R&D PhD Summer Intern: Imaging Technologies

Procter & Gamble

8d•Onsite

About The Position

This internship is specifically designed for individuals working towards a PhD who are developing proficiency in their field. As an intern or co-op in management, you will have the opportunity to learn from experienced professionals in a supportive environment. This is a 12-week paid internship, designed to provide you with a solid foundation for future career growth. The internship will take place from May (potentially early June) to August of 2027. Join us at P&G, where your contributions will play a vital role in shaping the future of consumer products! Procter & Gamble is looking for a PhD student Intern to advance imaging technologies for research and product evaluation. You will design, prototype, and test imaging hardware and capture workflows that improve image quality, measurement repeatability, and quantitative assessment. Your work will combine imaging science, engineering, automation, and image analysis to support stronger product performance and higher quality before-and-after imaging across key programs.

Requirements

Currently pursuing a PhD in Electrical Engineering, Mechanical Engineering, Biomedical Engineering, Optical Engineering, Robotics, Mechatronics, Computer Science, Imaging Science, Applied Physics, or a closely related quantitative engineering or scientific discipline.
Strong analytical and problem-solving skills.
Experience conducting independent research and communicating technical results.
Hands-on experience with experimental research, engineering development, computational methods, or hardware prototyping.
Experience using Python, MATLAB, or a similar scientific programming environment for data analysis, algorithm development, or experimental research.
Available to work a 12-week internship from May/early June to August in the summer of 2027.
It has the expectation to be in the office 4-5 days per week at our Mason Business & Innovation Center location.

Nice To Haves

Experience designing, integrating, calibrating, or testing imaging systems.
Experience with optics, illumination, camera systems, automated positioning or motion-control hardware, and different imaging techniques.
Experience developing computer-vision methods for image registration, object detection, quality assessment, and quantitative measurement.
Experience developing and applying deep-learning workflows using PyTorch, TensorFlow, or similar frameworks.
Record of scientific contributions through peer-reviewed publications, conference presentations, or patents in quantitative bioimaging, computer vision, or a related field.

Responsibilities

Design and prototype imaging hardware and supporting software.
Integrate and evaluate components that impact image capture.
Develop and apply image-processing and image-analysis methods.
Design and conduct experiments to evaluate image quality and overall system performance.
Analyze images and experimental data using different scientific computing tools.
Identify technical challenges, recommend improvements, and document system designs, experimental methods, results, and key learnings.
Communicate findings to multidisciplinary partners and deliver a working prototype, validated workflow, or quantitative evidence of improved performance.