Tenure-Track Assistant Professor
9913BR
College of Engineering Technology
Mechanical and Mechatronics Engineering Technology
Faculty Type (Tenure Status): Tenure-Track
Faculty Discipline:
Faculty Rank: Assistant Professor
Employment Category: Fulltime
Anticipated Start Date:
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 abreast of advancements in AI and ML applications in engineering technology.
We invite candidates who are passionate about teaching and research in the field of mechatronic systems with a significant focus on AI and ML. We are looking for individuals committed to advancing the integration of these cutting-edge technologies in our programs and contributing to the growth and success of our department.
Department/College Description
Required Minimum Qualifications
- A Ph.D. in Mechanical, Mechatronics, Micro-Electronics, Robotics Engineering, or an earned doctorate in a related field.
- Demonstrated knowledge and potential to teach in one or more of the following areas: Mechatronics system design and development, Instrumentation, Sensors, or Applied Control Systems.
- Ability to contribute to growth in biomechatronics, biomechanics, and rehabilitation robotics.
- A strong publication record in reputable, peer-reviewed journals.
- Previous experience in securing external funding for research is highly desirable.
- Previous industrial experience is highly desirable.
- Ability to contribute in meaningful ways to the college's continuing commitment to cultural and individual differences.
Required Minimum Education Level
PhD
