PREDICTOR aims to provide 17 doctoral candidates with the scientific and complementary skills they will need for a career in the field of electrochemical energy storage.

They will receive a firm grounding in the scientific skills needed for their individual project work, and a unique understanding of the interface between modelling and simulation, high-throughput experimentation / characterization and self-optimization and data management over different length scales from nano to the macroscopic level. Training in entrepreneurship will help them to progress from theoretical to practical knowledge, and industrial secondments will allow them to experience different schools of thoughts and implement their knowledge in an industrial setting.

Local-level training

Each project partner will provide training to its recruited researchers based on their individual needs. This will involve:

• Training through research leading to a PhD
• Training in transferable skills, such as language and presentation skills or project management
• On-the-job training and specialized scientific and practical training courses relevant to the individual project work of the recruited doctoral candidates
• Visits and secondments, especially to industrial and applied research partners

Network-level training

Seven network-wide training units will be held during the project, aiming to provide the recruited doctoral candidates with the interdisciplinary knowledge needed to transfer their results into industrial applications:

• Training unit 1: General aspects of electrochemical energy storage (Fraunhofer ICT) – ca. June 2025
• Training unit 2: Focus on atomic-scale and meso-scale modelling (SCM) – ca. November 2025
• Training unit 3: Focus on machine learning (CNRS) – ca. May 2026
• Training unit 4: Focus on material synthesis and characterization (University of Turku) – ca. November 2026
• Training unit 5: Focus on the basics of high-throughput experimentation (University of Cambridge) – ca. May 2027
• Training unit 6: Focus on battery and cell material characterization (Enerox) – ca. November 2027
• Training unit 7: Workshop on high-throughput and automation technologies for electrochemical storage, showcasing the work of next-generation scientists (Fraunhofer ICT) – ca. August 2028