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AI / Deep Learning Medical Image Analysis Intern-Cambridge, MA - May - August 2025

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Philips

1mo ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • Cambridge
  • Quick Apply

AI generated summary

  • You must pursue a PhD in a relevant field, have deep learning experience in medical imaging, proficiency in Python and Pytorch, and strong communication skills. Ultrasound knowledge is a plus.
  • You will collaborate on healthcare research, apply deep learning techniques to imaging datasets, design and validate algorithms, conduct evaluations, and contribute to publications.

Requirements

  • Currently studying for a PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or Physical Sciences
  • Experience applying deep learning for medical imaging and conducting research in deep learning
  • Strong proficiency in Python programming language and Pytorch library
  • Experience processing and analyzing medical image data. Experience with ultrasound is a plus
  • Self-motivated with ability to plan and execute research in a team environment
  • Ability to communicate in English effectively, both written and verbal

Responsibilities

  • Collaborate with a team of scientists and engineers on a challenging research project aimed at solving real-world healthcare problems.
  • Apply novel machine / deep learning techniques on large-scale patient imaging datasets.
  • Design, train, and validate algorithms for image and video analysis, detection, and classification.
  • Conduct systematic experimental evaluations leading to scientifically sound conclusions.
  • Contribute to publication of the work.

FAQs

What is the duration of the internship?

The internship is from May to August 2025.

What is the primary focus of the internship?

The primary focus is on AI and deep learning for medical image analysis.

What educational background is required for this internship?

Candidates should be currently studying for a PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or Physical Sciences.

Is prior experience in medical imaging necessary?

Yes, experience applying deep learning for medical imaging and conducting related research is required.

What programming language is essential for this role?

Strong proficiency in Python programming language is essential.

Are there any specific libraries that candidates must know?

Candidates should have experience with the Pytorch library.

Is experience with ultrasound imaging a plus?

Yes, experience with ultrasound imaging is considered a plus.

What is the expected work environment for this role?

This is an onsite role, requiring full-time presence in the company’s facilities for at least 3 days per week.

Are there opportunities for publication during the internship?

Yes, interns will have the opportunity to contribute to the publication of their work.

What is the hourly pay range for this position?

The hourly pay range is $34.00 to $46.00, plus overtime eligibility.

Will relocation benefits be provided for this internship?

No, company relocation benefits will not be provided for this position.

Is U.S. work authorization required for this role?

Yes, U.S. work authorization is a precondition of employment.

What should candidates do if they don’t meet all the qualifications listed?

Candidates are encouraged to apply even if they don’t meet all the experiences needed, as they may still be the right candidate for this or other opportunities at Philips.

How long will the job posting remain active?

The requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected.

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Philips

There's always a way to make life better.

Science & Healthcare
Industry
10,001+
Employees
1891
Founded Year

Mission & Purpose

Philips is a global technology company that focuses on healthcare, consumer lifestyle, and lighting solutions. They are dedicated to improving people's lives through meaningful innovation and advanced technologies. Their ultimate mission is to make the world healthier and more sustainable by providing innovative healthcare solutions that enhance patient outcomes and enable better living. Additionally, Philips aims to enhance people's daily lives with their consumer products, ranging from home appliances to personal care items. Through their lighting solutions, they strive to create efficient and sustainable lighting experiences for individuals and communities, promoting energy conservation and environmental responsibility.