R&D Engineer – Algorithm

1 settimana fa

Rome, Italia Camlin Group A tempo pieno

Join to apply for the R&D Engineer – Algorithm & Data role at Camlin Group About Camlin Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors. We believe in high quality engineering and design, allowing us to develop market‑leading products and services. In short, we love creating value for our customers by solving difficult problems. As of now, Camlin operates in over 20 countries worldwide. The Role We are looking for an R&D Engineer to join our R&D and discovery team. You will design the next generation of algorithms that assess power assets' health, predict failures, and recommend prescriptive actions for utilities. This role sits at the intersection of engineering, data science, and applied research. You will work closely with domain experts to translate knowledge of electric grid asset operations and diagnostics into algorithms that produce health indexes, risk assessments, and diagnostics. If you enjoy diving into how electric grid assets work and transforming that understanding into actionable insights, this role is for you. What You’ll DoDevelop and validate algorithms for the automated assessment of asset health, for failure mode identification and for condition‑based maintenance. Translate expert domain knowledge into structured logic and models. Build health indexes, failure mode models, and prescriptive maintenance actions. Analyse time‑series and condition‑monitoring data (DGA, thermal, load, etc.). Evaluate algorithm performance for continuous improvement. Keep up with industry standards advancements in analytics for asset condition monitoring.What You’ll NeedBachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Physics, Applied Physics, Data Science or related field. Strong programming skills in Python (pandas, numpy, scikit‑learn). Hands‑on expertise in DSP, time series analysis and modelling. Experience in data modelling, feature engineering, and performance evaluation techniques. A blend of data science and engineering skills. Ability to work through R&D ambiguity and iterate toward incremental product value. Curious mindset, willingness to deeply understand how assets work.Nice to HaveHands‑on expertise in modelling and simulation, including physical models and digital twins for electric grid assets. Hands‑on experience in designing, deploying and maintaining rule‑based expert systems. Background in condition monitoring and predictive maintenance or reliability engineering.BenefitsDaily food vouchers for days worked in person in the premises. Training Support: Financial assistance for your training and development, based on company discretion, and an internal training platform. Discounted Gym Membership. Wellness Programs. Internal Reward & Recognition Tool Kudos.Our ValuesWe work together. We believe in people. We won’t accept the ‘way it has always been done.’ We listen to learn. We’re trying to do the right thing.Equal Employment Opportunity Statement Individuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, gender identity or sexual orientation. Seniority Level Entry level Employment Type Full‑time Job Function Engineering and Information Technology #J-18808-Ljbffr

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