What are the responsibilities and job description for the Robotics and Autonomous Systems Faculty position at Kansas State University Salina?
K-State Salina's Department of Integrated Studies seeks an individual passionate about robotics to teach undergraduate courses. K-State Salina’s academic focus is centered around hands-on, applied learning, connecting the classroom to real-world industry scenarios. As a teaching-focused campus, the use of experimentation with high-impact practices are encouraged and supported through a dedication to the Scholarship of Teaching and Learning.
Position Responsibilities
Teaching & Curriculum Development
- Develop and teach new courses and lab experiences in areas such as mobile robotics navigation, embedded systems, sensing and perception, autonomy, and simulation.
- Mentor student projects, applied learning activities, and capstone teams working on autonomous mobile robot systems.
- Contribute to the ongoing growth of the Robotics & Autonomous Systems degree and the associated laboratory spaces.
Applied Research & Industry Collaboration
- Engage in applied research, industry-sponsored projects, and technology development related to autonomous systems.
- Partner with industry stakeholders to support collaborative projects, internships, and workforce-aligned curriculum initiatives.
Service
- Contribute to recruitment, outreach, and community STEM events, including support for clubs, competitions, and campus tours.
- Assist in the ongoing development of the Robotics & Autonomous Systems program and its applied learning mission.
Worksite Description
This position is on-site on the Kansas State University Salina Aerospace and Technology Campus located in Salina, KS. The individual in this position will be expected to engage in the campus community and teach in-person classes.
Minimum Qualifications
- MS in Robotics, Electrical Engineering, Mechanical Engineering, Mechatronics, Industrial Automation, Computer Engineering, or a closely related field upon start of position or before August 2026.
- Programming background with robot operating system (ROS) experience.
The degree requirement is necessary for accreditation purposes and to ensure candidates possess the specialized knowledge, skills, and abilities that can only be attained through a formal educational program at this level.
Preferred Qualifications
- Demonstrated industry experience in developing autonomous robotic systems
- Experience working with IMUs, 3D depth cameras, LiDAR, and various sensors.
- Working knowledge of state estimation and autonomous navigation techniques.
- Experience supervising student teams, mentoring interns, or leading applied learning initiatives.
- Proficiency with modern simulation tools such as Gazebo, Isaac Sim, or MuJoCo.
Sponsorship Eligibility
Candidates must be legally authorized to work in the U.S. on an ongoing basis without sponsorship.
Application Submissions Requirements
• Letter of Interest
• Curriculum Vitae
• Names and contact information for three current, professional references
Application Window
Applications close on April 25, 2026