Thales

3 weeks ago

Hybrid Algorithm Researcher

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 minute agoStatus: Live

Job Summary

Develop hybrid algorithmic software for Advanced Signal Processing (ASP) and Position, Navigation & Timing (PNT), combining classical signal processing with AI methods. Design and evaluate algorithms for sensor modelling, processing, data fusion, tracking, state estimation, anomaly detection, and robustness in contested electromagnetic environments. Translate recent research into practical solutions using time/frequency-domain techniques and tools like C++, MATLAB, Mathematica, and Python, while mentoring junior engineers and supporting R&D delivery.

Location: Reading

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Lead development of hybrid algorithmic software for ASP/PNT in C++, MATLAB, Mathematica, and Python.
•Design, adapt, and evaluate hybrid algorithms for sensor modelling, data fusion, tracking, state estimation, and anomaly detection.
•Apply time- and frequency-domain methods such as Fourier analysis, digital sampling, and filter design.
•Review and translate recent research into practical ASP/PNT solutions, improving robustness for real-world data and systems.
•Mentor junior engineers and support bids, proposals, and R&D project delivery.

Pay and Benefits

Perks:Annual BonusHealth InsurancePension SchemeGym MembershipHalf Day

Key Requirements

•Experience implementing hybrid algorithms combining classical and ML-based approaches.
•Applied experience across sensor modelling/processing and tasks such as data fusion, target tracking, state estimation, anomaly detection, 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.
•Practical coding experience in C++, MATLAB, Mathematica, and/or Python.

Experience:Advanced signal processingPNTSensor fusionLow-TRL R&DContested electromagnetic environmentsDefenceArtificial intelligence

Education:Bachelor's

Skills:Problem-solvingCommunicationCross-disciplinary collaborationTechnical curiosityResearch-to-delivery focus

Tech Stack:C++MATLABMathematicaPythonFourier analysisFourier transformsDigital samplingFilter designMachine learningEKFUKFLie Group UKFPhysics-informed machine learning

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

Website LinkedIn

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Thales

3 weeks ago

Hybrid Algorithm Researcher

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 minute agoStatus: Live

Job Summary

Location: Reading

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Lead development of hybrid algorithmic software for ASP/PNT in C++, MATLAB, Mathematica, and Python.
•Design, adapt, and evaluate hybrid algorithms for sensor modelling, data fusion, tracking, state estimation, and anomaly detection.
•Apply time- and frequency-domain methods such as Fourier analysis, digital sampling, and filter design.
•Review and translate recent research into practical ASP/PNT solutions, improving robustness for real-world data and systems.
•Mentor junior engineers and support bids, proposals, and R&D project delivery.

Pay and Benefits

Perks:Annual BonusHealth InsurancePension SchemeGym MembershipHalf Day

Key Requirements

•Experience implementing hybrid algorithms combining classical and ML-based approaches.
•Applied experience across sensor modelling/processing and tasks such as data fusion, target tracking, state estimation, anomaly detection, 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.
•Practical coding experience in C++, MATLAB, Mathematica, and/or Python.

Experience:Advanced signal processingPNTSensor fusionLow-TRL R&DContested electromagnetic environmentsDefenceArtificial intelligence

Education:Bachelor's

Skills:Problem-solvingCommunicationCross-disciplinary collaborationTechnical curiosityResearch-to-delivery focus

Tech Stack:C++MATLABMathematicaPythonFourier analysisFourier transformsDigital samplingFilter designMachine learningEKFUKFLie Group UKFPhysics-informed machine learning

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

Website LinkedIn