FAQs
What is the main focus of the AI/ML PhD Internship at GE Healthcare?
The main focus is on developing impactful and innovative deep learning-based products for the Healthcare industry, specifically in medical imaging.
What qualifications are required for this internship?
Candidates must be enrolled in a PhD program in Computer Science or a related field with a specialization in Artificial Intelligence / Machine Learning.
What programming skills are necessary for this role?
Excellent programming skills in Python and familiarity with libraries such as NumPy, pandas, and scikit-learn are required.
Are there any preferred deep learning frameworks that candidates should be familiar with?
Yes, candidates should have knowledge of deep learning frameworks such as TensorFlow or PyTorch.
What type of medical imaging modalities should candidates have familiarity with?
Candidates should be familiar with modalities such as CT, MRI, and X-ray, as well as associated image processing techniques.
Will interns have opportunities to collaborate with other experts?
Yes, interns will collaborate with experts in related fields such as computer vision, software development, and clinical workflow analysis.
What kind of experience is beneficial for applicants?
Experience applying AI/ML techniques to solve real-world problems and building ML/AI systems is beneficial.
Is there an application deadline for this internship?
Yes, the application deadline is April 10, 2025.
Does GE Healthcare provide relocation assistance for this internship?
Yes, relocation assistance is provided.
What work environment can interns expect at GE Healthcare?
Interns can expect a great work environment with opportunities for professional development, challenging careers, and competitive compensation.
Are there any specific employment conditions for candidates?
Candidates must be legally authorized to work in the United States, and any offer of employment is conditioned upon the successful completion of a drug screen, if applicable.