10 data-"https:" "https:" "https:" "https:" "ISCTE IUL" positions at Korea Institute for Advanced Study
-
links. For more information about the two institutions, please visit https://www.kias.re.kr and https://het.kaist.ac.kr . Period of Appointment: Appointment after May 2026 and within 2026(Contract term
-
referees (three preferred) ※ All documents should be submitted by deadline for full application. Submission a. KIAS Job recruitment website: https://jobs.kias.re.kr/ext/rec/rec_1001.do?ANNC_NO
-
ASSISTANCE ACT」. Women and minorities are strongly encouraged to apply. Application Instructions Interested candidates should submit applications to the KIAS recruitment webpage(https://jobs.kias.re.kr/ext/rec
-
For more information, please contact Ingyeong Shin(phys@kias.re.kr). Application Materials Required: Further Info: https://jobs.kias.re.kr/ext/rec/rec_1001.do?ANNC_NO=REC202511200002 Korea Institute
-
Geometry, Combinatorics, Number Theory, Representation Theory, Information Theory, Geometry, Probability Theory, Optimal Transport Theory, Topology, Machine Learning Theory, High-dimensional Computational
-
find more details below our job recruitment website’s notice https://jobs.kias.re.kr/ext/rec/rec_1001.do?ANNC_NO=REC202510200003 For more information, please contact Ingyeong Shin(phys@kias.re.kr
-
below our job recruitment website’s notice https://jobs.kias.re.kr/ext/rec/rec_1001.do?ANNC_NO=REC202510200002 For more information, please contact Ingyeong Shin(phys@kias.re.kr). Application Materials
-
to receive their doctoral degrees by starting date at KIAS in the relevant research fields: □ Computational Sciences o Cryptography o Data Sciences, Complex Networks, Mathematical Biology o Quantum Computation
-
Sciences o Cryptography o Data Sciences, Complex Networks, Mathematical Biology o Quantum Computation & Information Science o Post-Quantum Cryptography, Homomorphic Encryption and Computing o Theoretical and
-
Theory, Representation Theory, Information Theory, Geometry, Probability Theory, Optimal Transport Theory, Topology, Machine Learning Theory, High-dimensional Computational Geometry, Statistical Learning