
Science • Enterprise
Materials Nexus is a company focused on accelerating materials development for the future. They are dedicated to driving change in the field of materials science, with a mission to innovate and integrate new technologies and methodologies. With offices in London and Cambridge, UK, Materials Nexus represents cutting-edge advancements in the materials industry, aiming to make what once seemed impossible, possible.
11 - 50 employees
🔬 Science
🏢 Enterprise
💰 Seed Round on 2023-07
November 5

Science • Enterprise
Materials Nexus is a company focused on accelerating materials development for the future. They are dedicated to driving change in the field of materials science, with a mission to innovate and integrate new technologies and methodologies. With offices in London and Cambridge, UK, Materials Nexus represents cutting-edge advancements in the materials industry, aiming to make what once seemed impossible, possible.
11 - 50 employees
🔬 Science
🏢 Enterprise
💰 Seed Round on 2023-07
• Develop general-purpose tools for data-driven materials modelling, tackling challenges across a wide range of material classes and applications in an agile environment. • Design and orchestrate workflows of high-throughput calculations, leveraging the tools you develop. • Interface with our high-performance computing environments to maximise the efficiency of calculations. • Collaborate with our science team to identify goals for platform development, opening new avenues for scientific investigation.
• Minimum 2.1 first degree in a Physical Science, Computer Science, or a related field. • 3+/- years of additional relevant experience, or PhD in Physical Science, Data Science, Computer Science, or a related field. • Excellent working knowledge of scientific principles and appreciation of their application to materials challenges. • Some knowledge of the usage, implementation, and theoretical background of the computational modelling of materials. • With experience in methods such as: molecular dynamics density functional theory/ time dependent density functional theory crystal plasticity models kinetic Monte Carlo dislocation dynamics coarse grain modelling • Track record of coding in Python for technical applications. • Passionate about the start-up ecosystem and opportunities presented in early-stage businesses. • You may also have: Experience modelling semiconductor materials and/or working in the semiconductor industry. • Successful track record applying for and/or managing grant funded projects. • Ability in JavaScript, Fortran, Julia or C++. • Understanding of containerisation technology (e.g., Docker). • Experience in application of machine learning (e.g., use of TensorFlow to train models). • Understanding of issues in material sustainability and commitment to addressing them.
• 📈 Stock Options: We value our employees and you to share in the success of the company. You will be a vested partner in our future achievements. • 🌍 Shape the company's future: Joining us at this early-stage presents a unique opportunity to shape the direction of the company and have a meaningful impact as we continue to grow. • 🌴 Flexible holidays: 33 days holiday/year which can be used on UK public holidays or one more convenient days for you. • 🎂 Your birthday day off: Enjoy a well-deserved day off to celebrate and recharge. • 💊 Healthcare: private healthcare services provided through Vitality and Medicash. • 💻 Flexible work arrangements: The team work face to face on an average 3 days per week in our London office. Flexible working times can also be arranged. • 📒 Continuous learning and growth: We’re pioneers in our field, so you'll be encouraged to expand your knowledge and skills in new areas too. • ✈️Work from anywhere: Travel the world while you get your job done - see family, or simply explore a new place!
Apply NowOctober 22
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