DeepRec.ai
Senior Materials Scientist – Battery Materials & Computational Design
We are hiring a Senior Materials Scientist with deep expertise across next-generation battery materials, computational modeling, and AI-driven materials design. This role sits at the intersection of chemistry, physics, and machine intelligence—driving the discovery and validation of novel materials for high-performance energy systems.
Key Responsibilities
Lead end-to-end battery material development: raw-material chemistry, electrode fabrication, and electrochemical testing.
Build and refine computational models for molecular property prediction, multi‑physics simulation, and materials screening.
Apply AI/ML techniques to accelerate material selection, structure–property prediction, and generative chemistry workflows.
Design experiments, validate computational predictions, and iterate material performance through lab‑based testing.
Collaborate with cross‑functional teams across materials, chemistry, modeling, and hardware engineering.
Core Requirements
PhD in Mechanical Engineering, Aerospace Engineering, Materials Science, Chemical Engineering, Applied Physics, or related field.
Proven experience in battery material R&D, solid‑state systems, or advanced electrode technologies.
Strong background in computational modeling (DFT, molecular modeling, multi‑physics simulations).
Hands‑on experimental validation expertise with electrochemical characterization and material testing.
Knowledge of AI/ML model development for materials informatics, property prediction, or generative chemistry.
Seniority level : Mid‑Senior level
Employment type : Full‑time
Job function : Research, Analyst, and Information Technology
Industries : IT Services and IT Consulting
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Key Responsibilities
Lead end-to-end battery material development: raw-material chemistry, electrode fabrication, and electrochemical testing.
Build and refine computational models for molecular property prediction, multi‑physics simulation, and materials screening.
Apply AI/ML techniques to accelerate material selection, structure–property prediction, and generative chemistry workflows.
Design experiments, validate computational predictions, and iterate material performance through lab‑based testing.
Collaborate with cross‑functional teams across materials, chemistry, modeling, and hardware engineering.
Core Requirements
PhD in Mechanical Engineering, Aerospace Engineering, Materials Science, Chemical Engineering, Applied Physics, or related field.
Proven experience in battery material R&D, solid‑state systems, or advanced electrode technologies.
Strong background in computational modeling (DFT, molecular modeling, multi‑physics simulations).
Hands‑on experimental validation expertise with electrochemical characterization and material testing.
Knowledge of AI/ML model development for materials informatics, property prediction, or generative chemistry.
Seniority level : Mid‑Senior level
Employment type : Full‑time
Job function : Research, Analyst, and Information Technology
Industries : IT Services and IT Consulting
#J-18808-Ljbffr