Data science/machine learning junior specialist - CETENA

Job description

The role involves a Project Engineer engaged in national and international R&D projects and consultancy activities, focused on monitoring and measurement systems, data acquisition and advanced data analysis. Particular emphasis is placed on data-driven approaches, machine learning and artificial intelligence for the analysis of complex maritime systems and experimental data.

Job Responsibilities

The selected candidate will join the Maritime Engineering & Research Area, contributing to R&D and innovation projects focused on numerical characterization of ship behaviour and structural/performance monitoring, with a strong experimental and data-driven approach.

He/she will:

• Analyze experimental data using signal processing, statistical methods and machine learning techniques.

• Develop algorithms for signal analysis, anomaly detection and predictive analytics, including machine learning and AI-based approaches.

• Develop and apply numerical models of physical phenomena, including surrogate models (e.g. reduced-order models, data-driven models, ML-based approximations).

• Contribute to data processing pipelines and scalable workflows.

• Participate in R&D projects, occasionally including onboard activities and sea trials (installation, testing, measurements, validation campaigns, troubleshooting and reporting).

• Support the industrialization and operationalization of research results, including deployment of analytics solutions.

• Support proposal writing and development of new R&D opportunities.

• Maintain relationships with project partners and stakeholders.

Requirements

Education

• Master’s Degree in Engineering, Physics, applied Mathematics or equivalent.
• PhD and/or specialization in signal processing, data science, or AI is a plus.

Technical Skills

• Strong knowledge of (in order of priority):
  • Machine Learning and Data Analytics techniques
  • Modeling of physical systems and surrogate modeling approaches
  • Time-series analysis and large dataset handling
  • Signal processing (sampling, filtering, spectral analysis, advanced signature analysis)
  • Measurement systems, sensors and data acquisition architectures
  • Electronics, communication protocols and network systems
• Proficiency in (one or more): Python, Matlab / Simulink, C#, NI LabVIEW
• Knowledge of the following is considered a plus: Deep Learning (PyTorch, TensorFlow), Anomaly detection methods, AI applied to signal processing

Languages

• Fluency in English and Italian.

Soft Skills

• Strong analytical and problem-solving mindset
• Good communication and reporting skills
• Strong writing skills, with the ability to produce clear, structured and high-quality technical documentation
• Teamwork and proactive attitude
• Interest in innovation and AI technologies
• Availability to travel and onboard activities

Pacchetto di Compensation & Benefit

• Per la posizione in oggetto la retribuzione annua lorda sarà compresa tra un valore pari a € 31.400 e € 41.000.
• Qualifica Impiegato
• Premi come da contrattazione integrativa di 2° livello
• Assistenza sanitaria integrativa
• Welfare (benefit e servizi per favorire il benessere e l’equilibrio tra vita lavorativa e privata)
• Buoni pasto

Nota di trasparenza

L’azienda si riserva, al termine del processo di selezione, di formulare un’offerta con livello di inquadramento e/o retribuzioni differenti rispetto a quanto indicato nel presente annuncio, in coerenza con l’esperienza professionale, le competenze tecniche e trasversali possedute dalla risorsa.

Eventuali scostamenti potranno essere motivati da elementi oggettivi e documentabili, emersi nel corso del processo di selezione.

Coerenza normativa

La decisione rispetta gli obblighi di trasparenza retributiva previsti dalla Direttiva UE 2023/970 e dalla normativa nazionale di recepimento.