# 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 ( )

- 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

##### 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