Description
Research Fellow Positions at Korea Institute for Advanced Study
[The School of Computational Sciences]
The School of Computational Sciences at Korea Institute for Advanced Study (KIAS) invites applicants for the positions at the level of postdoctoral research fellow in Computational Sciences.
The candidates are required to have or expected to receive their doctoral degrees by starting date at KIAS in the relevant research fields: Computational Sciences
o Combinatorics, Algorithm, Extremal Graph Theory, Computing Theory
o Programming Language, AI Theory or Machine Learning
o AI-Driven Biophysics and Structural Biology
o Development and Application of Classical and Quantum Algorithms for Quantum Many-Body Theory
o Quantum Computation & Information Science
o Data Sciences, Complex Networks, Mathematical Biology
o Theoretical and Computational Biophysics
o Soft Matter Physics, Physical Chemistry and Theoretical Chemistry
o Theoretical and Computational Condensed Matter Physics and Materials Sciences
Applicants are expected to have demonstrated exceptional research potential, including major contributions after or through the doctoral dissertation.
The annual salary is provided in accordance with KIAS regulations and covered by Korean national health insurance. Additional benefits include individual research grants and benefit cards. The initial appointment for the position is for two years and is renewable once for up to two years, depending on research performance and the needs of the research program at KIAS.
For the detailed information regarding salary and research grant, Please refer to KIAS Employment information website. (School of Comp.Sci)
Applications must include (1) a curriculum vitae, (2) a list of publications, (3) a research plan, and (4) 3 letters of recommendation.
All documents, prepared in English, should be submitted through KIAS recruitment webpage <https://jobs.kias.re.kr> by October 31, 2026.
KIAS complies with the EQUAL EMPLOYMENT OPPORTUNITY AND WORK-FAMILY BALANCE ASSISTANCE ACT. Women and minorities are strongly encouraged to apply.
