Description
Position
Summary:
The Lamar
Dodd School of Art at the University of Georgia invites applications for a
tenure-track Assistant Professor position in Art, Artificial Intelligence, and
Emergent Digital Practices. We seek an innovative and forward-thinking artist-scholar
whose work explores the dynamic intersections of contemporary art and emergent
technologies. The successful candidate will be instrumental in expanding the
role of AI in visual arts, addressing its applications, ethical implications,
and transformative potential in artmaking, design, and cultural production.
This individual will join a vibrant interdisciplinary community and contribute
to shaping the future of digital art and technology at the university.
Responsibilities:
• Teach four
courses per year at all levels of undergraduate and graduate instruction, on
topics related to emergent digital practices in the arts, including but not
limited to artificial intelligence, generative art, machine learning,
algorithmic aesthetics, creative coding and human-computer interaction.
• Develop and
sustain an active creative research practice, leading to exhibitions and other
forms of recognition.
• Contribute
to curriculum development that incorporates emerging digital practices and AI
technologies in the arts, addressing conceptual, ethical and technical issues,
as well as issues of accessibility, diverse educational and cultural
backgrounds, and learning styles as they relate to teaching digital arts and
emerging technologies.
• Collaborate
with other faculty in cross-disciplinary initiatives, particularly within the
university’s burgeoning AI research community.
• Provide mentorship
to the department’s diverse student body at both the undergraduate and graduate
levels.
• Engage in
service activities that contribute to the governance of the School and
University, including committee work and program development.
• Actively contribute
to the community of the department in building a collaborative work and
learning environment that is inclusive.
Qualifications:
• A strong
portfolio demonstrating significant work at the intersection of art and emergent
digital practices, with a focus on innovative uses of technology.
• A clearly
articulated research agenda with plans for future work.
• Research
in creative practices at the intersections of art, AI, and technology such as
creative coding, machine learning, extended reality, or other AI-related
techniques.
Minimum
Qualifications:
MFA or
equivalent terminal degree in Art, Digital Media, Computational Design, or a
related field.
Preferred
Knowledge, Skills, Abilities and/or Competencies:
• Two years
of college/university-level teaching experience, with demonstrated ability to
engage and inspire students across a range of courses.
• Interest in
transdisciplinary collaboration and the ability to foster connections between
art and other fields such as computer science, philosophy, or data science.
• Evidence of
innovative curriculum development and experiential learning methods.
• Evidence of
work in animation, virtual reality, and/or lens-based practices such as video
and photography.
• Evidence of
teaching and research practices that engage with locally identified needs and
issues relevant to the diversity of communities in Georgia and across the
nation and world.
Special
Instructions to Applicants:
Applications
will be reviewed starting January 1, 2025. The position will remain open until
it is filled. For questions, please contact LeeAnne Krause at leeanne.krause@uga.edu. Application materials will be
accepted through the University of Georgia, UGAJobs website https://www.ugajobsearch.com/postings/404342.
Please
provide the following:
• Cover
letter addressing qualifications and experience.
• Curriculum
Vitae (CV).
• Portfolio
of recent work (PDF with 20 images or links to equivalent digital content).
• Statement
of teaching philosophy, including strategies for integrating AI into the
curriculum.
• Statement
of research interests and future creative directions.
• Contact
information for three professional references (title, email address, phone
number).