Center for Artificial Intelligence in Medicine & Imaging

Students

At the AIMI Center, we are dedicated to fostering an environment of learning, innovation, and collaboration. We believe that engaging with students is crucial to our mission of advancing the field of AI in medicine. There are numerous ways for students to get involved with our center, and we are currently seeking motivated Stanford students to help lead our summer research internship program for high school students. This is an excellent opportunity for students to gain hands-on experience, develop leadership skills, and contribute to groundbreaking projects at the intersection of AI and healthcare. 

We encourage high school students to explore our high school programs for opportunities specifically designed for younger learners. We offer unique programs and initiatives aimed at introducing high school students to the fascinating world of AI in medicine. 

Stay tuned to this page for more information on engagement opportunities and how you can become a part of our vibrant community. Whether you're interested in research, development, or outreach, the AIMI community is here to serve and support you. Join us in shaping the future of healthcare and technology!

Summer Research Internship Student Leads

Program Overview

The Stanford AIMI Summer 2024 Research Internship is a dynamic 2-week virtual initiative aimed at high school students interested in Artificial Intelligence/Machine Learning (AI/ML) and healthcare. Designed to be interactive and hands-on, the program combines introductory and technical lectures on AI healthcare fundamentals with mentoring activities, group research projects, social activities, and virtual career lunch talks with guest speakers from academia, industry, nonprofits, and government sectors.

Role Description

We are looking for dynamic and motivated Student Leads to join the staff team of the 2024 Stanford AIMI Summer Research Internship. Student Leads will be crucial in team building, mentoring participants, and troubleshooting AI/ML coding or project-related queries. Working closely with Stanford researchers and postdocs, Student Leads will ensure interns have a productive and enriching learning experience. To learn more about the internship program, please see the program overview recording.

Key Responsibilities

  • Mentor participants on AI in healthcare fundamentals, research project development, and address technical challenges.
  • Assist with AI/ML coding queries and project-related issues, providing solutions and resources.
  • Work with Stanford researchers and other Student Leads to organize mentoring activities, hands-on sessions, and assess students' performance.
  • Facilitate team building to enhance collaboration and support among participants.

Qualifications

  • Enrolled in or a recent graduate of a Stanford University degree program in AI/ML, healthcare, or a related field.
  • Solid foundation in AI/ML, with experience in coding and project development.
  • Exceptional leadership, teamwork, and communication abilities.
  • A passion for mentoring and the ability to inspire and engage students.
  • Experience in teaching, tutoring, or mentorship roles preferred.

Availability Requirements

Must be available for the entire duration of the two-week program, from June 17-28, Monday to Friday, between 9 AM to 12 PM PT. We also expect Student Leads to participate in about 10 hours of training and work alongside instructors. Participation will be mostly online with an in-person kick-off / close-out event.

Stipend

A $1,000 stipend will be provided to Student Leads as an appreciation for their time and efforts.

Application Process

Please complete this application by March 31, 2024.

Student Interns

The AIMI Center has a limited number of unpaid internships for high school and undergraduate students who are interested in getting involved in AI research in medical imaging. Interested students who meet all the qualifications below are encouraged to submit an application here. Qualified students who make it to a second selection round will be given a small coding task to assess technical skills.

Minimum Qualifications:

  • Enjoys coding and has significant Matlab or Python experience
  • Understands basic machine learning concepts
  • Completed basic calculus courses
  • Interested in imaging analysis
  • Able to attend weekly research group meetings (during school breaks) and seminars
  • Able to commit at least 1 year