Senior Systems Engineer - Applied Mathematics
- Recruiter
- Confidential
- Location
-
Luton
East of EnglandUnited Kingdom
- Salary
- Competitive
- Posted
- 12 May 2021
- Closes
- 09 Jun 2021
- Job Title
- IT Director
- Category
- Engineering
- Contract Type
- Permanent
- Hours
- Full Time
Leonardo has a fantastic opportunity for a mathematician to join our Systems Engineering team.
The candidate will use their knowledge of mathematical techniques, modelling, and machine learning to develop novel algorithms and solve complex problems in the realms of signal processing and data fusion. The algorithms developed will be pivotal in achieving the required capabilities and performance for a multi–function sensor and countermeasure system for the next–generation Tempest aircraft.
The mathematician will be part of a multi–disciplinary team, working with other mathematicians, but also systems and software engineers within the Combat Air business group.
What you will get:
Advanced Technology: You will have the ability to contribute to the development of market–leading product development, providing advanced capability and protection to UK platforms.
Agile Systems Engineering: Apply and develop your mathematical skills as part of systems engineering in a fast–paced and dynamic agile development team.
EW Expertise: Leonardo has subject–matter experts with extensive and detailed knowledge of the EW domain, technology, performance, and operational capabilities
Continuous Learning: Whether it's EW, engineering lifecycle processes, leadership, or personal development, you'll be supported in your ongoing professional development though training and mentoring.
Teamwork: You will work alongside like–minded professional engineers in a highly collaborative environment.
Connections: You will be joining an expansive team of around 7,000 people at six major sites across the UK.
EW Heritage: We are proud of our rich heritage in EW, with 100 years of pioneering EW development. Today we're providing the latest advances in sensor technology and enabling our customers to keep pace with an ever–evolving EW environment.
What you will do
Utilise your mathematical knowledge and expertise to develop novel algorithms and system models for a next–generation EW sensor and effector system.
Implement algorithms onto target hardware via auto–coding techniques to allow integration and execution with wider components of the EW sensor and effector system.
Employ a model–based systems engineering (MBSE) approach, utilising mathematical / engineering modelling tools (e.g. MATLAB and Simulink).
Perform analysis of data recorded on flight–trials and/or synthesised by simulation to support design improvements and influence requirements.
Produce and deliver technical documents and presentations to report key findings and recommendations to immediate project team members and wider stakeholder groups.
Liaise with specialist teams to gain key knowledge and understand factors influencing your work.
Develop your understanding of the systems engineering lifecycle and how airborne EW products are designed, developed, and delivered within this lifecycle.
Actively participate in an Agile scrum development team, executing agreed tasking within defined sprint cycles and reporting on progress.
Maintain awareness of project goals and milestones with which to align personal activities with project–level aims, whilst working iaw project and company processes and guidelines.
What we are looking for
You really must have:
Strong mathematical skills and able to demonstrate how these skills have been applied to developing systems or products.
Strong analytical skills and ability to consider varying levels of abstraction when assessing data and proposing solutions,
Experience of performing trade–off studies to identify and select candidate solutions, and able to present a clear and concise rationale for the chosen approach,
Able to make recommendations and propose design decisions even when faced with a high degree of complexity and uncertainty.
Self–motivated with an aptitude for problem–solving and driving difficult issues to conclusion.
Sound verbal and written communication / collaboration skills.
Fundamental knowledge of physics, (e.g. electromagnetic waves, laws of motion) and ability to apply this knowledge to solving real–world problems.
It would be nice if you had:
A PhD in a mathematical or related discipline and an emerging publication record.
Skilled with modelling tools such MATLAB and Simulink.
Knowledge of artificial intelligence/machine learning techniques.
Experience of coding (e.g. C++).
Knowledge of auto–coding from modelling tools.
Understanding of passive / active EW detection and countermeasure systems
Knowledge of airborne and ground–based radar systems.
Expertise with MBSE processes, tools (e.g. Cameo Systems Modeler,) and languages (e.g. SysML).
Experience of Agile development methodologies
The candidate will use their knowledge of mathematical techniques, modelling, and machine learning to develop novel algorithms and solve complex problems in the realms of signal processing and data fusion. The algorithms developed will be pivotal in achieving the required capabilities and performance for a multi–function sensor and countermeasure system for the next–generation Tempest aircraft.
The mathematician will be part of a multi–disciplinary team, working with other mathematicians, but also systems and software engineers within the Combat Air business group.
What you will get:
Advanced Technology: You will have the ability to contribute to the development of market–leading product development, providing advanced capability and protection to UK platforms.
Agile Systems Engineering: Apply and develop your mathematical skills as part of systems engineering in a fast–paced and dynamic agile development team.
EW Expertise: Leonardo has subject–matter experts with extensive and detailed knowledge of the EW domain, technology, performance, and operational capabilities
Continuous Learning: Whether it's EW, engineering lifecycle processes, leadership, or personal development, you'll be supported in your ongoing professional development though training and mentoring.
Teamwork: You will work alongside like–minded professional engineers in a highly collaborative environment.
Connections: You will be joining an expansive team of around 7,000 people at six major sites across the UK.
EW Heritage: We are proud of our rich heritage in EW, with 100 years of pioneering EW development. Today we're providing the latest advances in sensor technology and enabling our customers to keep pace with an ever–evolving EW environment.
What you will do
Utilise your mathematical knowledge and expertise to develop novel algorithms and system models for a next–generation EW sensor and effector system.
Implement algorithms onto target hardware via auto–coding techniques to allow integration and execution with wider components of the EW sensor and effector system.
Employ a model–based systems engineering (MBSE) approach, utilising mathematical / engineering modelling tools (e.g. MATLAB and Simulink).
Perform analysis of data recorded on flight–trials and/or synthesised by simulation to support design improvements and influence requirements.
Produce and deliver technical documents and presentations to report key findings and recommendations to immediate project team members and wider stakeholder groups.
Liaise with specialist teams to gain key knowledge and understand factors influencing your work.
Develop your understanding of the systems engineering lifecycle and how airborne EW products are designed, developed, and delivered within this lifecycle.
Actively participate in an Agile scrum development team, executing agreed tasking within defined sprint cycles and reporting on progress.
Maintain awareness of project goals and milestones with which to align personal activities with project–level aims, whilst working iaw project and company processes and guidelines.
What we are looking for
You really must have:
Strong mathematical skills and able to demonstrate how these skills have been applied to developing systems or products.
Strong analytical skills and ability to consider varying levels of abstraction when assessing data and proposing solutions,
Experience of performing trade–off studies to identify and select candidate solutions, and able to present a clear and concise rationale for the chosen approach,
Able to make recommendations and propose design decisions even when faced with a high degree of complexity and uncertainty.
Self–motivated with an aptitude for problem–solving and driving difficult issues to conclusion.
Sound verbal and written communication / collaboration skills.
Fundamental knowledge of physics, (e.g. electromagnetic waves, laws of motion) and ability to apply this knowledge to solving real–world problems.
It would be nice if you had:
A PhD in a mathematical or related discipline and an emerging publication record.
Skilled with modelling tools such MATLAB and Simulink.
Knowledge of artificial intelligence/machine learning techniques.
Experience of coding (e.g. C++).
Knowledge of auto–coding from modelling tools.
Understanding of passive / active EW detection and countermeasure systems
Knowledge of airborne and ground–based radar systems.
Expertise with MBSE processes, tools (e.g. Cameo Systems Modeler,) and languages (e.g. SysML).
Experience of Agile development methodologies