Postdoctoral Research Associate - Robotics and AI

University-of-Mississippi; Mississippi; On-site; USD 55,000 - 70,000; Full time

Job summary

The University of Mississippi invites applications for a Postdoctoral Research Associate in robotics and AI within the Department of Mechanical Engineering. The role focuses on applying robotics expertise to real hardware across testbeds, validating AI-enabled systems for reliable deployment, and contributing to proposal development and student mentorship.

Candidates should have a PhD by appointment time and show strong publication records, with hands-on ROS/ROS 2 experience and proficiency in

Qualifications

• PhD required by time of appointment.
• Experience in robotics or autonomous systems (manipulation, navigation, perception, planning, HRI).
• Hands-on experience deploying robotic systems on hardware (ROS/ROS 2).
• Proficiency in Python and ML tools (PyTorch), and systems programming (C++/ROS).
• Strong publication record and good English communication.

Responsibilities

• Develop, implement, and deploy robotics/AI methods on real hardware.
• Improve reliability and real-world deployability with validation and monitoring.
• Lead publications and co-develop proposals with collaborators.
• Mentor graduate and undergraduate students and build reusable testbeds.
• Collaborate with clinical, industrial, and academic partners.

Skills

Python

PyTorch

ROS/ROS 2

C++

Research communication

Education

PhD in Mechanical Engineering, Electrical/Computer Engineering, CS, Robotics, or related field

Tools

ROS/ROS 2

Python

C++

Job description

The University of Mississippi — fondly referred to as Ole Miss — stands as a premier public research institution with a proud legacy of academic distinction. We are devoted to nurturing a vibrant, inclusive community where every member — student, faculty, and staff — can achieve their fullest potential.Job Summary:The Department of Mechanical Engineering at the University of Mississippi seeks a Postdoctoral Research Associate in robotics and AI to join Dr. Xiaopeng Zhao’s research group. We welcome applicants from across engineering and computer science with expertise in any area of robotics, including manipulation, mobile and legged robots, autonomous navigation, perception and computer vision, motion planning and control, learning-based control, human-robot interaction, and sensing and state estimation.The group’s distinctive focus is making AI-enabled robots reliable and deployable in the real world: not only building capable systems, but validating them, monitoring them, and establishing the credibility that lets them be trusted in clinical and industrial settings. You will apply your robotics expertise to real hardware on various testbeds. The role includes a named part in proposal development, mentoring of graduate students, and a clear path toward research-faculty status as external funding grows.Job Description:Develop, implement, and deploy robotics and AI methods on real hardware, in the area that fits your strengths (for example perception, control, planning, learning, manipulation, navigation, or human-robot interaction).Help make those systems reliable and deployable: validation, testing, runtime monitoring, and building the case for safe real-world use.Lead publications, present at leading venues, and co-develop federal and foundation proposals.Mentor graduate and undergraduate students and develop reusable methods, demonstrations, and shared testbeds that build lasting research capacity.Collaborate with clinical, industrial, and academic partners across disciplines.Job Responsibilities:Required QualificationsPh.D. in Mechanical Engineering, Electrical or Computer Engineering, Computer Science, Robotics, Aerospace Engineering, Mechatronics, or a closely related field by the time of appointment.Research experience in one or more areas of robotics or autonomous systems (for example manipulation, mobile or legged robots, navigation, perception, motion planning and control, learning-based control, sensing and state estimation, or human-robot interaction).Hands-on experience building or deploying robotic systems on physical hardware (for example ROS / ROS 2), or a clear track record of moving work from simulation to hardware.Proficiency in Python and modern machine-learning tools (for example PyTorch), and systems-level programming (C++ / ROS).A strong publication record relative to career stage, including at least one first-author paper, and excellent written and verbal communication in English.Preferred QualificationsInterest or experience in making AI-enabled systems trustworthy: verification and validation, uncertainty quantification, runtime monitoring, safety cases, or reliability.Experience with medical or physiological devices, or with industrial automation and manufacturing robotics.Experience contributing to research proposals and mentoring students across disciplines.Compensation and BenefitsSalary will be commensurate with qualifications and experience and will follow institutional guidelines. The position includes a competitive benefits package.Application MaterialsA cover letter describing research interests, relevant experience, and career goals.A curriculum vitae.A statement of research accomplishments and future goals (maximum two pages).Up to two representative publications.Contact information for three professional references.Education Qualifications:PhD (Required)Experience:Interview Requirement:Interview Requirements: Any candidate who is called for an interview must notify the Department of Equal Opportunity/Regulatory Compliance in writing of any reasonable accommodation needed prior to the date of the interview.EEO Statement:The University of Mississippi provides equal opportunity in any employment practice, education program, or education activity to all qualified persons. The University complies with all applicable laws regarding equal opportunity and does not unlawfully discriminate against any employee or applicant for employment based upon race, color, gender, sex, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ethnicity, citizenship, age, disability, military status, protected veteran status, genetic information, or any other legally protected status.Background Check Statement:The University of Mississippi is committed to providing a safe campus community. UM conducts background investigations for applicants being considered for employment. Background investigations include a criminal history record check, and when appropriate, a financial (credit) report or driving history check.Join the Ole Miss Family — Build Your Legacy Here!