{"id":1253271,"url":"https://alion.io/job/astar-senior-research-engineer-i","title":"Senior Research Engineer I","company":{"id":50235,"name":"Agency for Science, Technology and Research","domain":"a-star.edu.sg","url":"https://alion.io/company/a-star-edu","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"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":"Anomaly Detection","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-25T18:38:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-02T22:58:07Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Job Description\nJob Title: Research Engineer - Data-Driven Energy Efficiency Analytics\nJob Summary\nWe are seeking a Research Engineer to support the development of data-driven energy analytics solutions for industrial manufacturing systems. The candidate will be responsible for developing energy disaggregation algorithms, energy monitoring and analytics,functions to improve visibility, benchmarking, and optimization of energy use across manufacturing equipment and processes.\nThe role will involve working with energy meter data, machine/process condition data, IoT systems, and AI/ML models to quantify energy consumption, identify inefficiencies, detect anomalies, and support decision-making for energy efficiency improvement and sustainable manufacturing.\nKey Responsibilities\nDevelop data-driven energy disaggregation models to estimate machine-, process-, and batch-level energy consumption from aggregated or limited metering data.\nDesign and implement energy monitoring, analytics and benchmarking algorithms for energy performance tracking, anomaly detection, and causal analytics related to energy-saving of industrial equipment and manufacturing processes.\nConduct experiments, model validation, and performance evaluation using industrial datasets.\nWork closely with project partners, engineers, and researchers to translate research outcomes into deployable industrial solutions.\nRequirements\nBachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Data Science, Industrial Engineering, or a related field.\nStrong programming skills in Python, with experience in data analytics, machine learning, and time-series processing.\nKnowledge of energy systems, power consumption analysis, industrial equipment, or manufacturing processes.\nExperience with machine learning techniques for regression, classification, anomaly detection, forecasting, or signal disaggregation.\nAbility to process and analyze large-scale time-series datasets.\nGood problem-solving skills and ability to work independently in applied research and development projects.\nGood written and verbal communication skills.\nPreferred Qualifications\nExperience in non-intrusive load monitoring, energy disaggregation, virtual sensing, or industrial energy analytics.\nExperience with deep learning frameworks such as PyTorch or TensorFlow.\nExperience with causal analytics.\nKnowledge of manufacturing systems, additive manufacturing, CNC, heat treatment, pumps, compressors, motors, or other industrial equipment.\nPrior experience in applied R&D projects with industry partners is an advantage.","description_format":"text","description_chars":2613,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T18:38:00Z"}],"liveness":{"score":88,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.881,"p_room":1,"age_days":6,"expected_fill_days":30,"reasons":["conf:11","velocity","win:early","comp:brand"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/astar-senior-research-engineer-i","json_url":"https://alion.io/job/astar-senior-research-engineer-i.json","meta":{"generated_at":"2026-10-03T00:52:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":615,"day_limit":5000,"remaining_today":4385,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}