What are the responsibilities and job description for the Lecturer, Asst OR Instructional Professor, Asst - Applied Artificial Intelligence position at UW Candidate Experience?
JOB TITLE:
Assistant Lecturer/Assistant Instructional Professor
JOB PURPOSE:
The School of Computing (SoC) at the University of Wyoming seeks applicants for a full-time, 9-month benefitted Assistant Lecturer/Assistant Instructional Professor position. This position, which will be jointly appointed with the Science Institute (SI) will: enhance undergraduate academic opportunities for students to understand and apply artificial intelligence (AI) within science fields; will contribute to teaching and coordinating undergraduate research experiences in applied AI, machine learning (ML), and data science; and will have the opportunity to collaborate with AI researchers in the School of Computing, Department of Electrical Engineering and Computer Science (EECS), and the Science Institute.
This position will contribute to advancing the use of artificial intelligence across UW’s Science Institute, through both teaching and student program coordination and support. In teaching, the candidate will focus on interdisciplinary courses tailored for students without prior computer science backgrounds, such as an "Intro to Artificial Intelligence for STEM" course. These courses will be designed to complement current AI/ML courses offered by EECS to reach a broader audience. For student programs, the candidate will help coordinate and support course-based undergraduate research experiences (CUREs) in the Science Institute involving university and industry partners. There will be additional opportunities to support SI outreach and engagement activities and students involved in research in the Science Institute’s new Research Centers.
The successful candidate will have demonstrated excellence in teaching commensurate with experience, and enthusiasm to teach undergraduate students effectively. Candidates with interest and experience in software development are particularly encouraged to apply. The position is set to begin by August 19, 2025.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Teaching undergraduate courses in applied artificial intelligence, machine learning, and/or data science.
- Developing, supporting, and coordinating student experiential learning projects (in partnership with university, industry, and external stakeholders).
- Developing AI-focused modules for course-based undergraduate research experiences in the newly developed Student Collaborative Research, Outreach and Learning Laboratory (SCROLL), in collaboration with the SI’s Course-based Undergraduate Research Experiences (CURE) coordinator.
- Develop AI-focused educational content for K-12 outreach programs.
- Service to the School of Computing, Science Institute, and university.
REMOTE WORK ELIGIBILITY:
This position provides vital support to campus customers and requires the successful candidate be available to work on campus.
MINIMUM QUALIFICATIONS:
- For consideration as a Lecturer, Asst a M.S. in Computer Science, Computer Engineering, Data Science or a MS degree in a field which includes significant computing experience.
- For consideration as an Instructional Professor, Asst a PhD in Computer Science, Computer Engineering, Data Science, or a PhD degree in a field which includes significant computing experience.
- Teaching experience at the college level, and demonstrated commitment to effective teaching and undergraduate education.
- Demonstrated expertise in AI, ML, data science and related computing areas.
DESIRED QUALIFICATIONS:
- Demonstrated extensive experience in computing.
- Demonstrated teaching excellence in hybrid and online modalities.
- Experience with innovative teaching methods and commitment to the scholarship of teaching and learning.
- Research interest in undergraduate computing education.
- Interest in teaching senior design capstone courses.
- Professional experience in a computing related field
REQUIRED MATERIALS:
Applications should include the online application and (1) a cover letter that addresses how the candidate fits the listed minimum and desired qualifications; (2) contact information for four references (to be contacted only for finalists); (3) a CV (Curriculum Vita); (4) 2 page statement of teaching philosophy and experience, and description of approach and/or experience in supporting a diverse student population with limited prior computing experience; (5) sample of prior teaching evaluations, if available.
Questions about the position may be addressed to the search committee chair Dr. Dane Taylor at dane.taylor@uwyo.edu. Application process questions should be addressed to Beth Leonard at bleonar6@uwyo.edu.
This position will remain open until it is filled. Complete applications received by 1/30/2025 will receive full consideration.
HIRING STATEMENT:
UW is an Affirmative Action/Equal Opportunity Educator and Employer (UW Reg 4-1). The University does not discriminate in employment or personnel practices on the basis of race, gender, religion, color, national origin, disability, age, protected veteran status, sexual orientation, gender identity, genetic information, creed, ancestry, political belief, pregnancy, or any other protected category or participation in any protected activity. In compliance with the ADA Amendments Act (ADAAA), if you have a disability and would like to request an accommodation to apply for a position, please call 307-766-2377 or email jobapps@uwyo.edu.
COMPUTE INFRASTRUCTURE:
Cyberinfrastructure resources available at UW to support AI and data science instruction and research include the Advanced Research Computing Center which will host a new NSF-funded state-of-the-art GPU cluster, the NCAR Wyoming Supercomputing Center hosting the Derecho supercomputer, the UW Explore advanced visualization and collaboration infrastructure, and a SAGE edge computing node with environmental sensors deployed at the AMK Ranch.
ABOUT THE SCHOOL OF COMPUTING:
Established in 2022, the School of Computing provides a hub of innovation and knowledge exchange for computing and digital skills at the University of Wyoming. The school provides University of Wyoming students, faculty and staff, and Wyoming businesses and citizens with the computational tools, skills and approaches to drive transformation and innovation in the state. The School of Computing champions broader efforts to make the University of Wyoming more digital, inclusive, interdisciplinary, and entrepreneurial through computing partnerships across Wyoming. The School of Computing currently has 19 core faculty in tenure track, instructional and research positions, with plans to hire more faculty through a five year start-up phase. The School hosts academic degrees including a Minor in Computing, Minor in Computational Science and Engineering, BS in Applied Software Development, BS in Geographic Information Science and Technology, MS in Artificial Intelligence and MS in Quantum Information Science and Engineering, with further degrees in Applied Computing and Data Science planned for Fall 2025.
ABOUT THE SCIENCE INSTITUTE:
The Science Institute at the University of Wyoming manages a transformative interdisciplinary initiative that catalyzes the convergence of physical, social, and biological sciences, engineering, humanities, and computing to address Wyoming's needs. Established in 2023, the Institute is housed in a state-of-the-art building featuring advanced research and teaching facilities. The Institute emphasizes innovation, interdisciplinary collaboration, and the integration of digital technologies in STEM education and research. Through its various programs, including the Learning Actively Mentoring Program (LAMP) and Wyoming Research Scholars Program (WRSP), the Institute promotes excellence in science education while fostering partnerships between academia, industry, and the community.
ABOUT LARAMIE:
The University of Wyoming is located in Laramie, a town of 30,000 in the heart of the Rocky Mountain West. The state of Wyoming continues to invest in its university, helping to make it a leader in academics, research and outreach. The university has state-of-the-art facilities in many areas and the community provides the advantages of a major university.
Located in a high mountain valley near the Colorado border, Laramie offers both outstanding recreational opportunities and close proximity to Colorado’s Front Range, a bustling group of metropolitan cities including Denver, Boulder, and Fort Collins. This beautiful mountain landscape offers outdoor enjoyment in all seasons, with over 300 days of sunshine annually. For more information about the region, please visit http://visitlaramie.org/
