Posted: Oct 15, 2024

Assistant/Associate Professor

RIT - Rochester , NY
Full-time
Salary: $92,000.00 - $100,000.00 Annually
Application Deadline: Nov 28, 2024
Education

The Manufacturing and Mechanical Engineering Technology (MMET) department in RIT’s College of Engineering Technology (CET) is currently seeking applications from exceptional candidates for a full-time, tenure-track position to support the Mechanical, Robotics & Manufacturing, and Mechatronics Engineering Technology programs. This position is open at the level of tenure-track Assistant or Associate Professor. Salary range will adjust if hired at Associate Professor level. 

Position Overview:
Candidates for this position will be expected to teach, publish, and conduct externally funded research in areas related to Mechatronic Systems, with a strong emphasis on Automated Manufacturing Systems, and Artificial Intelligence (AI) & Machine Learning (ML) related to the manufacturing enterprise. Key expertise areas include:

  • Mechatronic Systems: Expertise in the design, analysis, and control of mechatronic systems, integrating mechanical, electrical, and computer engineering principles.
  • Control Theory and Applications: Strong understanding of control theory and its applications, including feedback control, PID controllers, state-space control, and advanced control techniques for mechatronic systems.
  • Sensors and Actuators: Knowledge of various types of sensors and actuators used in mechatronic systems, such as position sensors, force/torque sensors, encoders, motors, and pneumatic/hydraulic actuators.
  • Embedded Systems: Proficiency in embedded systems design and programming, including microcontrollers, real-time operating systems, firmware development, and interfacing with sensors and actuators.
  • Machine Learning and Artificial Intelligence: Experience in applying ML and AI techniques to mechatronic systems. This includes data-driven modeling, pattern recognition, predictive maintenance, and intelligent control strategies. Proficiency in using ML/AI tools and frameworks to enhance the performance and capabilities of mechatronic systems.
  • Industrial/Manufacturing Experience: Practical experience in industrial or manufacturing settings is valued but not required.