"Assistant Professor - Electrical Engineering & Computer Science"

Asst Professor - Electrical Engineering & Computer Science

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• Generous Retirement Contributions: The State contributes 14.94% of your gross salary, and you contribute 3.68%, totaling 18.62% toward your retirement plan.
• Exceptional Health & Prescription Coverage: Enjoy access to medical, dental, and vision insurance with competitive employer contributions, that include 4 deductible options to suit your needs.
• Paid Time Off: Benefit from ample vacation, sick leave, paid holidays, and paid winter closure.
• Tuition Waiver: Employees and eligible dependents can take advantage of tuition waivers, supporting continuous education and professional growth.
• Wellness and Employee Assistance Programs: Stay healthy with wellness initiatives, counseling services, and mental health resources.

At the University of Wyoming, we are committed to creating a supportive and enriching workplace. To learn more about what we offer, please refer to UW's Benefits Summary.

JOB TITLE:

Assistant Professor

JOB PURPOSE:

The Department of Electrical Engineering and Computer Science (EECS) invites applications for tenure-track faculty in Computer Science at the rank of Assistant Professor with an anticipated start date of August 25, 2026. We encourage applications from outstanding candidates in the area of artificial intelligence and machine learning. Applicants must hold a Ph.D. in Computer Science or a closely related field by the date of employment.

This position will remain open until filled. Complete applications received by 12/01/2025 will receive full consideration.

We primarily seek scholars with expertise in core areas of artificial intelligence and machine learning, such as, but not limited to:

• Foundational and Theoretical Methods in AI/ML
  • Learning Theory and Control Theory in AI; Optimization for AI/ML Models (convex, non-convex, stochastic, robust); Probabilistic and Statistical Methods (variational inference, causal inference, Gaussian processes); Computationally Efficient Learning; Algorithmic Game Theory and Decision Theory
• AI/ML Algorithms, and Model Development
  • Development of novel AI/ML Algorithms (foundation models, large language models, neural networks, generative models); Reinforcement Learning (decision-making, control, planning, hierarchical RL); Deep Learning; Adversarial Learning and Machine Unlearning
• AI/ML Architectures and Infrastructure
  • Development of novel AI/ML Architectures; Training Infrastructure; Decision-Support Tools; Advanced Cyberinfrastructure for AI and Intelligent Systems; Multi-Agent Systems

While we primarily seek expertise in core areas of AI/ML, we welcome scholars with expertise in other areas of AI/ML to apply, such as, but not limited to:

• Explainable, Responsible and Trustworthy AI
  • Causality, Fairness, and Accountability; Model Bias, Interpretability, and Explainability; Authenticity and Trust in AI Systems; Federated and Decentralized Learning; Privacy-Aware AI
• Human-Centered AI
  • Human Factors in AI, Human-AI Interfaces; Natural Language Processing, Agents, and Interactive AI

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Successful candidates are expected to develop and maintain a strong research program and work with colleagues in the department to develop educational and research in Artificial Intelligence and Machine Learning.

The successful candidates' responsibilities will include developing a vigorous independent research program supported by external grant funding, high-quality teaching of EECS courses, mentoring of graduate students; working collaboratively with faculty and staff, and service to the university and state.

MINIMUM QUALIFICATIONS:

• Doctorate degree in Computer Science or a closely related field by date of appointment.
• Excellent communication, organization, and team collaboration skills.
• Ability to contribute in meaningful ways to the university's continuing commitment to freedom of expression on campus.
• Research productivity in core areas of Artificial Intelligence and Machine Learning as demonstrated by the number and quality of publications in peer-reviewed journals, conference proceedings, and/or other relevant research impact (e.g., peer-reviewed datasets, scientific software, or other complementary assessments of impact and influence).

DESIRED QUALIFICATIONS:

• Experience and/or demonstrated potential to develop an externally funded research program in core areas of Artificial Intelligence and Machine Learning.
• Experience in teaching at the undergraduate level and interest in working in a team environment to develop new undergraduate offerings.
• Potential for excellence in teaching, training, and/or mentoring students at the undergraduate and graduate levels.

REQUIRED MATERIALS:

Complete the online application and upload the following for a complete application:

(1) a cover letter that addresses how the candidate fits the listed minimum and desired qualifications;
(2) Contact information for four work-related references (references will only be contacted if you are selected as a finalist for the position).
(3) a CV (Curriculum Vita);
(4) a research statement; and
(5) a teaching statement.

This position will remain open until it is filled. Complete applications received by December 1, 2025, will receive full consideration. Appointments will be as a tenure-track position as outlined in the University of Wyoming regulations.
Questions about the position may be addressed to the search committee chair Dr. Amy Banić at abanic@uwyo.edu with subject line "UW EECS TT Faculty Position in AI/ML". General questions about the application process should be addressed to Amanda Schneider at aschnei5@uwyo.edu.

Due to a current system limitation, you may only be prompted to upload your resume/CV and a Cover Letter. To ensure your application is complete, we recommend you put all of your application materials into one file with your cover letter. However, if you're experiencing any issues in doing so, please send any additional application materials to recruit@uwyo.edu, and a recruiter will manually add them to your application packet. To help us process your application more efficiently, please include the 6-digit job ID number (located at the bottom of the job posting) in your email.

WORK LOCATION:

On-campus: This position provides vital support to campus customers, and the successful candidate must be available to work on campus.

WORK AUTHORIZATION REQUIREMENTS:

Work authorization sponsorship may be available for this position, conditioned on the non-applicability of the fees implemented in 90 FR 46027 to the visa petition.