Training

Training ClassroomEach aiM-NRT PhD Fellow will engage in coursework integrated with parallel professional skills development and an experiential internship with opportunities to apply aiM training. The progression through the program, the selection of professional development activities, and the identification of an internship partner will be guided by each student’s Individual Development Plan (IDP).

  • Boot Camp: week-long orientation that will provide fundamental knowledge in AI/DS+ Materials Science, training in professional skills topics as well as developing communication, collaboration, and teamwork skills and getting to know team members.
  • Core courses:
      1. Fundamentals of Data Science for Materials Scientists  OR
      2. Fundamentals of Materials Science for Data Scientists
      3. Applications in Data and Materials Science (ME 555 and CS 590):  Spring 2021
        (Special topics course. AI principles will be applied to a series of materials science example problems, each taught in a module by an expert in materials science or data science.  Each module spans 2-3 weeks, demonstrating an array of data science/AI methods in unique materials case studies in advancing discovery or design principles.)
      4. Joint AI in Materials Capston Project Course (year long)
  • Experiential Internships (3-6 Months): After two years of training in fundamentals and skills application, aiM Fellows will be prepared for an external internship. Two major Internship pathways will be offered over a 3-month summer term (most common) or a longer timeframe:
      1. national laboratory
      2. industrial/entrepreneurial

These collaborative internships will afford access to world-class expertise, unique experiments, and facilities to complement the skills aiM students learn through coursework and research to apply their skills to real-world problems in data-driven materials science and build their professional networks.

  • An ongoing professional development program: will provide both “professional skills” and “technical skills” training all years of the program. Professional skills training will include formal and informal communication as well as K-12 outreach, mentor and mentee training, leadership and collaboration skills, and other skills critical for workforce success.
  • Annual aiM-NRT Challenge Competition: will be open to student teams from across the U.S. who will submit projects that apply AI and machine learning to materials design.

computer-iconPre-Program Preparation

Week-long boot camp providing fundamental knowledge in AI/DS+ Materials Science, training in professional skills topics as well as developing communication, collaboration, and teamwork skills and getting to know team members.

aiM certificate

book iconCore Courses

  • Fundamentals of Data Science for Materials Scientists
    OR
    Fundamentals of Materials Science for Data Scientists
  • Applications in Data and Materials Science 

people iconExperiential Internship

Two major Internship pathways:

  • national laboratory
  • industrial/entrepreneurial

Offered over a 3-month summer term (most common) or a longer time frame.

lightbulb iconCapstone Course

  • Joint AI in Materials Capstone Project Course

Annual Training Schedule

Orientation Year 1 Year 2

Years 3-5

 Boot Camp

  • Overview
  • Materials+Data Science, and Statistics Fundamentals
  • Team Building
  • Professional Skills Development

Core Courses

  1. Fundamentals of Data Science for Material Scientists OR 
  2. Fundamentals of Materials Science for Data Scientists
  3. Applications in Data and Materials Science

Year-Long Core Course 

Joint AI in Materials Capstone Project Course

Experiential Training

Industry or National Lab Internship

Teaching or Mentoring Experiences

       

Professional Skills Activities:
Team Building, Conflict Resolution, Strengths Finder, Mentoring Alignment, Mini Ted Talks

Ongoing Professional Skills Workshops:
Mentor/Mentee Training, Grant/Paper Writing, Public Speaking, K-12 Outreach, Job Interviewing, Leadership, Resilience Training, Entrepreneurship, Teaching, Ethics

 

Ongoing Seminar Series:
Include speakers from industry, national labs, startup companies, other stakeholders

 

Annual Events:
aiM Challenge, Industry Day, Al-Art Competition, aiM Fellows Annual Symposium

  (Required coursework to satisfy Fellows home department graduate degree requirements)