Offer Description Grant/funding reference: UDC NAVANTIA JOINT RESEARCH CENTRE (CODE IN853C2025/03).

Job title: THE SHIPYARD OF THE FUTURE. Co‑funded by the European Union in the framework of the program Galicia FEDER 2021‑2027.

Research line: PROCESSES MINING FOR DECISION MAKING SUPPORTED BY ML/AI.

Grant period: 01 April 2026 – 30 September 2028.

Centre of Principal Researcher: POLYTECHNIC SCHOOL OF ENGINEERING AT FERROL / COMPUTER SCIENCE.

Location: CEMI UDC FACILITIES – NAVANTIA, Batallones Building (Ferrol).

Schedule: Monday to Friday 9:00‑14:00 and 16:00‑18:00.

Responsibilities

Develop, analyze, and implement AI models for prediction, simulation, diagnosis, and surrogate modelling in CEMI/Navantia industrial systems.

Analyse and process industrial data, operating records, simulators, and technical documentation.

Develop and evaluate knowledge‑based, ML/Deep Learning, and hybrid models for prediction, diagnosis, or reproduction of relevant behaviours.

Study surrogate models for efficient simulation with partial information or costly systems.

Perform model comparison, error analysis, and result validation in controlled environments.

Explore AI tools based on LLMs/agents for information integration and automation of workflows or analysis.

Participate in prototype implementation, document results, prepare technical reports,



project deliverables, and scientific publications where applicable.

Qualifications

Spanish nationality or equivalent for labour rights in public administration.

Bachelor’s or higher degree in Engineering, Computer Science, Artificial Intelligence, Data Science, Physics, Mathematics, or related field.

Experience in AI, ML/Deep Learning, predictive modelling, statistical data analysis.

Proficiency in Python and libraries such as PyTorch, TensorFlow, Keras, scikit‑learn, pandas, NumPy, matplotlib.

Knowledge in data preparation, visualisation, engineering, and traceability.

Experience with surrogate models, scientific ML, physics‑informed models, PINNs, or simulator approximation.

Knowledge of digital twins, predictive maintenance, fault diagnosis, process analysis, or process mining.

Familiarity with LLMs, agents, RAG, generative models, embeddings, vector databases, APIs, workflow automation.

Experience with industrial AI applications, robotics, real‑time systems, computer vision.

We are an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, veteran status, or any other protected characteristic.

📌 Research collaborator 2026/CP/184 (Madrid)
🏢 Euraxess
📍 Madrid