{"id":1952805,"url":"https://alion.io/job/damen-internship-anomaly-detection-for-smart-maintenance","title":"Internship: Anomaly Detection for Smart Maintenance","company":{"id":703183,"name":"Damen","domain":"damen.com","url":"https://alion.io/company/damen-3","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":24,"ghost_share":0,"stale_share":0.792,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gorinchem, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Computer Vision","optional":false},{"name":"Explainable AI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-06T10:47:18Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-23T04:58:41Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"We offer you an Ocean of Possibilities. Join our family.\nAbout us\nDamen aims to become the world's most sustainable and digitally connected shipyard. The Research, Development & Innovation (RD&I) department develops and implements the technology and know-how to achieve these ambitions. We actively assist the business in creating an innovative product portfolio and provide forward-thinking guidance to improve the quality and performance of Damen's products and services. You will be joining the Data Science team within Damen RD&I located in Gorinchem. Our department focuses on applying cutting-edge data and AI solutions to Damen's shipbuilding and maritime operations. The team includes domain experts in physics-informed machine learning, simulation acceleration, predictive maintenance, computer vision, and operational analytics. This internship is part of Smart Maintenance, a strategic project aimed at using AI to detect abnormal equipment behavior on board vessels before it leads to failure or unplanned downtime.\nThe role\nAs an intern, you will work on our Smart Maintenance project where we have developed an anomaly detection algorithm, which aims to help engineers spot early signs of equipment problems, such as engines, pumps, propulsion and cooling systems, before they escalate into failures. Vessels generate huge amounts of sensor data during operation, and our goal is to turn that data into reliable, trustworthy signals that support maintenance decisions. You will contribute to an existing pipeline that learns what \"healthy\" equipment behavior looks like and flags deviations from it. Your primary focus will be on a dedicated research topic, to be selected together with the team, that strengthens a specific part of this pipeline - from data selection to detection reliability, health trending, explainability, or deployment. There is room to shape the exact topic based on your interests and background, either before or shortly after you start. This can be a thesis/graduate internship and could start as soon as possible, depending on your availability.\nPossible research topics that we offer, on which the final scope is to be defined together:\nModel transferability across vessels: exploring how an anomaly detection model trained on one vessel can be adapted to other vessels, machinery types, or operating environments - including retraining, recalibration, and drift detection strategies. \nReliable anomaly detection: improving detection models to minimize false alarms, adapt to different operating conditions, handle transient events, and quantify prediction confidence. \nHealth and degradation trending: moving beyond fault detection to identify gradual performance degradation, developing health indicators that give early warning of wear or efficiency loss. \nExplainable AI and fault diagnosis: making anomaly models explainable, identifying which sensors or components drive an alert, and supporting root-cause analysis for engineers. \nDefining \"healthy\" operation: identifying, selecting, and validating representative data from vessels operating under normal conditions, accounting for varying operating modes and environmental influences. \nKey accountabilities\nAs an intern, you will:\nSupport the development and improvement of ML-based anomaly detection models for vessel equipment. \nPreprocess and analyze sensor/time-series data from onboard systems. \nRun experiments in Python, evaluating model performance against real and/or simulated data. \nWork closely with our Data Scientists, maintenance engineers, and vessel operations stakeholders. \nDocument results and present findings to the team regularly. \nSkills & Experience \nWe are looking for a student who:\nIs currently pursuing a Bachelor or Master in Data Science, Applied Mathematics, Computer Science, Mechanical/Electrical Engineering, or a related technical field. \nIdeally combines data science with a mechanical/electrical engineering background, with the ability to model equipment behavior and understand which sensors are informative for which failure modes. \nHas experience with Statistics, Python, and ideally with machine learning (LSTMs) or time-series analysis. \nHas an interest in predictive maintenance, sensor data or industrial/marine systems. \nIs comfortable working with real-world, sometimes messy, operational data. \nCommunicates fluently in English. \nWhat we offer\nMentoring at academic level throughout the internship. \nInternship/graduation fee and travel allowance for the duration of the assignment. \nOpportunity to contribute to a high-impact predictive maintenance project used in real vessel operations. \nResearch publication is likely possible with a possible extension of the internship period. \nExposure to a multidisciplinary team combining data science and maritime engineering expertise. \nOther\nAre you ready to sail into your new adventure at Damen? Don’t hesitate, send us your motivation letter and resume here.\nDue to housing issues we cannot accept international students that do not have accommodation in the Netherlands yet.\nRecruiter:\nLiselotte van VeenendaalEmail:\n apply through the Apply Button. Due to GDPR reasons we cannot accept applications by email.","description_format":"text","description_chars":5249,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-06T10:47:18Z"}],"visa":[],"liveness":{"score":55,"band":"ok","label":"Likely open","p_open":1,"p_active":0.614,"p_room":0.9,"age_days":16,"expected_fill_days":47,"reasons":["conf:0","stale_co","velocity","win:mid","comp:junior,brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/damen-internship-anomaly-detection-for-smart-maintenance","json_url":"https://alion.io/job/damen-internship-anomaly-detection-for-smart-maintenance.json","meta":{"generated_at":"2026-10-23T16:12:41Z","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":24569,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"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":703183},"rest":"https://alion.io/mcp/rest/get_company?id=703183"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdamen-internship-anomaly-detection-for-smart-maintenance"},{"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%2Fdamen-internship-anomaly-detection-for-smart-maintenance"},{"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%2Fdamen-internship-anomaly-detection-for-smart-maintenance"},{"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/damen-internship-anomaly-detection-for-smart-maintenance\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdamen-internship-anomaly-detection-for-smart-maintenance"}]}