{"id":582182,"url":"https://alion.io/job/thales-group-hybrid-algorithm-researcher","title":"Hybrid Algorithm Researcher","company":{"id":143,"name":"Thales Group","domain":"thalesgroup.com","url":"https://alion.io/company/thales","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":97,"open_postings":36,"ghost_share":0.028,"stale_share":0.056,"repost_share":0.028,"time_to_fill_p50_days":47,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Reading, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"C++","optional":false},{"name":"Image Segmentation","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-08-28T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-17T14:20:31Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"Location: Reading, United KingdomThales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services.\nWe are seeking a highly skilled Hybrid Algorithm Researcher to develop advanced algorithmic software for future products in Advanced Signal Processing (ASP) and Position, Navigation & Timing (PNT). This is a unique opportunity to work at the intersection of classical signal processing and AI-based methods, applying both to complex sensing, modelling, tracking, fusion, and estimation challenges in contested electromagnetic environments.\nThis role is ideal for someone who thrives on solving difficult technical problems and enjoys turning novel research into practical, high-impact solutions. You will contribute to low-TRL research and development activities, helping to shape technologies that remain robust, adaptable, and effective in real-world and adversarial conditions.\nWhat you will do\nLead the development of hybrid algorithmic software in C++, MATLAB, Mathematica, and Python.\n\nDesign, adapt, and evaluate hybrid algorithms for sensor modelling, processing, data fusion, tracking, state estimation, and anomaly detection.\n\nApply time- and frequency-domain methods, including Fourier analysis, digital sampling, and filter design.\n\nReview recent research and translate novel techniques into practical ASP/PNT solutions.\n\nImprove the robustness of traditional algorithms for challenging, real-world data and systems.\n\nUse machine learning where it adds value, particularly for non-linear dynamics and complex system behaviour.\n\nSupport proposals, bids, and project delivery for research and development activities.\n\nMentor junior engineers and help strengthen technical capability across the team.\n\nWhat we are looking for\nYou 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.\nEssential experience\nExperience implementing hybrid algorithms that combine classical and ML-based approaches.\n\nApplied 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.\n\nStrong understanding of time and frequency domain methods, including Fourier transforms, digital sampling, and filter design.\n\nAbility to evaluate, adapt, and implement techniques from recent research papers.\n\nExperience making algorithms robust to real-world data and complex physical system behaviour.\n\nPractical coding experience in C++, MATLAB, Mathematica, and/or Python.\n\nProven ability to work across research, development, technical leadership, and delivery.\n\nDesirable experience\nKnowledge of emerging sensing and PNT technologies, electronic warfare, radar, sonar, or related domains.\n\nExperience with EKF, UKF, Lie Group UKF, or physics-informed machine learning.\n\nExperience supporting bids, funding applications, or collaborative consortia.\n\nExposure to contested electromagnetic environments and resilient sensing challenges.\n\nExperience mentoring engineers or acting in a technical leadership capacity.\n\nAbout you\nYou are a technically curious problem-solver who enjoys working at the boundary between research and practical engineering. You are able to move confidently between mathematical reasoning, software development, and applied experimentation, and you know when to use classical methods, machine learning, or a combination of both.\n\nYou communicate complex ideas clearly, work well across disciplines, and are motivated by difficult problems that have real operational value. You take pride in producing high-quality technical output and contributing to an innovative, collaborative environment.\n\nA Bachelors degree with honours, Masters degree, or PhD in a relevant discipline is expected, along with few years of recent experience in related research and development.\n\nWhy join us\nThis is an opportunity to work on technologies that support the next generation of resilient sensing and navigation capability. You will help develop solutions for challenging operational environments, contribute to future product concepts, and play a meaningful role in building technical depth across the team.\n\nThe work is ambitious, collaborative, and highly impactful - ideal for someone looking to apply advanced algorithms to genuinely complex, real-world challenges.\n\nBenefits\nPerformance-related bonus\n\nHalf day every Friday, usually finishing around 13:00\n\n28 days annual leave (plus bank holidays) with opportunity to buy up to 40 hours/year (pro rata)\n\n24 hours volunteering paid for\n\nPrivate healthcare\n\nPension scheme\n\nLife cover\n\n24/7 Employee Assistance Program and access to mental wellbeing app\n\nEmployee discount shopping schemes on major brands and retailers\n\nGym membership discounts\n\nSecurity Clearance Requirement\nDue to the nature of the work that we do at Thales, many of our roles are subject to security restrictions. This role requires Security Clearance (SC). It would be advantageous if currently held, however, if not currently held, it is a requirement that the successful applicant undergo, achieve, and maintain SC Clearance prior to commencing employment.\nTo be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances, a minimum of 3 years’ residence in the UK over the last 5 years may be accepted, with additional overseas checks.\nPlease visit the UKSV website for further guidance:\nhttps://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels/national-security-vetting-clearance-levels.\nAt Thales, we ensure equal opportunities, pay and working conditions for all. The benefits we offer include private medical insurance, buying or selling annual leave, cycle to work schemes, employee discounts, paid volunteering day, stocks and shares, annual bonus and much more depending on the role. Read more about our benefits here.\nWe are committed to creating a workplace where everyone feels valued for who they are and the unique strengths they bring. Discover more about our programmes, employee networks, wellbeing policies, and inclusive features here.\nIf this role isn’t quite right for you, we encourage you to join our talent community where your details will be shared with our recruitment teams for other potential opportunities. Join the Talent Community here.\nJoin Thales in the UK - Innovate with us and shape the future!","description_format":"text","description_chars":7030,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual leave","Gym membership","Health insurance"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Satellite Communications","Satellite Manufacturing","Electronic Warfare","Information Security"],"lifecycle":[{"event":"open","at":"2026-10-14T02:00:51Z"}],"visa":[],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.715,"p_room":0.44,"age_days":50,"expected_fill_days":47,"reasons":["conf:32","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/thales-group-hybrid-algorithm-researcher","json_url":"https://alion.io/job/thales-group-hybrid-algorithm-researcher.json","meta":{"generated_at":"2026-10-18T00:51:45Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1494,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":143},"rest":"https://alion.io/mcp/rest/get_company?id=143"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthales-group-hybrid-algorithm-researcher"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fthales-group-hybrid-algorithm-researcher"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fthales-group-hybrid-algorithm-researcher"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/thales-group-hybrid-algorithm-researcher\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthales-group-hybrid-algorithm-researcher"}]}