2 of 2 Remote/Hybrid Algorithms Jobs in Reading

adversarial conditions. 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 ...

Fuse Paradigms: Apply Physics-Informed Machine Learning (PIML) and hybrid architectures to complex sensor modelling, data fusion, and target tracking. Defend the Spectrum: Design algorithms engineered to survive and adapt in heavily jammed, spoofed, and contested electronic environments. Paper to Prototype: Evaluate cutting-edge academic research, replicate novel techniques … rapidly adapt traditional ASP/PNT algorithms for challenging, real-world data. Technical Leadership: Act as a Project Design Authority (PDA), contribute to high-value R&D bids, and mentor a high-innovation team of junior engineers. The Toolkit The Sweet Spot: Proven experience implementing hybrid algorithms (classical math + ...