Assistant/Associate/Full Professor in Electrical and Computer Engineering (RISE AI) Notice of Filing

Notice of Filing

Please do not apply to this position as it has been filled. This posting is mandatory to meet a United States Department of Labor requirement. See the job posting for more details.

A competitive recruitment and selection process was conducted for this employment opportunity and a U.S. worker was not selected. An application for Alien Employment Certification is being filed on behalf of an alien to fill the employment opportunity. Anyone with documentary evidence relative to the application, or available workers, wages and/or working conditions, may contact the Regional Certifying Office of the Department of Labor at the following address:

U.S. Department of Labor Employment and Training Administration Office of Foreign Labor Certification 200 Constitution Avenue NW, Room N- 5311 Washington, DC 20210

Institution: University of Wisconsin Madison

About the role

• Job Category: Faculty
• Employment Type: Regular
• Job Profile: Professor

Job Duties

The Department of Electrical and Computer Engineering seeks to hire a faculty member with expertise in foundational AI and machine learning. Desired areas include trustworthy AI foundations: efficient algorithms, optimization theory, and scalable architectures for robust, interpretable, and data-efficient systems. Additional interests span AI in signals, sensing, communications; energy and power systems; and AI-hardware co-design. Outstanding candidates at all levels (Assistant, Associate, Full Professor rank) will be considered.

This position is part of the Wisconsin Research, Innovation and Scholarly Excellence (RISE)-Artificial Intelligence (AI) cluster hire initiative. While the tenure home for this position will be in the Department of Electrical and Computer Engineering (ECE), the successful candidate will participate in interdisciplinary and collaborative efforts with other departments, schools and colleges.

Through accelerated and strategic faculty hiring, research infrastructure enhancement, interdisciplinary collaboration, and increased student and educational opportunities, RISE addresses complex societal challenges of importance to the state, nation and world. AI is a field with tremendous possibility for improving the human condition, but it also carries with it a concerning set of risks.

• It can accelerate the pace of discovery, reflecting a seismic technological shift, but it also requires thoughtful attention to ethics and security.
• UW-Madison has foundational expertise across research disciplines to address these realities.
• RISE-AI will advance deep learning and foundation models, natural language processing, signal processing, learning theory, optimization, and related areas.

RISE-AI will also ensure AI trustworthiness, mitigate biases, preserve privacy, enhance fairness, help establish AI policy and legal frameworks, and facilitate AI applications to multiple traditional disciplines and promote multidisciplinary collaborations.

Building on UW-Madison's strengths, RISE expands the University's successful track record of connecting with communities and industry on collaborative solutions. Over a three-year period, UW-Madison will substantially increase current hiring levels, bringing 150 new RISE faculty to campus.

• Candidates hired through RISE will join a community of scholars working across disciplines, schools and colleges on research, teaching and outreach endeavors.
• The community will engage regularly in venues such as seminar series and colloquia to share ongoing projects and identify opportunities to work together.
• The University will support the community, facilitating access to research infrastructure, and funding to support broad and rich collaboration.

The Electrical and Computer Engineering Department at UW-Madison has a long tradition of excellence in educating, mentoring, and inspiring future leaders; conducting research that is of vital importance to society; and serving Wisconsin, our nation, and the world through professional pursuits.

Our 48 tenure-track/tenured faculty (more than 35% of which are women) and 10 instructional faculty are leaders in their fields, respected nationally and internationally for their innovative research and teaching excellence. Approximately 400 graduate students and over 1100 undergraduate students are enrolled in our top-ranked degree programs.

Madison, Wisconsin, a beautiful city of more than 250,000, has been named on top-10 lists for tech growth centers, and consistently ranks as a top community in which to live, work, and play.

Key Job Responsibilities

Teaching undergraduate and graduate courses and contributing to curriculum updates and innovations; mentoring graduate students and supervising their research; developing and directing a successful, extramurally funded research program; participating in departmental and university shared governance; and contributing to professional and public service.

Department

• College of Engineering, Department Electrical & Computer Engineering

Compensation

• Negotiable - 9 months / ongoing / renewable

Required Qualifications

• The successful candidate will have an excellent academic record, a vision for an innovative, significant and impactful research program and the skills to implement it, and a commitment to high-quality undergraduate and graduate instruction and mentoring. Associate and Full Professor candidates must possess experience and scholarly credentials that meet the tenure standards of the UW-Madison Physical Sciences Divisional Committee and the College of Engineering.

Education

• Required Ph.D. in Electrical Engineering, Computer Engineering, or closely related field by the start date.

How to Apply

• Please apply directly to the website by clicking on "Apply Now." Upload a single PDF document containing 1) a cover letter, 2) a detailed CV, 3) research and teaching statements describing how the applicant's research and teaching goals fit the solicitation described above and how the candidate's previous activities and future plans are aligned with the department's priorities. Applicants should also provide names and contact information for three references who will be contacted upon application submission.

Deadline

• For full consideration, all materials must be received no later than 11:59pm on December 1, 2025. The position may remain open and applications may be considered until this position is filled.

• Contact Information: Delight Hensler
• Department of Electrical & Computer Engineering