Cambridge Internship | Software

During this 10-12 week internship, you’ll join our teams at our Cambridge office, where you’ll take on meaningful tasks and contribute as a full team member. You’ll gain experience in various technical real-life projects with the opportunity to learn and shape how we do our work.

About the job

Your responsibilities will include:

Working with members of other teams to understand their requirements and implement solutions. Contributing to the production of motor simulation and optimization code.
Developing your knowledge and understanding in maths, physics, engineering and machine learning.

Previous internship projects have:

• modelled anisotropy and axial flux motors
• demonstrated that surface information is sufficient to estimate vital motor metrics such as torque, even on highly irregular training data. Their results have increased our body of evidence that end-to-end learning can be more efficient than specialized models that directly estimate intermediate physical fields.
• created new data visualisations which made it quicker and easier to learn from experimental results and allowed new people to contribute to the process.

Why Join Us?

• Hands-on Experience: Contribute directly to projects that are crucial to our company.
• Mentorship and Growth: Learn from industry experts and build skills in high-demand areas. You’ll work in an inclusive environment that emphasises support, learning, and growth.
• Impactful Work: Help shape the future of sustainable technology and make a real difference in the fight against climate change. Join a fast-growing, mission-driven environment where your contributions matter.
• Flexible Options: We understand the importance of work-life balance, so we aim to offer flexible working hours where possible.

What We’re Looking For

To be eligible for this internship, you should meet the following requirements:

• Currently enrolled in a Bachelor’s, Master’s, or PhD program in Physics, Chemistry, Mathematics, Computer Science, Electronic Engineering, or a related technical field.
• Strong problem-solving skills and a passion for computational and theoretical work.
• Great communication skills and the ability to collaborate well in a team.
• Confident in numerical computing with tools such as NumPy, Torch, JAX, or Rust.
• Eligibility to work in the UK or a valid UK student visa.

Apply Today Join us next summer at Monumo, where your unique perspective and ideas will be valued as part of a diverse and supportive team. Together, let’s create a cleaner, greener future for electric motors.