Colby College Davis AI Postdoctoral Associate

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Academic Level:
Postdoc & Early Career

Description:
Purpose

The Postdoctoral Associate supports the mission of the Davis Institute for Artificial Intelligence (DavisAI) by advancing interdisciplinary, human-centered artificial intelligence research and education within a liberal arts context.  This position contributes to the Institution?s goals by pursuing an active research agenda, collaborating with faculty and students across disciplines, and supporting undergraduate teaching and experiential learning in AI. The role offers the opportunity to shape the future of AI education and scholarship at Colby College through research, teaching, consultation, and program development.

Essential Functions

To perform successfully in this position, an individual must be able to perform essential duties satisfactorily as well as possess education/experience, employ the knowledge, skills, and abilities as listed in representative fashion. Colby College actively supports the Americans with Disabilities Act and will consider reasonable accommodations to enable individuals with disabilities to perform the essential functions of the position.  This listing of essential duties is not all-inclusive, but representative; other duties may be assigned.

Research & Scholarship

-Pursue an independent and collaborative research agenda aligned with the mission of DavisAI and relevant to faculty, staff, and students across the College.

-Conduct interdisciplinary, human-centered AI research that supports responsible, ethical, and socially informed applications of artificial intelligence.

-Disseminate research through publications, conference presentations, and other scholarly outputs.

-Collaborate with DavisAI leadership and Colby faculty on external grant proposals and funded research initiatives.

Faculty & Student Collaboration

-Advise and consult with faculty and students engaged in AI-related research projects across disciplines.

-Provide technical and conceptual guidance on AI methodologies, including machine learning, data analysis, and model development.

-Support the full model development lifecycle, including problem formulation, data collection, analysis, model development, evaluation, and deployment.

Teaching & Program Support

-Co-plan and teach undergraduate AI-related courses, with an expected teaching load of one course per academic year.

-Co-teach and support an AI-focused summer education and training program for Colby students and external partners at the local, national, and global levels.

-Contribute to the development of inclusive, interdisciplinary, and student-centered AI curricula and learning experiences.

Position Qualifications

-Education and/or experience:

-PhD in a computing-related field (e.g., computer science, data science, artificial intelligence, or a closely related discipline).

-Demonstrated expertise and an active research record in one or more areas of artificial intelligence, including evidence of publications and/or conference presentations.

-Experience or demonstrated interest in interdisciplinary scholarship; prior interdisciplinary research experience preferred.

-Teaching experience and/or demonstrated interest in pedagogy, particularly at the undergraduate level, preferred.

Preferred experience:

-Experience with AI approaches to modeling archives, science, technology, and society (STS), or related fields.

-Experience contributing to grant writing or externally funded research projects.


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Page last updated 1/14/2026
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