Aerodynamic Data Collection
Refinement of measurement technologies
Mathematical optimisation of trajectories and data capture strategies to optimise the operating point within the Quality/Time/Coverage triangle
Developing systems for automated data capture and analysis
Aerodynamic Data Processing
Numerical analysis of measurement quality
Development of existing methodologies for processing force/moment, pressure, and flow field data sources
Specifying and implementing algorithms, including but not limited to ML and DL techniques, to analyse data captured with the goal of providing performance information to aerodynamicists
Mining of historical data to provide new insights and assist in defining development strategies both of tools and aero surfaces
Aerodynamic Data Correlation
Improve aero data correlation between tunnel, CFD and track by assisting development of interoperable APIs for data exchange
Aerodynamic Data Analysis
Developing, refining, and applying data analysis techniques across the domains to provide aerodynamicists with actionable information
Support of aerodynamic Data Lifecycle
Problem investigation, analysis, and rectification
- Minimum 2-year work experience in similar roles
- Strong understanding of scientific programming languages such as Matlab, Python
- Strong understanding of a modern object-oriented language such as C#/Java
- Proficient with established computer/data science, machine learning, signal processing algorithms
- Familiar with established robotics and motion planning paradigms
- Capable of working to tight deadlines
- Proactive development of detailed specifications based on business requirements
- Excellent communication skills at both conceptual and technical levels
- Natural problem-solving abilities
- High degree of attention to detail
- Experience in Motorsports is a plus
- Computer/Data Science qualification or similar discipline to degree level
- Fluency in English
- Permanent
Company
Location
Bicester, England - United Kingdom
Job type
Full-Time
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