Job Description:

This hands-on 12-week internship will immerse you in cutting-edge computational science, where you’ll compare and optimise two fundamental approaches for solving systems of equations.

During this placement, the successful candidate will be working on:

• Matrix-based methods – solving entire systems simultaneously using advanced numerical techniques like matrix inversion and iterative solvers.

• Parallelised equation-by-equation approaches – rethinking the system to enable iterative, dependency-aware solutions that leverage parallel processing.

The goal of this internship will be to benchmark performance, identify computational bottlenecks, and determine where each method excels. Along the way, you’ll work with C++ numerical libraries, conduct parametric studies, visualise results and document key insights in a technical report.

The successful applicant should have the following qualities and abilities:

• You’re studying Mathematics, Physics, Computer Science, or a related field.

• You have experience coding in C++ and working with numerical libraries

• You enjoy analytical challenges, data visualisation, and independent research.

• (Bonus) You’ve dabbled in MPI parallelisation or worked in Linux environments.

Process details:

• 12 weeks minimum fixed term contract to be agreed with successful candidate

Working at Magdrive:

Magdrive is developing the next generation of spacecraft propulsion for satellites today, deep space and beyond tomorrow.

With high thrust and high efficiency at low mass, the Magdrive’s magnitude improvement in manoeuvrability enables entirely new missions and business models, including

- high cadence avoidance manoeuvres in congested Low-Earth Orbit.

- repeated rendezvous and close-proximity operations for satellite servicing and orbital manufacturing.

- stochastic movement to make defence satellites untraceable.