Job 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.

What you will be doing:

• Material research and material analysis:

  • 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.

  • Work closely with the experimental teams

• Software development:

  • 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

About you

We are looking for talented and, more importantly, passionate individuals who are motivated by the application of science and innovation to achieve net-zero materials. You will be expected to have foundational scientific understanding and the ability to apply this to our problem set but also the drive to learn beyond your current understanding.

➡️ 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! 

Essential - technical:

• 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.

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.

Additional Information

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.

The process

First step: A 30 minute video call with Julia, our People Associate, to learn a bit more about you and what you are looking for!

Second step: A 45 minute video call, with technical team to understand how you can make an impact in this role.

Third step: A 60 minute in person interview, for an opportunity to meet the team!