Assistant Professor of Autonomous Systems & Robotics

Anderson University; Anderson, Northern (SC, KY); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Anderson University invites applications for a full-time, 9-month faculty position in Engineering with emphasis in Autonomous Systems and related fields. The appointment may be tenure-track Assistant Professor or Professor of Practice based on qualifications.

The successful candidate will contribute to the undergraduate curriculum and support an Autonomous Systems track, including courses in ML, robots, embedded systems, and hardware/software integration; industry experience is valued.

Qualifications

• PhD in Electrical Engineering, Computer Engineering, Mechanical Engineering, Robotics, Systems Engineering, General Engineering, or related field is required for tenure-track.
• Master's degree in engineering may be considered for Instructor.
• For Professor of Practice, master's degree plus extensive industry experience is required.

Responsibilities

• Teach and contribute to undergraduate engineering curriculum.
• Support Autonomous Systems track with courses in microcontroller interfacing, robotics, ML, autonomous vehicles, embedded systems, signals, controls, sensing, and hardware/software integration.
• Mentor students through lab, design, internship, and capstone experiences.
• Develop and maintain an impactful undergraduate teaching record.

Skills

Autonomous systems

Robotics

Embedded systems

Controls

Sensing

Machine learning

Capstone design

Education

PhD in Electrical Engineering

PhD in Computer Engineering

PhD in Mechanical Engineering

PhD in Robotics

MD/PhD or related advanced rank (for Professor of Practice)

Tools

None

Job description

Anderson University invites applications for a full-time, 9-month faculty position in Engineering with emphasis in Autonomous Systems and related fields. The appointment may be tenure-track Assistant Professor or Professor of Practice based on qualifications.

The successful candidate will contribute to the undergraduate curriculum and support an Autonomous Systems track, including courses in ML, robots, embedded systems, and hardware/software integration; industry experience is valued.