Recruitment: Post Doctoral Researcher

We are seeking a postdoc researcher. (2022/7/1)
This post is filled. (2022/8/31)
We are seeking a postdoc researcher and visiting researchers. (2024/4/1)  

  • Expertise
    • One of control theory, machine learning, optimization, or related fields
  • Qualification
    • Doctoral degree
  • Research topic
    • Control theory harmonized with machine learning and statistical learning theory
  • Location
    • Kyoto University, Kyoto Japan
  • Term
    • Term until September 2025. The position is available immediately, and applications will be accepted until this position is filled.
  • Compensation
    • The salary is determined according to Kyoto University’s rules. Insurance is covered for a postdoc researcher.
    • The expected salary is 400,000 JPY per month.
  • Contact
    • Kenji Kashima ( )
  • Application
    • Please send the following to Kenji Kashima by E-mail:
      1. CV;
      2. One-page cover letter (available start date, experience and motivation);
      3. List of publications;
      4. Name and contact information of one reference.
Recent papers related to this project
  • Minimum energy density steering of linear systems with Gromov-Wasserstein terminal cost, Preprint
  • Entropic model predictive optimal transport over dynamical systems,” Automatica
  • Maximum entropy optimal density control of discrete-time linear systems and Schrödinger bridges, IEEE-TAC
  • Kullback-Leibler control for discrete-time nonlinear systems on continuous spaces, preprint
  • Optimal secret protections in discrete-event systems, IEEE-TAC
  • Learning stabilizable deep dynamics models, preprint
  • Structured Hammerstein-Wiener model learning for model predictive control, IEEE Control Systems Letters
  • Modular control under privacy protection: Fundamental trade-offs, Automatica
  • Sparse control node scheduling in networked systems based on approximate controllability, IEEE-TCNS
  • Deep reinforcement learning for continuous-time self-triggered control, proceedings
  • Simultaneous identification of nonlinear dynamics and state distribution using Jensen-Shannon divergence, proceedings