Algorithm Specialist


Details:
  • Salary: £50,000 - 57,000 - Annum
  • Job Type: Permanent
  • Job Status: Full-Time
  • Salary Per: Annum
  • Location: Bristol
  • Date: 5 days ago
Description:

Our GCN (Guidance, Control, and Navigation) team are delivering algorithms across the full life cycle of our products, from concept creation through to in-service support. In this role, you will be working on algorithms that are key to achieve the performance needs of both current and future Weapon and Missile Systems.

Salary: £50,000 - £57,000, depending on experience

Dynamic (hybrid) working: 5 days per week on-site due to workload classification

Security Clearance: British Citizen or a Dual UK national with British citizenship

Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team.

What we can offer you:
Company bonus: Up to £2,500 (based on company performance and will vary year to year)

Pension: maximum total (employer and employee) contribution of up to 14%

Overtime: opportunity for paid overtime

Flexi Leave: Up to 15 additional days

Flexible working: We welcome applicants who are looking for flexible working arrangements

Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments

Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more .

Facilities: Fantastic site facilities including subsidised meals, free car parking and much more...
The opportunity:

As an Algorithm Specialist in GCN, you will have the opportunity to work on complex and exciting concepts and products as part of a passionate team of specialist engineers; and be interacting with other subject areas like Simulation and Modelling, Image Processing, Software, Navigation Sensors, Hardware-in-the Loop, Systems Design & Validation, Seekers & Sensors, Datalinks and Technical Quality.

You'll develop innovative algorithms in the areas of Control, Navigation, Guidance, Tracking, Data Fusion, and Mission Planning. You will be exposed to ground breaking technological innovations and play a meaningful role through the development of our complex weapon systems in all stages of the lifecycle.

What we're looking for from you:
Degree qualification or equivalent experience in a subject with mathematical content (e.g. Aerospace Engineering, Control Engineering, Mechanical Engineering, Mathematics, Physics, Computer Science)

Relevant Post-Doctoral or Industrial experience is a strong advantage

Domain knowledge such as Flight Dynamics, Aerodynamics, Sensors, Servo Systems, Actuators, Autonomous Systems, Robotics, or Mechatronics

Algorithms knowledge such as Modern/Classical Control, Navigation, Data Fusion, Tracking and Guidance, Machine Learning

Tools and Libraries such as Matlab, Simulink, Python, C/C++, Py Torch, Open AI-Gym/Universe, Model based design

Experience of algorithm research and/or product development and support

A keen curiosity about innovative technologies and their applications
Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given

MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom.

We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more...

We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process.

Follow us on LinkedIn (MBDA), X (@MBDA_UK), Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

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