A leading technology company is seeking a Battery AI Research Scientist Intern to bridge battery research with AI. The role involves curating data, developing AI models, and engaging with academic and industrial partners. Ideal candidates should be pursuing a Ph.D. or advanced degree in relevant fields and have a strong understanding of battery systems and data analysis skills. This position provides mentorship and opportunities for research collaboration and publication.
Qualifications
Currently pursuing a Ph.D. or advanced Master’s in Materials Science, Chemical Engineering, or related fields.
Deep understanding of battery systems (Li‑ion, solid‑state, next‑gen chemistries).
Familiarity with battery testing and degradation mechanisms.
Responsibilities
Curate and preprocess experimental data from battery sources.
Assist in developing domain-specific foundation models for battery R&D.
Connect with academic labs to expand Object’s collaboration network.
Skills
Battery systems
Python
Data analysis
Machine Learning frameworks
Excellent technical writing
Education
Ph.D. or advanced Master's in relevant fields
Tools
PyTorch
TensorFlow
scikit-learn
Job description
A leading technology company is seeking a Battery AI Research Scientist Intern to bridge battery research with AI. The role involves curating data, developing AI models, and engaging with academic and industrial partners. Ideal candidates should be pursuing a Ph.D. or advanced degree in relevant fields and have a strong understanding of battery systems and data analysis skills. This position provides mentorship and opportunities for research collaboration and publication.