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Internship Computational Imaging Scientist Jobs (NOW HIRING)

Kitware's computational imaging team uses traditional and non-traditional image sensors in novel ... PhD in Computer Science, Electrical Engineering, Optics, or related field * Strong publication ...

About the Team You will join our expert Computational Imaging team, where we develop sophisticated ... D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related ...

The Assistant Research Scientist will participate in research activities related to advanced ... Stay current with emerging developments in MRI, computational imaging, artificial intelligence, and ...

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Internship Computational Imaging Scientist information

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$50.5K

$111.3K

$137.5K

How much do internship computational imaging scientist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for internship computational imaging scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Computational Imaging Scientist, and why are they important?

To thrive as an Internship Computational Imaging Scientist, you typically need a background in computer science, electrical engineering, or a related field with knowledge of image processing, algorithms, and mathematics. Familiarity with programming languages such as Python or MATLAB, and experience using libraries like OpenCV or TensorFlow, are commonly required, along with coursework or certifications in computational imaging. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings effectively are important soft skills. These competencies enable effective development, analysis, and communication of imaging solutions within research or industry teams.

What does an Internship Computational Imaging Scientist do?

An Internship Computational Imaging Scientist assists in developing and applying advanced computational techniques to process and analyze images. This role often involves working with large datasets, using programming languages like Python or MATLAB, and collaborating with senior scientists to solve imaging problems in fields such as biomedical imaging, computer vision, or microscopy. Interns may help design algorithms, conduct experiments, and interpret results to support new imaging technologies. The position offers hands-on experience in both research and practical applications of computational imaging.

What types of projects do Internship Computational Imaging Scientists typically work on, and how do these projects contribute to larger team goals?

As an Internship Computational Imaging Scientist, you’ll often work on projects such as developing new image processing algorithms, optimizing data acquisition techniques, or assisting in the design of computational pipelines for imaging applications. These projects are usually part of broader research or product development efforts and directly support the team’s goals of advancing imaging technology and providing actionable insights from complex data. You’ll frequently collaborate with senior scientists, engineers, and sometimes clinicians or product managers, gaining exposure to multidisciplinary teamwork and real-world problem-solving.

What is the difference between Internship Computational Imaging Scientist vs Research Scientist in Computational Imaging?

AspectInternship Computational Imaging ScientistResearch Scientist in Computational Imaging
CredentialsEnrolled in or recent graduate of relevant degree (e.g., computer science, engineering)Advanced degree (Master's or PhD) often preferred
Work EnvironmentInternship programs, collaborative research labs, industry or academiaFull-time research roles in academia, industry, or research institutions
Employer & Industry UsageTech companies, startups, research labs focusing on imaging techUniversities, research institutes, industry R&D departments
Search & Comparison IntentEntry-level, learning-focused roles, internshipsAdvanced research, development, and innovation roles

The main difference is that an Internship Computational Imaging Scientist is an entry-level, temporary position aimed at gaining experience, while a Research Scientist in Computational Imaging is a full-time, often advanced role focused on conducting independent research and development in the field.

More about Internship Computational Imaging Scientist jobs
What cities are hiring for Internship Computational Imaging Scientist jobs? Cities with the most Internship Computational Imaging Scientist job openings:
What are the most commonly searched types of Computational Imaging Scientist jobs? The most popular types of Computational Imaging Scientist jobs are:
What states have the most Internship Computational Imaging Scientist jobs? States with the most job openings for Internship Computational Imaging Scientist jobs include:
What job categories do people searching Internship Computational Imaging Scientist jobs look for? The top searched job categories for Internship Computational Imaging Scientist jobs are:
Infographic showing various Internship Computational Imaging Scientist job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 65% Full Time, 31% Part Time, and 1% Contract. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.
Computational Imaging Researcher

Computational Imaging Researcher

Kitware Inc.

Minneapolis, MN • On-site

Full-time

Posted 21 days ago


Job description

Job Summary:
Kitware Inc. is a research and development software solutions provider focused on advancing science and making a positive impact through innovative technology. The Computational Imaging Researcher will develop robust computational imaging solutions, collaborate with government agencies, and contribute to projects that enhance national security and address real-world challenges.
Responsibilities:
• Develop robust computational imaging solutions to capture and process visual information, often in challenging environments (e.g. turbulence and low lighting)
• Enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, ICCP, WACV, and 3DV)
• Be encouraged to seek funding to grow and develop your own research areas, if you desire
Qualifications:
Required:
• PhD in Computer Science, Electrical Engineering, Optics, or related field
• Strong publication record in top-tier research publications and conferences
• Highly innovative and demonstrated track record for solving difficult technical challenges using imagery
• Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment
• Candidates should include a detailed list of publications as part of their resume/CV
• Due to contractual restrictions, only US Citizens will be considered for this position
• If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance
Preferred:
• Experience with computational cameras (light field cameras, event sensors, SPADs, etc.) is highly desirable
• Experience with deep learning methods is desirable, but not required
Company:
Kitware advances science and technology to make a meaningful difference in the world. Founded in 1998, the company is headquartered in Clifton Park, USA, with a team of 51-200 employees. The company is currently Growth Stage.