Each of the associated materials science laboratories will delegate (at least) one individual (a PhD student or post-doctoral fellow) to receive thorough training on methodical concepts and practical tools developed in the GC-MAC program. This on-the-job instruction, provided by GC-MAC experts, will foster wide dissemination of the Centre’s activities. A new cohort of experts in AI-driven energy materials science will be trained to shape future research in this growing field.
GC-MAC offers education and training programs at its partnering laboratories on:
- Methods and tools in theory and computation
- Automated and autonomous synthesis
- Data science and analytics
- Workflow management.
This cross-country and cross-topic experience is an excellent way to stimulate scientific exchange and initiate new collaborations. Training will be offered not only to GC-MAC staff but also to non-GC-MAC students or PDFs from associated materials laboratories and the broader industrial research base.
These individuals will receive expert-type instruction on the use of methods and tools in data handling and analytics; AI-/ML-driven simulation, experimental design, and execution; and modeling-based diagnostics. Further, students will receive close supervision of their educational and scientific pursuits and strong mentorship for career development.