The SEAS Traineeship is a combination curricular and co-curricular activities designed to complement the research initiatives, resulting in Trainees acquiring skills to effectively communicate, collaborate, and lead interdisciplinary teams. Trainees are required to complete curricular requirements and actively participate in co-curricular activities.

Materials Informatics Graduate Certificate

The Materials Informatics Graduate Certificate Program fulfills coursework requirements of the SEAS Traineeship. For full details, please visit:

Lab Rotations

Statistics PhD Fellow at the Argonne National Lab Advance Photon Source

Goals and Objectives: Lab rotations are an integral component of the SEAS traineeship with goals to broaden trainees understanding of research in various disciplines and to build a community of scientists through interdisciplinary collaborations. All first-year trainees and new Bridge to PhD trainees participate in lab rotations. The objectives are to (i) expose students to scientific procedures and techniques in other disciplines, (ii) increase understanding and knowledge of the contributions of each discipline to data-enabled research at the atomic level, (iii) develop broad-based skill sets (iv) promote collaboration, communication, and community among disciplines and trainees. This experience is structured to provide a glimpse into the research areas of faculty and other SEAS trainees.


Research Clusters:

  1. Simulation/Computational: Brenner, Yingling, Patala, Irving, Pasquinelli
  2. Experimental: Dickey, Jones, Ade, Martin, Ford
  3. Stats/Math Analysis: Reich, Smith, Wilson


Trainees will actively engage in experimental and analysis processes in the three identified research clusters: simulation/computational, experimental, statistics/mathematics. Each rotation should clearly identify the research questions, provide information in the tools that are used, demonstrate the type(s) of data that is generated, and how data is analyzed. At the end of the rotations, trainees will summarize their experiences in each rotation and present results to the group.

Training Modules

The following tools provide trainees, and those seeking additional background, with information on a number of data science-related topics in experimental and computational materials science, mathematics, and statistics.

Feb 7, 2020 Roger French Case Western University C-Si Photovoltaic Module Degradation across Stressors and Climate Zones: Doing Materials Data Science at Scale with Time-SAERIES AND Image Datasets
Jan 17, 2020 Rampi Ramprasad Georgia Tech Polymer Informatics: Current Status and Critical Next Steps
Dec 9, 2019 Yibin Xu National Institute for Materials Science, Japan Towards Materials Big Data: Expectations and Challenges
Nov 8, 2019 Sergei Kalinin Oak Ridge National Lab A Material Opportunity: How Microscopy and Autonomous Experimentation can Accelerate Materials
Aug 30, 2019 Raymundo Arroyave Director, D3EM NRT and Professor of MSE at Texas A&M 
Beyond High-throughput Materials Discovery: Bayesian Multi-Objective Discovery of Materials under Model Uncertainty and with Multiple Information Sources
Jan 18, 2019 Taylor Sparks Associate Professor at University of Utah Harnessing Data Science to Transform Experimental Materials Discovery
Sept 28, 2018 Michael Demkowicz Associate Professor of MSE at Texas A&M Preferential Degradation of Coherent Twin Boundaries in Ni and Ni-Base Alloys
Sept 22, 2017 Bryce Meredig CEO and co-founder of Citrine Informatics Democratizing Large-Scale Data and Machine Learning in Materials Research
April 10, 2017 Katherine Page Instrument Scientist at Oak Ridge National Lab

A suite of development workshops and seminars are offered to enhance trainee’s skills and career preparation

Elements of Design for Data Visualization workshop, Karen Ciccone, Department Head of Data & Visualization Services for NCSU Libraries
Use of Collaborative Research Tools, Trainee/Fellow Matthew Manning
Establishing Research Collaborations, Faculty Panel
Career Development
Individual Development Plan, Ashleigh Wright
Entrepreneurship, Bryce Meredig CEO and co-founder of Citrine Informatics
Translating Your PhD Skills for Non-Technical Careers, Ashleigh Wright
Non-Technical Career Opportunities at Citrine Informatics, Greg Mulholland, co-Founder of Citrine Informatics
Interdisciplinary Opportunities at Sandia National Laboratories:  A Perspective from an Engineering Scientist, Jordan Massad of Sandia National Laboratory
Internships, Trainee/Fellows Jocelyn Chi and Nicole Creange
Networking, Joe Aldinger, Program Manager of Graduate School Accelerate2Industry (A2I) Program
Exploring Career Options in the Academy, Vanessa Anderson, Director of Teaching and Communication Programs
Professional and Personal Branding Workshop Series, Kristin Murphy, Kristin Murphy and Associates Consulting
Interviewing for Industry, James Peerless, Product Manager, Artificial Intelligence, Citrine Informatics
Scientific Storytelling, Ashleigh Wright
Communication Your Science to Diverse Audiences, Graduate School
Elements of Design for Data Visualization, Karen Ciccone, Department Head of Data & Visualization Services for NCSU Libraries
Writing Stellar Research Article Introductions, Meagan Kittle Autry, Assistant Dean of Academic Affairs at William Peace University and Teaching Assistant Professor at NC State in Civil, Construction, and Environmental Engineering
Writing Retreat, Katie Homar, Director of International Engineering Writing Support of the NCSU Graduate School
Personal Development
Staying Motivated in Graduate School: How does Happiness Effect Productivity, Galen Panger of UC Berkeley
Imposter Syndrome
Trainees working on projects during writing retreat
Jordan Massad discussing fellowship opportunities at Sandia National Lab



Applications are no longer being accepted

Group working on Materials and Data Science Hackathon project

Fellowship applications are no longer being accepted