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Internship Computer Vision Robotics Jobs in Mississippi

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Modeling and simulation environments for autonomous or robotic systems * Perception, computer vision, or sonar/acoustic signal processing * State estimation, data fusion, and sensor management * Edge ...

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Internship Computer Vision Robotics information

What is an internship computer vision robotics?

Internship Computer Vision Robotics positions are temporary roles designed for students or early-career professionals to gain practical experience in applying computer vision techniques within robotic systems. Interns in these roles typically work on projects involving image processing, object detection, 3D vision, and integrating visual data into robotic control systems. These internships help candidates build technical skills, gain exposure to real-world robotics challenges, and often require knowledge of programming languages such as Python or C++, as well as familiarity with machine learning frameworks. They are commonly offered by research labs, tech companies, and robotics startups.

What are the key skills and qualifications needed to thrive as an internship computer vision robotics?

To thrive in an Internship Computer Vision Robotics role, you typically need a solid background in computer science, mathematics, and robotics, often supported by coursework or projects in machine learning and image processing. Familiarity with programming languages like Python or C++, and experience using tools such as OpenCV, ROS, and deep learning frameworks (e.g., TensorFlow or PyTorch) are commonly required. Strong problem-solving, teamwork, and effective communication skills set candidates apart in multidisciplinary environments. These skills are essential for developing innovative solutions and collaborating on complex robotics projects.

What types of projects and technologies will I typically work on during an internship in computer vision robotics?

As an intern in computer vision robotics, you will often work on hands-on projects involving tasks like object detection, image segmentation, sensor data processing, or robotic navigation. You may use programming languages like Python or C++, and frameworks such as OpenCV, ROS (Robot Operating System), and TensorFlow or PyTorch for machine learning components. Interns collaborate closely with engineers and researchers, participating in code reviews, testing algorithms on real or simulated robots, and troubleshooting system integration. This role offers exposure to both software development and hardware interaction, providing a comprehensive experience in robotics and computer vision.

What is the difference between Internship Computer Vision Robotics vs Internship Machine Learning?

AspectInternship Computer Vision RoboticsInternship Machine Learning
Required CredentialsRelevant coursework, basic programming skills, familiarity with robotics and vision toolsProgramming skills, math background, familiarity with algorithms and data analysis
Work EnvironmentRobotics labs, hardware integration, software developmentData analysis, software development, research environments
Employer & Industry UsageRobotics companies, research labs, tech firms working on autonomous systemsTech companies, research institutions, AI startups

Internship Computer Vision Robotics focuses on developing systems that enable robots to interpret visual data, combining hardware and software skills. In contrast, Internship Machine Learning emphasizes designing algorithms to analyze data and build predictive models. Both roles require programming knowledge but differ in their application areas and work environments.

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Internship Computer Vision Robotics jobs near you

Postdoctoral Research Associate - Robotics and AI

University of Mississippi

Oxford, MS

Full-time

Posted 22 days ago

University Of Mississippi rating

7.9

Company rating: 7.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

208th of 618 rated colleges and universities

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 Qualifications
  • Ph.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 Qualifications
  • Interest 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 Benefits
  • Salary will be commensurate with qualifications and experience and will follow institutional guidelines. The position includes a competitive benefits package.

Application Materials
  • A 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.

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