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Battery Computational Scientist Lead (No replies)
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Location: London, UK or Remote
Type: Full-time
About Us
We are a cutting-edge startup dedicated to accelerating the development of battery materials through computational chemistry, physics simulations, and machine learning. At our core, we value innovation, collaboration, and a commitment to driving the future of sustainable energy solutions.
The Problem
Discovering new sustainable materials is crucial for our planet’s future. However, it currently takes up to 20 years and costs $10-100m to commercialize a new material with specific properties. Bringing a new battery material from idea to commercialization requires on average 14,000 experiments. Most teams still rely on trial-and-error experimentation during their materials R&D because they lack the expertise or resources to calculate materials properties and simulate materials behaviors with computational methods.
Our Solution
We are building an AI-powered platform that accelerates the development process of new sustainable battery materials. The platform enables R&D teams to run no-code simulations on the cloud, calculate materials properties and predict in-device performance to complement and accelerate their physical experiments. By 2026, we aim to couple this platform with robotic laboratories in order to give R&D teams the ability to run experiments remotely such as solid-state synthesis, materials characterization, and battery testing.
State of Progress
Our vision is to pave the way for a new era of materials development, by making the development process of every material available from just a laptop. We are a team of 6 and have recently completed building our minimal viable product.
Job Description
We are in search of a Battery Computational Scientist Lead with expertise in Density Functional Theory (DFT), Molecular Dynamics (MD), and/or Machine Learning (ML) to join our dynamic team. The chosen candidate will hold a pivotal role in advancing our computational models for battery materials.
Key Responsibilities
Qualifications
Company benefits
Company values
How to Apply
To join our team, please send your CV and cover letter to [email protected].
We encourage candidates from diverse backgrounds and experiences to apply.