Algorithm Development Engineer

England, Bristol
competitive hourly rate
11 Jan 2019
08 Feb 2019
Neil Freeman
Contract Type
Full Time

An Algorithm Development Engineer is required for a long term contract assignment based in Bristol for a multi-national defence company.

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 ┬Čone 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 strongly mathematical background who can apply themselves to these domains are also of interest. Candidates from an academic background are suitable

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