The Controls and Robotics laboratory in the Mechanical Engineering at Hanbat National University (located in Daejeon city, South Korea) invites applications for a post-doctoral research position. Our current research projects include novel robotic system actuated by SMA materials, hybrid wheel-leg robots, and tire-road friction estimation.

The main responsibility of this postdoctoral research position is to develop road-tire friction estimation methods/algorithms for an autonomous vehicle system considering vehicle dynamics, actuator controller, tire model, and navigation sensor information. This vehicle model-based friction estimation will be ultimately combined with deep learning-based friction prediction. In addition, the postdoctoral researcher will have opportunities to collaborate with other researchers to design, model, and/or control robot systems in several ongoing research projects such as hybrid wheel-leg robots.

The successful applicant should be familiar with Kalman Filter (KF) techniques, RLS, deep learning techniques, and/or other friction estimation techniques. The applicant should also understand control techniques, dynamics, and kinematics for a mechanical system. It will be beneficial to understand deep learning techniques since we will work together with a deep learning research team in this project.

Furthermore, applicants should have an excellent academic qualification as well as practical research experience in his/her field. Proficiency in written and spoken English is required.

Minimum Qualifications

Earned PhD in Robotics or related fields (mechanical, electrical, control engineering, computer science, and so on).

–   Skill and experience in KF, RLS, and/or Deep Learning techniques for

state estimation of a dynamic system

–   Skill and experience in robot kinematics and dynamics, and controls

This position is open to be filled immediately.

To apply, applicants should send the following in a single PDF file to “youngshik” @ “”

1.      Curriculum Vitae with a list of at least 3 references

2.      Record of publications, with copies of 3 representative papers

3.      A statement about research interest and motivation (max. 2 pages)

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