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)
This post has been filled. (2024/5/31)
- 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 (
)
- 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.
- Please send the following to Kenji Kashima by E-mail:
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