{"id":2031786,"url":"https://alion.io/job/nkt-master-thesis-physics-informed-prognostics-of-electrical-power-cable-systems","title":"Master Thesis: Physics-informed prognostics of electrical power cable systems","company":{"id":1789507,"name":"NKT","domain":"nkt.com","url":"https://alion.io/company/nkt-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-07T14:32:20Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-11-05T02:57:13Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"High voltage cable systems comprise several interacting components, including cables, joints, terminations, and electrical connectors. The service conditions vary with load, ambient and environmental conditions, installation environment, and operating history. Ageing and degradation processes may therefore develop over long timeframes and involve coupled electrical, thermal, mechanical and material effects which also depend on the local environment of the installed parts. The direct measurement of such processes during operation is often limited and available measurement and failure data is generally sparse. The application of different physics-based approaches allows for the generation of a more robust prognostics framework, where uncertainties are considered when approaching the overall component population.\nThesis Description\nThe thesis will develop a prognostics framework for a selected component of cable system. Physics-based models are combined with available failure statistics and expert knowledge to predict a components remaining useful life and estimate uncertainty of the given prediction.\nMain activities:\nStudy and identify relevant degradation mechanisms (e.g., Joule heating, changes in the material properties, thermal and electrical aging) and their physical description.\nEvaluate currently existing models, transfer the models to new use cases and add missing degradation models.\nEvaluate replacement of computationally expensive models (e.g., finite-element methods) with reduced-order models, Gaussian processes or neural-network based models to reduce computational costs.\nIntegrate available data from literature and measurements and validate models against existing data. Conclude where models are applicable and discuss limitations of both models and methodology.\nExpected outcomes:\nA modular python framework for physics-based prognostics for a selected part of a cable system\nComparison of different approaches to estimate the remaining useful life (e.g., finite-element method, neural-network, reduced-order models) and verification with real-life data\nRecommendation on model application and suggestion for model improvements and possible condition monitoring approaches\nQualifications and requirements\nMaster student in Engineering Physics, Material Science, Mathematics or related fields.\nSolid understanding of physics, e.g., heat transfer, electromagnetics and materials.\nInterest and experience in using python for data science and machine learning applications.\nHigh-level fluency in English, both spoken and written\nContact and application\nNKT is committed to fostering a diverse organization and a culture where people from different backgrounds can thrive and are inspired to perform at their best. We believe that a diverse organization enables sustainable performance, and that an inclusive and welcoming culture makes for a better place to work.\nThis thesis will be done at NKT HV Cables AB, Technology Consulting in Västerås, Sweden. The thesis correspond to 30 hp at full speed and is expected to be run from January 2027.\nPlease submit your application, including your CV and cover letter, by November 30, 2026.\nIf you have any questions regarding the position, you are very welcome to contact Recruiting Manager, Giampaolo Martufi,  or Senior Scientist, Christophe Polek, .\nPlease note that due to the GDPR regulations we cannot accept any applications via e-mail.\nWelcome with your application!\nAbout NKT\nJoin a diverse and international team of experts developing the power cable technology of the future, focusing on deeper seas, lower losses and higher performance. The technology department leads the company's R&D programme, including materials development, and operates some of the most advanced high-voltage testing centres in the industry. NKT also operates a technology consulting centre in Sweden, where technical experts and scientists support the industry worldwide with cross-disciplinary R&D projects and technical investigations.\nAt NKT, we are all Connectors. We connect to develop leading power cable technologies that enable the world’s transition to renewable energy - and we stay connected to grow as people and professionals. As a company, NKT connects a greener world with high-quality power cable technology and plays a key role as the world moves towards clean energy. NKT designs, manufactures and installs low-, medium- and high-voltage power cable solutions enabling reliable energy transmission. Since 1891, NKT has innovated the power cable technology, building the infrastructure from the first light bulbs to the megawatts created by renewable energy today.\nNKT is headquartered in Denmark, operates from more than 30 countries worldwide, and employs 6,500 people globally. NKT is listed on Nasdaq Copenhagen and realised a revenue of EUR 3.6 billion in 2025. 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