Underwater Weapon Modeller

2 days ago


Bristol, Bristol, United Kingdom Computerworld Personnel Ltd Full time
About the Job

We are seeking a skilled Underwater Weapon Modeller to join our team at Computerworld Personnel Ltd. In this role, you will be responsible for developing and maintaining high-fidelity, high-integrity, high-complexity mathematical models and performance simulations of technical solutions.

The ideal candidate will have a strong mathematical background and experience with mathematical simulation tools such as Mathworks MATLAB, Simulink, or Python. You will be required to apply the principles of Systems Engineering to support various phases of the engineering development lifecycle.

This is a challenging opportunity to work on a range of operational scenarios and develop system capability solutions. You will utilise modelling and simulation to verify and validate these solutions for customer stakeholders.

Key Responsibilities:

  • Develop, maintain and evolve high-fidelity, high-integrity, high-complexity mathematical models and performance simulations of technical solutions.
  • Conduct mathematical modelling and simulation development devising and evolving algorithmic and design solutions to meet system capability and performance requirements.
  • Utilise mathematical modelling and simulation to identify and develop performance enhancements and novel solutions to improve existing underwater weapon or radar product capability.

Required Skills and Qualifications:

  • A strong mathematical and engineering mind-set with an innovative approach to problem solving.
  • Experience of mathematical simulation tools/languages (e.g. Mathworks MATLAB, Simulink, Pearl, Python, MathCAD).
  • An understanding of factors that can affect the real world performance of underwater weapon or radar systems.

Benefits:

  • A competitive salary of £60,000 - £80,000 per annum.
  • The opportunity to work on a range of complex systems and develop your skills and knowledge.
  • A supportive team environment with opportunities for professional growth and development.

Suitable candidates should have:

  • Further education (or equivalent experience) in a relevant STEM discipline.
  • An understanding of signal processing and/or tracking algorithms and techniques employed on contemporary radio, satellite, radar or sonar real-world systems.


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