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Internship Computer Vision Robotics Jobs in Lafayette, IN

Robot Programmer- 3rd Shift

Lafayette, IN · On-site

$89K - $133K/yr

Modify computer-controlled robot movements. * Train customers or other personnel to install, use, or maintain robots. * Program complex robotic systems, such as vision systems. * Assist engineers in ...

Maintenance Technician - Mechanical

Kokomo, IN · On-site

$20.50 - $27.25/hr

Join our vision of becoming the world's leading provider of energy solutions for e-mobility ... Fabrication experience * CAD based software proficiency * Robotics (including end of arm tooling ...

Maintenance Technician - Mechanical

Kokomo, IN · On-site

$20.50 - $27.25/hr

Join our vision of becoming the world's leading provider of energy solutions for e-mobility ... Fabrication experience * CAD based software proficiency * Robotics (including end of arm tooling ...

Internship Computer Vision Robotics information

What are the key skills and qualifications needed to thrive as an Internship Computer Vision Robotics, and why are they important?

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 are Internship Computer Vision Robotics positions?

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.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications, especially in robotics and automation. Skills in machine learning, deep learning, and programming with tools like OpenCV and TensorFlow are in high demand for roles such as internship computer vision robotics. The field continues to grow as new techniques and hardware improve the capabilities of autonomous systems.

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.

What are the big 4 internships?

The 'Big 4' internships typically refer to the internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships are highly competitive and often focus on areas such as consulting, audit, tax, and advisory services, providing valuable experience for students pursuing careers in finance, accounting, or consulting. For a computer vision robotics internship, relevant skills include programming, machine learning, and robotics tools, but the 'Big 4' are primarily known for their accounting and consulting internships.

How to get a robotics internship?

To secure a robotics internship, candidates should have a strong foundation in computer vision, robotics, and programming languages like Python or C++. Gaining experience through relevant coursework, personal projects, or competitions, and demonstrating knowledge of robotics frameworks such as ROS can improve chances. Applying to internships through university career centers or company websites and preparing a technical resume are also important steps.

What does a computer vision intern do?

A computer vision intern assists in developing and testing algorithms that enable computers to interpret visual data, such as images and videos. They often work with machine learning models, programming languages like Python or C++, and tools like OpenCV or TensorFlow, under the supervision of experienced engineers to support projects related to object detection, image processing, and autonomous systems.
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Faculty Fellow - Artificial Intelligence

Ivy Tech

Lafayette, IN

$47K - $64K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Provide instruction (classes and labs) within specific programs; assist academic administrators with curriculum development, student advising, program enrollment; and provide institutional support and community service. Fully support the College's mission and strategic plan initiatives. This position would support the Lafayette campus.
The purpose of a Faculty Fellow position is to provide meaningful teaching experience for recent graduates of masters or doctoral programs with limited classroom experience.
One academic-year contract with a potential for a second academic-year contract. Contingent upon continued funding and satisfactory performance. Two-year maximum allowed per individual per region.
This position is eligible for full-time employee benefits with exception of retirement benefits and tuition reimbursement.

Teaching:

Teach undergraduate courses in artificial intelligence and related disciplines.

Develop new courses and instructional materials in areas such as:

  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Responsible and Ethical AI
  • Data Mining and Analytic
  • Incorporate hands-on projects and industry-relevant tools into coursework.
  • Assess student performance and provide timely feedback.
  • Collaborate with faculty across departments.
  • Mentor students on research, internships, and career development.

Program Development and Service:

Assist in developing AI curricula and academic programs.
Participate in departmental meetings and events.

ESSENTIAL FUNCTIONS:

Instruction: Deliver assigned classes in accordance with college loading policy and course objectives. Develop and maintain course outlines, syllabi, lesson plans, assignments, tests, and other course materials. Maintain student records, attendance, grades, and other documentation as required. Maintain a safe, quality classroom/ lab, including equipment, supplies, inventory and maintenance.

Professional Development: Participate in professional development or other activities that may include in-services, courses, or seminars to advance instructional and technical skills as well as knowledge within the field of study.

Community Service: Participate in community service activities on behalf of the college to advance the college's relationships within its service area as appropriate for department/school.

Institutional Support: Provide institutional support as expected by college administration that may include curriculum development, classroom management, accreditation efforts, committee and task force assignments, attendance at commencement or other activities that are college-wide or specific to the department/school of the faculty member.

Advising: Provide student advising support as expected by college administration that may include assistance during pre-and regular registration periods and during posted office hours.

Program Management: Maintain office hours in accordance with the faculty loading guidelines in the Academic Support and Operations Manual (ASOM). Support Program Chair in program management activities.

OTHER FUNCTIONS:

Assist in the recruitment of students.
Develop community/industry contacts.
Serve and participate in campus, regional, and College-wide professional and community activities, committee meetings, and task forces.
Participate in student recognition ceremonies. Maintain budget requirements.

Tools/Equipment Needed: Must have strong working knowledge of current technologies appropriate to area of instruction. The above list of duties is not to be construed as an exhaustive list. Other duties logically associated with the position may be assigned.

Compensation: $55,000 salary base calculated on a 9-month academic year contract. Optional summer contract available based on enrollment and staffing needs.

Required Qualifications:

Masters degree in Computer Science, Software Development, Artificial Intelligence, Data Science, Electrical Engineering, or a closely related field by the appointment start date.
Demonstrated expertise in one or more areas of artificial intelligence.
Strong programming skills in languages such as Python, R, or Java.
Excellent written and verbal communication skills.

Preferred Qualifications

  • Experience with generative AI and large language models.
  • Industry experience in AI or machine learning.
  • Commitment to ethical and responsible AI practices.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Areas of Interest

Candidates with expertise in any of the following areas are encouraged to apply:

  • Machine Learning and Statistical Learning
  • Natural Language Processing
  • Computer Vision
  • Robotics and Autonomous Systems
  • Human-AI Interaction
  • Reinforcement Learning
  • Explainable AI
  • AI Safety and Governance
  • Responsible and Ethical AI
  • Healthcare AI
  • Cybersecurity and AI

Ivy Tech is committed to supporting the well-being, growth, and financial security of our full-time faculty and staff. Our comprehensive benefits package includes:

Health & Wellness

  • Multiple medical plan options paired with a Health Savings Account with a generous employer contribution

  • Dental plan with no-cost preventive services and coverage for orthodontia

  • Vision plan with low-cost exams and allowances for glasses or contact lenses

  • Employee Assistance Program offering no-cost confidential counseling sessions, legal consultations, financial planning consultations, and other resources

  • Wellness program with opportunities to earn $250 in Wellness Rewards

  • Flexible Spending Accounts for healthcare (limited purpose) and dependent care

Retirement & Financial Security

  • 10% employer retirement contribution, fully vested after two years

  • Basic life insurance equal to annual salary paid by the College, with optional supplemental coverage

  • Short-term and long-term disability benefits

Educational Benefits

  • Fee remission for employees, spouses, and dependent children

  • Tuition assistance for undergraduate, graduate, and doctoral programs

  • Paid professional development opportunities

WorkLife Balance

  • Generous paid time off, including vacation, sick leave, holidays, and winter recess

  • Flexible work arrangements where available

  • Paid childbirth recovery leave (8 weeks)

  • Paid parental leave (4 weeks)

Additional Perks

  • Eligibility for Public Service Loan Forgiveness

  • Additional discounts on gym memberships, transportation, and various retail services

Ivy Tech is proud to offer benefits that support your health, your family, and your future-because when our employees thrive, our students and communities thrive too. For more information on Ivy Tech Benefits, visit https://careers.ivytech.edu/benefits.

Note: Employees who re-hire with the College within 180 days of leaving a full-time position with the College may be eligible for additional benefits depending on their bridged seniority date.


Ivy Tech Community College is an accredited, equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, marital status, religion, sex, gender, sexual orientation, gender identity, disability, age or veteran status. As required by Title IX of the Education Amendments of 1972, Ivy Tech Community College does not discriminate on the basis of sex, including sexual harassment in its educational programs and activities, including employment and admissions. Questions specific to Title IX may be referred to the College's Title IX Coordinator or to the US Department of Education Office of Civil Rights.