Description

 

Post-Doctoral Position: Robotics

We are seeking a highly motivated and skilled post-doctoral researcher to join our cutting-edge research team in the development of a state-of-the-art robotic-assisted laparoscopic camera system. The research aims to revolutionize minimally invasive surgical procedures by creating a fully insertable camera with wireless control and non-contact actuation capabilities.

Position Description:

The successful candidate will work closely with a multidisciplinary team of researchers and surgeons to advance the current prototype of the robotic laparoscopic camera system. The primary focus of this position will be on addressing the challenges related to closed-loop control, pose tracking, and tissue-camera interaction. The candidate will also be required to develop and implement machine learning methods for part inspection and trajectory planning tasks using robotic manipulators in manufacturing.

Qualifications

 

Key Responsibilities:

Part Inspection and Trajectory Planning: Develop and implement 3D part modeling algorithms with vision sensors or scanners, and the initial task training setup to handle dynamic manufacturing tasks. Develop and implement dynamic inspection and planning tasks with artificial intelligence.

Closed-Loop Control Development: Design and implement novel control algorithms to enable closed-loop camera manipulation. This involves real-time pose tracking, trajectory planning, and ensuring reliable wireless communication between the camera and external actuator.

Pose Estimation and Localization: Develop a robust and accurate pose estimation system for the camera within the abdominal cavity. Investigate and implement localization techniques that can withstand the challenges of strong magnetic fields and uncertainties in the environment.

Contact Force and Stress Analysis: Investigate the interaction between the camera and surrounding tissue. Develop a comprehensive contact model that considers the deformability of both the camera and the tissue to ensure safe and gentle interactions.

System Optimization: Optimize the camera system design to enhance its performance, reliability, and safety. This includes exploring power management strategies, minimizing interference, and improving overall efficiency.

Experimental Validation: Conduct in vitro experiments and ex vivo tests to validate the performance of the developed camera system. Analyze experimental results and iteratively improve the system based on findings.

Collaboration and Communication: Collaborate with team members, surgeons, and external partners. Present research findings in conferences, workshops, and academic journals.

Requirements:

• Ph.D. in Electrical Engineering, Robotics, Biomedical Engineering, or a related field.
• Strong background in control systems, robotics, and mechatronics.
• Proficiency in programming (C/C++, Python, or similar languages).
• Experience with embedded systems, real-time operating systems, and wireless communication.
• Knowledge of image processing and computer vision is advantageous.
• Demonstrated track record of research excellence through publications in reputable conferences and journals.
• Ability to work collaboratively in a team-oriented environment and independently drive research projects.
• Excellent communication skills in both written and spoken English.

This post-doctoral position offers an exceptional opportunity to contribute to groundbreaking research at the forefront of surgical technology. The successful candidate will have access to state-of-the-art facilities and work in a stimulating and dynamic research environment. The position is initially offered for a one-year term, with the possibility of extension based on performance and funding availability.

Interested applicants are invited to submit their CV, cover letter, and contact information for three references.

Job
  Research Professional 
Primary Location
  US-Tennessee-knoxville 
Organization
  Mech Aero&biomed Engineering 
Schedule
  Full-time 
Campus/Institute  Knoxville 
Job Posting
  Oct 2, 2023, 1:28:43 PM