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The Institute for Informatics and Applied Technology (IIAT) aims to drive faculty, students, and community innovations via responsible artificial intelligence and data science practices. Through rigorous academic offerings, collaboration with industry and interdisciplinary research, IIAT prepares students and professionals across disciplines for leadership with technical expertise in informatics while critically examining the ethical and societal implications of emerging technologies. The Institute provides opportunities for collaborative, experiential learning through ideation, problem solving and entrepreneurial exploration, supporting student-led innovation and industry and community partnerships to drive AI-enabled advances for the benefit of humanity. This position will responsibly explore, develop, and use technology advances in AI and machine learning, to help elevate the GU and partners' knowledge and competency in these technological areas and consequently innovate for responsible learning, teaching, and business operations. This position will work closely with the IIAT Director and other staff members to continue advance their own knowledge and skillset in these areas and how they connect to humanity and society for responsible technology innovation. This position will focus primarily on AI-powered visual analytics for various application domains.
Job Responsibility:
Investigate and Develop AI and ML software, specifically for generative AI enabled visual analytics
Actively work with GU faculty, students, staff, and external partners to investigate and develop specialized AI/ML systems, including generative AI technologies, for teaching, research, and business operations
Independently develop custom AI technology and systems that fit partner's needs
Assist partners to acquire necessary knowledge and skills to use the developed system
Research and report AI/ML and visualization technology advances
Proactively and independently explore and attain specialized AI advances and technologies, including but not limited to LLM architecture, prompt engineering, fine-tuning/alignment, and guard rails, from a variety of sources
Independently apply attained technology advances to support partners' teaching, research, and business operation needs
Independently and regularly investigate advances in generative AI, and report and discuss such advances with the Director and the other IIAT staff
Work closely with the Director and partners to disseminate findings through paper writing, blog posting, git release, and assess commercialization viability to prepare IP documentation if deemed viable
Develop training and learning material
Independently design AI/ML exercises that will provide experiential learning experience for the learners who might have diverse background in different instances
Collaborate with the Director and other IIAT staff to develop visualization for training exercises and material for faculty, students, staff, and extended partners
Assist in delivery and assessment of the training and learning sessions
Assist the IIAT Director and collaborate with IIAT staff/engineers to manage the Human-AI Collaboratory (HACLab)
Investigate, assess, and provide information to the IIAT Director, curate computing resources for the HAC-Lab
Assist to maintain and secure the virtualized environment with best practices in using AI technologies
Supervise student assistants for IIAT affiliated research
Supervise student(s) to support the research and development of AI and visualization technology uses and advances
Support student learning through mentorship in their research endeavors
Requirements:
Two (2) years of specific technology development experience in AI technologies
Demonstrated ability for software development
Demonstrated experience in visual analytics enabled with generative AI technologies
Demonstrated intellectual curiosity for continual learning, discovery and creation to challenge the status quo respectfully
Excellent verbal and written communication skills necessary to communicate with internal and external partners
Demonstrated ability to navigate in higher-ed environment while being adaptive and agile to ensure success of a start-up unit
Demonstrated appreciation for Gonzaga's and IIAT's mission for humanity-centered responsible AI learning and innovation
Bachelor's Degree or Equivalent Experience
3 years of related experience
Nice to have:
Graduate Degree or equivalent experience in related field
Demonstrated experiences in PowerBI and/or Python interactive visualization
Demonstrated skills in artistic design for visual analytics
Demonstrated ability for data curation/collection or data cleaning
Demonstrated ability for working with people across disciplines
Demonstrated ability to be creative in problem solving
Demonstrated ability to manage competing priorities with frequent interruptions
Demonstrated ability for excellent customer service
Demonstrated ability to operate with a high level of confidence and discretion