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AI/ML PhD Intern

  • Internship
    Full-time
    Summer Internship
  • Data
    Healthcare
  • San Ramon
    Remote

AI generated summary

  • You must be a PhD student in AI/ML with strong Python skills, experience in deep learning frameworks, and knowledge of medical imaging. Teamwork and analytical skills are essential.
  • You will design and test AI models, analyze experiments, collaborate with experts, work with medical data, implement neural networks, develop algorithms, and present findings to diverse audiences.

Requirements

  • Enrolled in a PhD program in Computer Science or equivalent degree with a specialization in Artificial Intelligence / Machine Learning
  • Experience applying AI/ML techniques to solve real world problems
  • Excellent programming skills in Python and familiarity with relevant libraries such as NumPy, pandas, scikit-learn etc.
  • Knowledge of deep learning frameworks such as TensorFlow or PyTorch
  • Familiarity with medical imaging modalities such as CT, MRI, X-ray etc. and associated image processing techniques
  • Experience building ML / AI systems
  • Ability to work independently and collaboratively within a team environment
  • Competence to analyze and interpret experimental results

Responsibilities

  • Design, implement, train and test AI models using appropriate algorithms and tools
  • Conduct experiments and analyze results to determine the effectiveness of different approaches
  • Collaborate with experts in related fields such as computer vision, software development and clinical workflow analysis
  • Work with heterogenous medical data sets including sample size selection, preprocessing and design of experiments
  • Design and implement neural networks to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports
  • Gather and analyze data, devise innovative data science solutions and build prototypes to enable development of high-performance algorithms in scalable, product-ready code
  • Document your work and present your findings to both technical and non-technical audiences

FAQs

What is the duration of the internship?

The internship is a Summer position, typically aligned with the summer academic break.

Is this internship paid?

Yes, GE Healthcare offers competitive compensation for internship positions.

What are the main areas of focus for this internship?

The main focus areas include developing deep learning-based products, medical imaging solutions, and AI/ML applications for healthcare.

What programming languages should I be proficient in?

Candidates should have excellent programming skills in Python and familiarity with libraries such as NumPy, pandas, and scikit-learn.

Do I need to have prior experience in the healthcare field?

While prior experience in healthcare is not mandatory, familiarity with medical imaging modalities and associated image processing techniques is preferred.

Will I be working independently or as part of a team?

You will have the opportunity to work both independently and collaboratively within a team environment, interacting with experts in various related fields.

What qualifications do I need to apply for this internship?

Applicants must be enrolled in a PhD program in Computer Science or a related field with a specialization in AI/ML.

Are there specific AI/ML frameworks I should be familiar with?

Yes, familiarity with deep learning frameworks such as TensorFlow or PyTorch is required.

Will I have the opportunity to present my findings?

Yes, you will document your work and present your findings to both technical and non-technical audiences.

Is relocation assistance provided for this internship?

Yes, relocation assistance is provided for this internship position.

Science & Healthcare
Industry
10,001+
Employees
1892
Founded Year

Mission & Purpose

Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence. As a leading global medical technology and digital solutions innovator, GE HealthCare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform. With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world. We embrace a culture of respect, transparency, integrity and diversity and we work to create a world where healthcare has no limits.