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8 days ago
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Algorithm Development Engineer


Morson International
Salary: Negotiable
Location: Bristol
Job type: Contract
Contact: Nick Wallwork
Sector: Engineering, Military & Defence
Category: Engineers Jobs
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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.

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.


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