Undergraduate Placement: Weapon Systems Algorithms Engineer

MBDA UK

West of England

Hybrid

GBP 24.000 - 26.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Company bonus
Pension up to 14%
Paid overtime
25 days leave + buy/sell
Flexi Leave

Zusammenfassung

MBDA UK invites undergraduates to join the Weapon System Algorithms & Performance (WSAP) team for a 12-month placement starting September 2027. You will apply university learning to real-world projects and technologies, with exposure to algorithm development and system-level performance modelling.

The role offers potential to secure a graduate position after the placement. The package includes a company bonus, a pension scheme with up to 14% total contributions, paid overtime, and generous

Qualifikationen

  • Current undergraduate working towards a degree in Engineering, Physics, Mathematics or Computer Science.
  • We are particularly interested in applicants with a strong interest in mathematics and applying mathematical techniques to engineering problems.
  • Experience in programming for scientific/engineering applications (e.g. MATLAB, Python) would be an advantage.

Aufgaben

  • Develop and optimise algorithms for weapon systems as part of WSAP team.
  • Contribute to system-level performance modelling and concept development.
  • Work on engineering projects using machine learning and algorithm development.

Kenntnisse

Mathematics interest
Python

Ausbildung

Bachelor’s degree in Engineering/Physics/Mathematics or Computer Science

Tools

MATLAB
Python

Jobbeschreibung

MBDA UK invites undergraduates to join the Weapon System Algorithms & Performance (WSAP) team for a 12-month placement starting September 2027. You will apply university learning to real-world projects and technologies, with exposure to algorithm development and system-level performance modelling.

The role offers potential to secure a graduate position after the placement. The package includes a company bonus, a pension scheme with up to 14% total contributions, paid overtime, and generous

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