Post Doc Fellow, Aerospace Engineering at University of Cincinnati
Cincinnati, OH 45219, USA -
Full Time


Start Date

Immediate

Expiry Date

19 Nov, 25

Salary

0.0

Posted On

20 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Motion Tracking, Prediction, Robotics, Human Robot Interaction, Manufacturing Automation, Aerospace Engineering, Collaboration, Computer Science

Industry

Education Management

Description

Current UC employees must apply internally via SuccessFactors
Founded in 1819, the University of Cincinnati ranks among the nation’s best urban public research universities. Home to 53,235 students, nearly 12,000 faculty and staff and 350,000+ living alumni, UC combines a Top 35 public research university with a physical setting The New York Times has called “the most ambitious campus design program in the country.”
With the launch of Next Lives Here, the Cincinnati Innovation District, a $100 million JobsOhio investment, the oldest and one of the largest cooperative education programs, a dynamic academic health center and entry into the Big 12 Conference, UC’s momentum has never been stronger. UC’s annual budget stands at $1.85 billion, and its endowment totals $2 billion.
UC is a mission-driven organization where we are committed to student success and positively transforming the community through scholarship and service. We thrive on innovation, making an impact, and fostering an environment where staff and faculty are key contributors to UC’s success.

REQUIRED EDUCATION

Ph.D. in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, or a related discipline.

ADDITIONAL QUALIFICATIONS CONSIDERED

  • Research experience in human-robot interaction and collaboration.
  • Expertise in robotics for human-centered manufacturing automation, particularly in assembly/disassembly tasks.
  • Experience with grasp planning and control of robotic manipulators.
  • Proficiency in vision- and AI-based human motion tracking, analysis, and prediction for enhancing robotic safety.
  • Familiarity with imitation learning and advanced techniques for human-robot collaboration.
Responsibilities
  • Conduct advanced research on robotics and automation, with an emphasis on sensing and monitoring for human-centered manufacturing automation, where robots augment rather than replace human capabilities.
  • Create AI-based safety assessment and decision-making systems to ensure robust risk mitigation in human-robot coexisting environments.
  • Develop HRI technologies to enhance safety in collaborative manufacturing scenarios.
  • Design and develop control strategies to ensure safe robotic operations in shared and dynamic human-robot environments.
Loading...