Research Field Guide
How to Get a Materials Science Research Position
To get a Materials Science research position, find professors who are actively publishing in Materials Science, read what they actually work on, and email one of them a short, specific note. The work mixes in-person and computational tasks, so there is a way to help either on-site or remotely.
Below are 12 professors publishing in Materials Science right now, what each is working on, and how to reach out. Every name and topic is pulled from real, recent publication data, not a generic list.
Materials Science professors who are actively publishing
| Professor | Institution | Recent research focus |
|---|---|---|
| Takashi Taniguchi | University of California, Riverside | Graphene research and applications |
| Georg Kresse | University of Vienna | Machine Learning in Materials Science |
| Kostya S. Novoselov | National University of Singapore | Graphene research and applications |
| John P. Perdew | Tulane University | Machine Learning in Materials Science |
| Yury Gogotsi | Nanomaterials Research (United States) | Graphene research and applications |
| Kieron Burke | University of California System | Machine Learning in Materials Science |
| Jens K. Nørskov | Technical University of Denmark | Catalytic Processes in Materials Science |
| Omar M. Yaghi | University of California, Berkeley | X-ray Diffraction in Crystallography |
| Jeffrey I. Gordon | Washington University in St. Louis | Enzyme Structure and Function |
| Rodney S. Ruoff | IBM (United States) | Graphene research and applications |
| Kenji Watanabe | Chinese Academy of Sciences | Graphene research and applications |
| A. K. Geǐm | University of Manchester | Graphene research and applications |
Sourced from OpenAlex publication records. Click a name to see their full profile and recent papers.
What Materials Science research involves
Materials science designs and studies the substances that everything else is built from. Active areas include graphene and other two-dimensional materials, catalysis, the crystallography and X-ray methods used to characterize structure, and the fast-growing use of machine learning to predict material properties. The field is genuinely mixed. Synthesis and characterization happen hands-on in the lab, with furnaces, deposition tools, and electron microscopes. But a large and growing share of the work is computational: density functional theory, simulations, and machine-learning models of materials. That means there is an entry point whether you prefer lab work or coding, so read a professor's recent papers to see which side their group leans toward.
How to email a Materials Science professor
Materials labs split between experiment and computation, so aim your offer at the right one. For a computational or machine-learning materials group, offer to help with simulations or data analysis and name your tools, like Python, DFT codes, or experience with materials datasets. For a synthesis or characterization lab, offer to be on-site and learn techniques like sample fabrication, X-ray diffraction, or electron microscopy, and stress your reliability. Either way, reference one recent paper, on graphene or a property-prediction method, for instance, and ask a specific question. Keep it short, skip the praise, and make your first ask a single concrete task.
Materials Science overlaps with nearby fields. If you are casting a wider net, look at research positions in Organic Chemistry, Biomedical Engineering, and Machine Learning.