funding, develop graduate and undergraduate courses, provide curriculum material, construct syllabi, provide classroom instruction, write and administer exams, prepare and evaluate students, mentor students, serve on various faculty and student-oriented committees, exhibit participation and leadership in related professional societies, and participate in the faculty decision-making for the department. 

For this position, we are seeking outstanding candidates conducting cutting-edge research at the intersection of artificial intelligence and cybersecurity. Areas of interest include but are not limited to, generative AI for security, AI-powered agents for security, AI-assisted security, security operation automation, etc.

Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working relationships with others.

For more information and to apply for this position: Applications should be submitted via the University of Arkansas Career Site: 

https://uasys.wd5.myworkdayjobs.com/UAF_External_Career_Site/job/Fayetteville/Assistant-Professor---Electrical-Engineering---Computer-Science--9-Months-_R0073241 

Requirements

Minimum Qualifications

• Ph.D. in computer science, computer engineering, electrical engineering, or closely related discipline from an accredited institution of higher education, conferred by the start of employment.
• Must present a promising track record in scholarship through refereed publications in conferences and/or journals.
• Experience in teaching and mentoring undergraduate and graduate students.

Preferred Qualifications 

• Research expertise at the intersection of artificial intelligence and cybersecurity, including but not limited to, generative AI for security, AI-powered agents for security, AI-assisted security, security operation automation, etc.
• Teaching experience in the field of computer science, computer engineering, or electrical engineering in an accredited higher education environment.
• Exposure and/or experience writing grant proposals.