Visiting Research Scholar, Institute Informatics and Applied Technology

Title: Visiting Research Scholar, Institute for Informatics and Applied Technology

Area: Institute for Informatics & Applied Technology

Telework Availability: On-campus Position

Employee Classification: Visiting Faculty

Appointment Percentage: 100

Months per year: 9

Salary Range: The budgeted annual salary that the University reasonably expects to offer for this position is $69,863 (w/o terminal degree) or $99,225 (w/terminal degree). The internal salary range is $69,863 - $72,192 (w/o PhD) or $99,225 - $102,533 (w/ PhD)

Is this position eligible for relocation reimbursement? Yes

Is this position eligible for a signing bonus? No

Close date: July 31, 2026

At this time, the University has suspended all new H1B visa sponsor ships.

The Institute for Informatics and Applied Technology (IIAT) at Gonzaga University in Spokane, WA invites candidates for a non-tenure-track Visiting Research Scholar position beginning in Academic Year . We welcome active researchers with hands‑on expertise in Agentic AI and/or Physical AI to join our institute. This is expected to be a nine‑month appointment with flexibility in appointment structure and duration.

Depending on project needs and candidate availability, appointments may be considered for varying lengths, including semester, academic‑year, or calendar‑year terms. This role is designed for researchers actively engaged in advancing AI systems and applications through research, development, and interdisciplinary collaboration.

Applicants may include doctoral candidates, recent Ph.D. graduates, or experienced researchers whose work aligns with the mission and priorities of IIAT. Successful candidates will lead one or more R&D projects, mentored by the Reisenauer Family Director of the IIAT, and in collaboration with faculty and students across disciplines and experts across sectors, to develop technologies that enable experiential learning.

The focus areas include Physical AI that recognizes the world, human‑AI interactions, and transformative education for K‑12 learners, among other opportunities. Our work aligns with the Jesuit mission of responsible and purposeful AI development.

Research and Development –

• Scope and execute Agentic AI / Physical AI R&D project(s) in consultation with the IIAT Director.
• Conduct the R&D project(s) independently and in collaboration with the IIAT team and GU faculty and students, as well as community partners as appropriate.
• Disseminate R&D outcomes through publications, presentations, demos, software and data repositories, tutorials, and/or workshops.

Educational Innovation and Learning Resources –

• Collaborate with faculty across disciplines to develop educational resources, demonstrations, workshops, learning modules, and other instructional innovations that leverage Agentic AI, Physical AI, and related research initiatives.
• Consult with the IIAT Director regarding project priorities and pedagogical approaches and support implementation opportunities as they arise.

Institute Initiatives and Dissemination –

• Contribute to the intellectual life of IIAT by collaborating with Institute staff and faculty on emerging AI initiatives.
• Share developments in the field through seminars, workshops, project consultations, and presentations for faculty, staff, and students.

• Doctoral candidate, recent Ph.D. graduate, or equivalent industry experience beyond Master level degree in computing or related disciplines.
• Evidence of active research expertise and hands‑on experiences in Agentic AI or Physical AI.

• Ability to collaborate with faculty, staff, and student researchers, engineers, and experts across disciplines.
• Experiences in developing and offering training, tutorials, workshops, or demos.

Master's Degree

In-Office Presence – Ability to work on-site in typical office setting and participate in in-person meetings with colleagues: 5 days/week

Standing/Sitting – Ability to remain in a stationary position for a prolonged period: Daily (>75% of time)

Walking – Ability to move about on foot to accomplish tasks: Rarely (1%-49% of time)

Lifting/Carrying – Ability to move or transport objects up to a specified weight: Rarely (1%-49% of time)

Attention to Detail – Ability to focus on detailed tasks for extended periods: Daily (>75% of time)

Problem-Solving – Ability to identify and resolve issues effectively: Daily (>75% of time)