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Algorithm Development Engineer

  • Location

    Bristol, England

  • Sector:

    Aerospace and Defence

  • Job type:

    Contract

  • Salary:

    Negotiable

  • Contact:

    Nick Wallwork

  • Contact email:

    nick.wallwork@morson.com

  • Job ref:

    144621NW1_1533716479

  • Published:

    9 days ago

  • Duration:

    6 Months

  • Expiry date:

    2018-08-15

  • Start date:

    ASAP

The position focuses on the design, development and proving of algorithms for missile, Command & Control (C2) and Mission Planning applications. This includes algorithms in the domains of: control, guidance and navigation image processing for EO and RF systems data fusion, classification/pattern-recognition & tracking decision making and motion/route planning for decision support and autonomous systems.

The role may involves aspects of algorithm design and proving analysis of closed-loop model simulations analysis of sub-system and system trials/firing data generation and maintenance of design documents preparation and presentation of material at reviews working with Systems, Simulation & Modelling and Software Engineers to support the integration and validation of algorithm performance and the embedded software.

The hosting department works through the full lifecycle, including research studies and development/certification. The work of the hosting department is broad, and there is scope for existing team members to be moved around to accommodate candidates with particular skills.

Skills and Knowledge:

A background from a numerate discipline (Engineering, Physics, Mathematics, Computer Science, Information Engineering) with strong mathematical and analytical skills is essential. The main toolset used is Matlab/Simulink, but experience in FORTRAN or C would be relevant for legacy products.

Consequently, candidates must be comfortable with developing , testing and working with algorithms/models using such tools. Ideally candidates should have some knowledge/experience of one or more of the following domains:

Flight dynamics, dynamic systems, optimal control, multivariable control, H-infinity, Mu-analysis, guidance systems, trajectory optimisation, estimation/tracking and Kalman filters, integrated navigation, computer vision, image and signal processing for detection and tracking, autonomous systems, pattern-recognition, decision making, artificial intelligence/machine learning.

However, candidates possessing a strong mathematical background who can apply themselves to these domains are also of interest. Candidates from an academic background are suitable.