Job Description: Leonardo is a global industrial group, among the main global players in Aerospace, Defence and Security that realises multi-domain technological capabilities in Helicopters, Aircraft, Aerostructures, Electronics, Cyber Security and Space. With over 60,000 employees worldwide, the company has a solid industrial presence in Italy, the UK, Poland and the US. It also operates in 150 countries through subsidiaries, joint ventures and investments. A key player in major international strategic programmes, it is a technological and industrial partner of governments, defence administrations, institutions and companies. Inside Leonardo Space Division we are looking for a Physical/Numerical Modelling (Meteo/Climate Data Handling) based in Roma plant. Job Responsibilities: Handling, processing, and analyzing large meteorological and climatological datasets Performing statistical analyses and validation of climate model outputs against observational data Conducting simulations using numerical weather prediction (NWP) and climate modelling tools Ensuring data quality control, management, and integration from various meteorological sources Collaborating with multidisciplinary teams to support climate risk assessments and environmental impact studies Preparing technical documentation, scientific reports,



and presentations of modelling results Providing technical expertise and training to team members on climate data analysis methodologies and numerical modelling techniques. Education: Master's Degree or PhD in Meteorology, Atmospheric Sciences, Physics, Environmental Science, or related fields Seniority: Junior/Expert: 0-5 years. Key Competencies: Strong expertise in numerical modelling software (e.g., WRF, COSMO, ECMWF models) Advanced skills in handling large-scale meteorological datasets (NetCDF, GRIB formats) Proficiency in statistical analysis tools and programming languages (Python, R, MATLAB) Experience with High Performance Computing (HPC) environments for running numerical simulations Knowledge of data visualization tools for climate data interpretation (e.g., Panoply, NCL, CDO) Experience in integrating EO forecast/multi-temporal data (meteo-climate data, LST) in simulation environment Strong analytical skills and attention to detail in data quality assessment and validation procedures Excellent communication skills for collaboration with interdisciplinary research teams Ability to independently manage projects and deliver results within tight deadlines Soft skills: Team working Time management and organization Adaptability Goal and Customer orientation Problem solving Proactivity Language skill: English (high level) Other Availability to national and international mobility Seniority:
Junior Primary Location:
IT - Roma - Via Tiburtina, 965 Contract Type:
Fixed term Hybrid Working:
Hybrid

📌 Physical/numerical Modelling (Meteo/climate Data Handling) (Tiburtino)
🏢 Leonardo
📍 Tiburtino