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Entry-level, tenure track Assistant Professor (Electrical Engineering)

Requisition ID: 2024-7992

of Openings: 1

Location: US-UT-Logan Category: Faculty Position Type: Benefited Full-Time Job Classification: Faculty College: College of Engineering Department: Electrical and Computer Engineering Advertised Salary: Commensurate with experience

Overview College of Engineering, Department of Electrical and Computer Engineering. Entry-level, tenure track Assistant Professor (Electrical Engineering).

Successful candidate for this position will: develop a significant externally funded research program that includes a strong record of peer-reviewed publications and graduate student mentorship; effectively teach undergraduate and graduate courses, actively participate in assigned department and university duties; and demonstrate leadership in relevant technical societies.

This Assistant Professor (Electrical Engineering) position is located in Logan, Utah, which is situated in a spectacular Rocky Mountain valley approximately one and one-half hour drive north of Salt Lake City. Applications, along with a cover letter, curriculum vita, and a list of at least three references, should be submitted online at http://hr.usu.edu/jobs at the "Join Us" link. More information about this position may be obtained by contacting the Utah State University Human Resources Office, 8800 Old Main Hill, Logan, UT 84322-8800; hr@usu.edu; phone: 435-797-0216; fax: 435-797-1816. Utah State University is a Carnegie Research Doctoral Extensive University, an AA/EO employer, and has been chosen as a National Science Foundation ADVANCE Gender Equity Program recipient.

Responsibilities The course list includes:

ECE 5310 Control Systems (MAE 5310 Dynamic Systems and Controls): This course explores the fundamental concepts regarding modeling physical systems and the analysis and design of feedback control systems via mainly classical control methods.

ECE 6930 Distributed Control: Over the last two decades, synchronization has been a popular subject in multi-agent systems because of its vast array of applications ranging from flight formation to energy networks. From a control theory viewpoint, the fundamental problem in synchronization is: How should distributed controllers (i.e., local interactions between the agents and control protocols) be structured to ensure that the synchronization is achieved? This course explores how to analyze and synthesize distributed controllers for multi-agent systems with different levels of complexity.

ECE 6040 Convex Optimization: This course explores the fundamentals of convex analysis and optimization problems, optimality conditions, and duality theory. Over the course, students are trained to gain the ability to recognize and formulate engineering problems as convex optimization problems and derive and solve problems using off-the-shelf solvers.

Qualifications Minimum Qualifications:

• Ph.D. in Electrical Engineering or a closely related field (foreign equivalent degree is acceptable)
• Demonstrated strong background in engineering fundamentals
• Expertise in one of research areas including control systems (autonomous systems,... For full info follow application link.

USU recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the university's academic mission of learning, discovery, and engagement. USU is an Equal Opportunity employer and does not discriminate in any of its programs and activities based on race, color, religion, sex, national origin, age, genetic information, sexual orientation or gender identity/expression, disability, status as a protected veteran, or any other status protected by University policy or local, state, or federal law (https ://equity.usu.edu/non-discrimination).