Opportunities
Seeking a Research Scientist or Postdoctoral Researcher (CPR-PS1903) *Prediction Science
Deadline: Open until filled
The successful candidate will conduct research to pioneer the new “Prediction Science” and to develop the general theory of prediction. The specific research examples include application of data assimilation to new areas, generalization of data assimilation among multiple areas, and applied mathematics of uncertainty quantification (UQ) and topological data analysis. In this project, we collaborate with laboratories in environmental science fields (weather, climate, marine ecology) and life science fields (cell biology, medicine) for specific problems for prediction, and develop the general theory of prediction in collaboration with pure and applied mathematicians and AI and statistical scientists. We will develop new mathematical theories and methods which will serve as a basis for the new “Prediction Science”, apply these new theories and methods to various application areas, and bring virtuous feedback between theoretical developments and application studies.
Seeking a Postdoctoral Researcher or Research Scientist (W20001) *condensed matter theory
Deadline: June 30, 2020
iTHEMS is seeking postdoctoral researcher(s)/research scientist(s) in theoretical condensed matter physics. Successful applicant(s) are expected not only to pursue top-level researches in their own field but also to lead interdisciplinary collaborations among different fields such as mathematics, physics, chemistry, life sciences, engineering, computational sciences, information sciences, and social sciences, under the concept of iTHEMS. This time, we encourage junior applicants who have high research potential in theoretical studies of topological states of matter, Majorana modes, topological quantum computing, mathematical physics, non-Hermitian systems, and related fields.
Seeking a Postdoctoral Researcher or Research Scientist (W20002) *machine learning
Deadline: June 30, 2020
iTHEMS is seeking postdoctoral researcher(s)/research scientist(s) in the field of machine learning. Successful applicant(s) are expected not only to pursue top-level researches in their own field but also to lead interdisciplinary collaborations among different fields such as mathematics, physics, chemistry, life sciences, engineering, computational sciences, information sciences, and social sciences, under the concept of iTHEMS. This time, we encourage junior applicants who have high research potential in theories and applications of machine learning.