Thales
Hybrid Algorithm Lead Researcher
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Hybrid Algorithm Lead Researcher
Hybrid Algorithm Researcher
Location: Reading, United Kingdom
About Thales
Thales is a global technology leader with over 83,000 employees across five continents. In the UK, 7,500+ colleagues deliver cutting-edge solutions in defence, space, aerospace, and digital security.
Our mission? To build a future we can trust by empowering security, stability, and value through transformative technology.
The Opportunity: Fusion of Mathematics & AI for CEME
If you’re an expert at the intersection of deep mathematics and modern AI, we want you. This is more than algorithmic research—it’s about fusing classical physics with adaptive machine learning to deliver robust, explainable, and agile solutions.
As a Hybrid Algorithm Researcher, you’ll:
- Lead low-TRL innovation in Advanced Signal Processing (ASP) and Position, Navigation & Timing (PNT).
- Pioneer hybrid algorithms where strict mathematical rigor meets flexible AI adaptability.
- Design systems resilient to jamming, spoofing, and contested environments—essential for modern electronic warfare.
🧠 The Mission
Fuse paradigms where physics meets intelligence. Your work will impact:
- Advanced signal/phenomenology modelling and real-time data fusion
- State estimation techniques for target tracking in chaotic sensor environments
- Defence-grade algorithmic solutions compatible with legacy and modern systems
- Cutting-edge R&D that transitions lab innovation to field-hardened prototypes
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Collaborate with technical leadership to replicate, adapt, and scale state-of-the-art academic research across: 🔹 Physics-Informed Machine Learning (PIML) 🔹 Hybrid architectures (supervised + unsupervised learning) 🔹 Rapid R&D for low-data, high-uncertainty settings
🛠️ Core Responsibilities & Skills
Technical Expertise Required
- 1+ years in low-TRL ASP/PNT research, ideally at the intersection of hybrid algorithms (e.g., statistical filtering, deep learning, or process modelling).
- Deep proficiency in:
- Time/Frequency domain theory and signal representation (Fourier, Wavelet, or compressed sensing).
- Classical filter design: EKF, unscented Kalman (UKF), or Lie group-based estimation.
- Physics-Informed ML/AI, e.g., reparameterisation of model parameters or neural solver design.
- ** Target tracking & data fusion** with robustness to noisy or jammed signals.
Technical Toolkit
- Primary programming: C++ for prototypes and performance-critical code.
- Rapid ideation/reprojection: Python/numpy + tools like TensorFlow/PyTorch.
- Classic DSP engines: MATLAB, Mathematica, or Octave for exploration.
Additional Expectations
- Academic roots: Minimum STEM qualifier degree (BSc, MSc, or PhD) in Physics, Mathematics, Electrical Engineering, or Computer Science.
- Project leadership: Ability to design research specs, risk-assess, and align trials with programme needs.
- Collaboration: Mentor junior team members while contributing to UK-wide bid strategies.
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⭐ Why Join Thales?
Benefits:
- Competitive compensation + performance-linked bonus
- Work-life balance: Hybrid model (~13:00 finish Friday), 28 days annual leave (expandable).
- Perks for purpose: Paid volunteering day, subsidised healthcare, 24/7 employee well-being support.
- Innovative culture: Private gym discounts, shopping vouchers, B Corp-certified employee discounts.
No more sitting still:
Thales careers blend deep R&D with strategic partnerships—positioning you at the forefront of military tech innovation.
🔒 Security Clearance
This role requires basic SC clearance. If held: acceleration. If not:
- Meet 5-year UK residency (or exceptions per recent service history).
- Visit UKSV guidance for full details.
💼 Inclusivity & Opportunities
Thales champions diverse strengths. We thrive on: 🌍 Empowerment of underrepresented groups. 🎯 Tailored networking/networks for every professional background. 🐦 Flexible working aligned with our hybrid model.
Shouldn’t match this role? Join our talent pool for future opportunities: 📌 [Become part of Thales Talent Community](insert link)
Let’s innovate your future — apply today!
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