Scientific Software Developer

November 23

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Materials Nexus

WebsiteLinkedInAll Job Openings

Machine Learning • AI • Physics • Materials

11 - 50 employees

🔬 Science

🏢 Enterprise

💰 Seed Round on 2023-07

Description

• We are looking for a talented Scientific Software Developer who is interested in greenfield research & analysis to join our team. • 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. • Performing research to understand market requirements and opportunities, particularly related to scientific possibilities, IP 'white space' and sustainability. • Complete IP white space analysis for new material areas and predicted material compositions. • Support commercial activities with technical feasibility studies and grant writing. • 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.

Requirements

• 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. • 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. • Nice to have’s: 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.

Benefits

• 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. • Flexible holidays: 33 days annual leave/year which can be used on UK public holidays or on more convenient days for you. • Fully covered comprehensive private healthcare and mental health support. • Your birthday day off: Enjoy a well-deserved day off to celebrate and recharge. • Work abroad: Travel the world while you get your job done - see family, or simply explore a new place! • Enhanced Family & Carers leave to ensure you get that quality time in when you need it • Flexible work arrangements: our shared office space in Shoreditch is here to help foster collaboration and community. Most of the team is in 2-3 days a week, but we are happy to discuss alternatives as necessary. • 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.