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Hybrid Algorithm Researcher
Thales
Reading, GBR
Full-time
Senior
Onsite
Discovered 2 weeks ago
C++MATLABMathematicaPython
Free
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C++MATLABMathematicaPython
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What you will do
- Lead the development of hybrid algorithmic software in C++, MATLAB, Mathematica, and Python.
- Design, adapt, and evaluate hybrid algorithms for sensor modelling, processing, data fusion, tracking, state estimation, and anomaly detection.
- Apply time- and frequency-domain methods, including Fourier analysis, digital sampling, and filter design.
- Review recent research and translate novel techniques into practical ASP/PNT solutions.
- Improve the robustness of traditional algorithms for challenging, real-world data and systems.
- Use machine learning where it adds value, particularly for non-linear dynamics and complex system behaviour.
- Support proposals, bids, and project delivery for research and development activities.
- Mentor junior engineers and help strengthen technical capability across the team.
What we are looking for
You will bring substantial recent experience in low-TRL research and development, ideally within ASP, PNT, sensor fusion, or a related field. You should be confident working across theory and implementation, and comfortable applying hybrid white-box and black-box approaches to real engineering problems.
Essential experience
Experience implementing hybrid algorithms that combine classical and ML-based approaches.
Applied experience in one or more of the following: feature extraction, data fusion, target tracking, image segmentation, image matching, sensor calibration, state estimation, anomaly detection, integrity monitoring, system modelling, or synthetic data generation.
Strong understanding of time and frequency domain methods, including Fourier transforms, digital sampling, and filter design.
Ability to evaluate, adapt, and implement techniques from recent research papers.
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