[2023-07-15] Congratulations! Dr. Chao Shen has been appointed as an Technical Editor of the prestigious IEEE/ASME Transactions on Mechatronics. Read more 

[2023-03-10] Our new book on "Advanced Model Predictive Control for Autonomous Marine Vehicles" is publised by Springer Nature. Read more 

[2022-12-01] Dr. Chao Shen has been appointed as an Associate Editor of the IEEE Canadian Journal of Electrical and Computer Engineering. Read more 

[2022-11-01] Dr. Chao Shen is invited to serve as the lead Guest Editor for a Special Issue on "Recent Advances in Model Predictive Control and Its Application for Autonomous Vehicle Systems" in IET Control Theory and Applications. Read more 

[2022-09-01] Dr. Chao Shen is invited to serve as the Technical Program Chair of the 2022 IEEE Electrical Power and Energy Conference. Read more 

[2022-06-23] Dr. Chao Shen is invited to serve as the Guest Editor for a Special Topic on "Vehicle Safety and Automated Driving" in MDPI Jounals. Read more

[2022-04-12] Congratulations! Dr. Chao Shen was awarded the NSERC Discovery Grant and the Discovery Launch Supplement. Read more 

[2022-04-10] New Paper! Our paper entitled "NMPC Design for AUV Dynamic Positioning Control with Incremental Input Constraints" has been accepted at the IEEE-IES flagship conference ICPS 2022. Read more 

[2022-03-23] Welcome! Mr. Hang Gu is joining our group as a MASc Student in September 2022. Read more 

Funded PhD Position Available (Winter 2023 or Fall 2023) 

[Description] 

We are looking for a highly motivated student with interest in control, optimization, and robotics. The ideal candidate will be enrolled in the Electrical and Computer Engineering program at the PhD level in the SCE department at Carleton University. The student will be supervised by Dr. Chao Shen and will join the newly established Robotics Control and Optimization Laboratory, based at Carleton University, Ottawa, Canada.

[Topics and Qualifications] 

The envisaged research will focus on the robust control strategies under the model predictive control (MPC) framwork for robotic systems. The study of how uncertainties from model error, inaccuracy in the obtained optimal solution, and the interplay with environmental disturbances influence the performance of robots will be fully investigated, and robust control solutions are expected to be developed and applied to visual servoing applications. 

The candidate needs to have a master's degree in engineering, ideally, with concentration on automation, robotics, or mechatronics, or an (applied) mathematics degree with concentration on dynamics and control. Previous research in control theory, control applications to robotics, or machine/deep learning is an asset. We require excellent academic track record that demonstrates potential for successfully carrying on the project independently. 

The envisaged starting date is Winter 2023 or Fall 2023 (negotiable). Applications will be reviewed as received and the position will remain open until filled. Written and verbal communication skills in English are required, and must meet the admission requirements listed here:

 https://graduate.carleton.ca/international/english-second-language/ 

[Application] 

Applications should include a curriculum vitae and supporting documents. These should be sent electronically as a single PDF file to shenchao@sce.carleton.ca. Submitted documents should include:

1. A curriculum vitae

2. An academic transcript

3. A statement of interest including a summary of past research activities, detailing why you are interested and how you fit in the project. Please keep it brief. 2 pages Maximum. 

4. Names and contact information of 3 references.

We encourage all qualified candidates to apply regardless of age, gender, race, religion, or ethnic background. Note that only selected applicants will be contacted.