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:

TU 1

General aspects of electrochemical energy storage (Fraunhofer ICT) – ca. June 2025

TU 2

Focus on atomic-scale and meso-scale modelling (SCM) – ca. November 2025

TU 3

Focus on machine learning (CNRS) – ca. May 2026

TU 4

Focus on material synthesis and characterization (University of Turku) – ca. November 2026

TU 5

Focus on the basics of high-throughput experimentation (University of Cambridge) – ca. May 2027

TU 6

Focus on battery and cell material characterization (Enerox) – ca. November 2027

TU 7

Workshop on high-throughput and automation technologies for electrochemical storage, showcasing the work of next-generation scientists (Fraunhofer ICT) – ca. August 2028

Funded by the European Union (Grant Agreement no. 101168943).
Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union.
Neither the European Union nor the granting authority can be held responsible for them.

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