invites applications for a fully funded PhD position in Theoretical
Computer Science and Machine Learning, beginning in the fall semester of
2026.
Research Environment
The successful candidate will join a research group active in:
• *Theoretical Computer Science, including*
– Graph Algorithms
– Computational Complexity and Fine-grained Complexity
– Computational Geometry
• *Machine Learning, with a particular focus on*
– Dataless Neural Networks
– Theory-inspired learning models
The specific PhD research project will be defined collaboratively with the
student, based on their background, interests, and strengths, and aligned
with the group's broader research directions.
The PhD position is fully funded for the first three years.
*Desired Background*
Applicants are expected to have:
• A Master's degree in Computer Science, Mathematics, or a closely related
field, with strong
preparation in algorithms, theory, or discrete mathematics
• Strong mathematical maturity and interest in foundational and algorithmic
research
• Demonstrated motivation for research at the intersection of theory and
learning
• Programming knowledge in Python is desired
Exceptional candidates with equivalent preparation may also be considered.
*How to Express Interest*
Interested candidates are encouraged to contact directly:
*Dr. Sangram K. Jena*
*Assistant Professor, Department of Computer Science*
*University of Alaska Fairbanks*
*skjena@alaska.edu <skjena@alaska.edu>*
Initial contact may include a brief description of academic background,
research interests, and
a CV. Informal inquiries are welcome.
Note: Formal application procedures and timelines will be discussed with
shortlisted candidates.
--
*~Best regards,*
*/ **Sangram K Jena**, Ph.D. ** (*he/him)
Assistant Professor
University of Alaska Fairbanks
Department of Computer Science
525 Duckering Building
Fairbanks, AK 99775
907-474-5829
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