Hybrid Algorithm Lead Researcher

Thales
Reading
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Skills: ["Technical leadership","Mentoring","Roadmap shaping","Collaboration","Problem-solving"]

Lead low-TRL R&D in Advanced Signal Processing and Position, Navigation & Timing by fusing classical math with machine learning. Apply physics-informed machine learning and hybrid architectures to sensor modelling, data fusion, and target tracking, designing algorithms resilient to jamming, spoofing, and contested electronic environments. Evaluate academic research, prototype robust methods fast, and act as Project Design Authority while mentoring junior engineers and shaping the technical roadmap.

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FursaFursa
Thales
Thales
2 months ago

Hybrid Algorithm Lead Researcher

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Last checked: 4 hours agoStatus: Live

Job Summary

Lead low-TRL R&D in Advanced Signal Processing and Position, Navigation & Timing by fusing classical math with machine learning. Apply physics-informed machine learning and hybrid architectures to sensor modelling, data fusion, and target tracking, designing algorithms resilient to jamming, spoofing, and contested electronic environments. Evaluate academic research, prototype robust methods fast, and act as Project Design Authority while mentoring junior engineers and shaping the technical roadmap.
Location: Reading
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Sr. Manager level

Key Responsibilities

  • •Fuse physics-informed machine learning and hybrid architectures for sensor modelling, data fusion, and target tracking.
  • •Design algorithms resilient to heavily jammed, spoofed, and contested electronic environments.
  • •Evaluate academic research, replicate novel techniques, and rapidly prototype ASP/PNT methods for real-world data.
  • •Act as a Project Design Authority and contribute to high-value R&D bids.
  • •Mentor a high-innovation team of junior engineers and shape the technical roadmap.

Pay and Benefits

Perks:Annual BonusHalf-day FridayPaid LeavePaid VolunteeringHealth InsurancePensionLife InsuranceEapWellness StipendGym Membership

Key Requirements

  • •Implement hybrid algorithms combining classical mathematics and machine learning for state estimation, anomaly detection, or information fusion.
  • •Deep familiarity with time/frequency domains, Fourier transforms, digital sampling, and filter design.
  • •Practical knowledge of EKF, UKF, Lie Group UKF, or physics-informed ML.
  • •Fluency across C++, MATLAB/Mathematica, and Python.
  • •Bachelors, Masters, or PhD in a relevant STEM discipline with recent experience in low-TRL ASP/PNT research.
Experience:AISignal processingSensor fusionPosition navigation timingDefenseResearch
Education:
Skills:Technical leadershipMentoringRoadmap shapingCollaborationProblem-solving
Tech Stack:Physics-Informed Machine LearningPIMLEKFUKFLie Group UKFC++MATLABMathematicaPythonFourier transformsDigital samplingFilter designTime/frequency domainsHybrid architectures

Eligibility

Security Clearance:SC

Company Brief

Thales
Designs and delivers advanced systems and services for aerospace, defence, security, and digital identity and cybersecurity markets, serving government and commercial customers worldwide.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Paris, France
Founded: 2000
WebsiteLinkedIn