About

• Company Description
• At MatNex, we are pushing the boundaries of possibility in science and technology, starting with the materials that make them. We are a diverse team united by ambition, curiosity, and a shared mission to build a new world from the atom up.
• Job Description
• We are looking for a talented Scientific Software Developers who are talented computational scientists passionate about building cutting edge tools for materials science.
• As a Scientific Software Developer, you will play a crucial role in enhancing our materials modelling suite to predict the properties of promising classes of novel materials, and determining what materials that we need to look at developing next.

You will

• 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.
• Qualifications
• Even if you do not think you are an exact fit for the role, but are passionate about our mission and work we’d still like to see your application!

What we think you will need to be successful

• 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.
• Additional Information

Benefits of working for us

• 📈 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!
• Materials Nexus actively supports equality, diversity and inclusion and encourages applications from all sections of society. Research suggests women only apply when they meet 100% of the criteria. Our hiring data shows female applicants were 3 times more likely to proceed to first round interviews than male applicants. We encourage you to apply even if you do not feel you are an exact fit to the spec as we are excited by diversity of experience and above all passion to make a difference.