Next-Gen Battery Research: Graduate Summer Internship
Introduction
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.
Your Role and Responsibilities
At IBM Almaden Research Center, we are looking for a passionate graduate student who is interested in exploring artificial intelligence (AI) use cases in next-gen battery development over the summer. The candidate will focus on discovering new and more sustainable materials for next generation batteries. A strong background in material science and materials characterization with basic understanding on electrochemistry and electrochemical devices is required for this position. Experience in the characterization of battery materials and interpretation of battery performance are preferred. Experience in AI and machine learning driven materials discovery based on coding and data analysis skills is highly welcome.
The World is Our Laboratory: No matter where discovery takes place, IBM researchers push the boundaries of science, technology and business to make the world work better. IBM Research is a global community of forward-thinkers working towards a common goal: progress.
Required Technical and Professional Expertise
- A graduate student in material science, computational chemistry, chemical engineering, or other relevant disciplines
- Experience in the battery research and materials characterization
- Proven programming skills (ex. Python, C/C++, R) for AI/ML
Preferred Technical and Professional Expertise
- Experience in data analytics and modeling to extract a structure-property relationship of various materials
- Experience in integration of computational methods (AI/ML) and experiments for accelerated material discovery
- Experience with high-throughput or automated testing systems