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Tenure-Track Assistant Professor

Job in City of Rochester, Rochester, Monroe County, New York, 14602, USA
Listing for: American Association of Blacks in Higher Education
Full Time position
Listed on 2026-01-01
Job specializations:
  • Engineering
    Robotics, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: City of Rochester

The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.

The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.

Description

Tenure-Track Assistant Professor

Detailed

Job Description

The Mechanical and Mechatronics 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 Mechatronics, Robotics & Manufacturing, and Mechanical Engineering Technology programs. This position is open at the level of tenure-track Assistant Professor.

Position Overview

Candidates for this position will be expected to teach, publish, and conduct externally funded research in areas related to Mechatronic and Robotics Systems, with integration of Artificial Intelligence (AI) & Machine Learning (ML). 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 PID controllers, state-space control, and advanced control techniques for mechatronic and robotic 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, PLCs, 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.
  • Ability to contribute to growth in biomechatronics, biomechanics, and rehabilitation robotics.
  • Industrial/Manufacturing

    Experience:

    Practical experience in industrial or manufacturing settings is valued but not required.
Responsibilities

Candidates for this position will be expected to teach, publish, and conduct externally funded research in areas related to Mechatronic Systems. Successful candidates will be expected to have a strong emphasis on using artificial intelligence (AI) and machine learning (ML) tools and frameworks to enhance the performance and capabilities of mechatronic systems. This includes data-driven modeling, pattern recognition, predictive maintenance, and intelligent control strategies.

  • Teaching:
    Develop and deliver undergraduate and graduate courses and laboratories, with a focus on integrating AI and ML into mechatronic systems education. Engage in curriculum development to ensure the programs stay current with industry trends and technological advancements. Student engagement in the classroom using activity based pedagogical strategies is expected. Participation in professional development in effective teaching is required.
  • Research:
    Conduct research in a well-defined focus area related to mechatronic systems and AI/ML, secure external funding, and publish findings in peer-reviewed journals. Areas of research could include intelligent mechatronic system design and implementation, AI-driven control systems, digital twin technologies, and predictive analytics in manufacturing. CET has invested in the development and growth of Research Impact Areas:
    Forging our Future;
    Toward a Safer Society, Expanding Human Capacity. These faculty-led collaborative research groups leverage existing expertise and nurture the next generation of faculty leadership.
  • Service:
    Contribute to the department, college, and university through committee work and other service activities. Maintain a clear professional development agenda to support the department's growth and keep…
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