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Battery Modelling and Analytics Scientist
Up to 800000kr per annum
Energy Storage
Europe
Norway
Permanent
On-site
Battery Modeling and Analytics Scientist
📍 Location: R&D Centre
💼 Job Type: Senior Engineer / Scientist

Passionate about advancing battery technology and transforming energy storage? A dynamic team is seeking a Battery Modeling and Analytics Scientist to drive innovation in developing next-gen battery technologies aimed at enhancing performance, extending lifecycle, and improving safety for EVs and grid storage applications.

About the Role:

As a Battery Modeling and Analytics Scientist, this role involves refining electrochemical models and applying data analytics to explore battery performance and degradation mechanisms. Working alongside a cross-functional team, this position shapes the future of energy storage by integrating cutting-edge modeling techniques and advanced analytics.

Key Responsibilities:

Battery Modeling: Develop and refine multi-physics and electrochemical models (ECM, P2D, P3D) for advanced battery chemistries.
Degradation Analysis: Model and analyze degradation mechanisms (e.g., SEI formation, lithium plating) affecting performance and longevity.
Data Analytics: Leverage machine learning and statistical methods to analyze performance data, identify trends, and drive product improvements.

Model Integration: Collaborate with simulation teams to integrate models for comprehensive performance predictions.

Experimental Validation: Design and conduct experiments to validate models, including cycle life testing and thermal assessments.

Tool Development: Contribute to real-time battery monitoring tools for diagnostics and predictive maintenance.

Collaboration & Documentation: Engage with research labs, universities, and internal teams for continuous model and method advancements.

What's Needed:

Education: Ph.D. or M.S. in Electrochemistry, Mechanical Engineering, Chemical Engineering, Materials Science, or Physics.

Experience: 3+ years in battery modeling, particularly with lithium-ion expertise.
Technical Skills: Proficiency in Python, MATLAB, C; experience with tools like COMSOL, GT-Autolion, and PyBaMM; and multi-physics modeling expertise.

Analytical Skills: Advanced data analytics, machine learning, and experimental data interpretation.

Soft Skills: Adaptable, collaborative, and flexible in a fast-evolving field.

Ready to make a difference in energy storage technology?

Apply to join a team focused on shaping the future of battery innovation! 🌍


Piper Maddox is acting as an Employment Agency in relation to this vacancy.
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