12795 - Observations & Earth Observation Data Analyst

CMCC - Centro Euro-Mediterraneo sui Cambiamenti Climatici; Caserta; In loco; EUR 30.000 - 50.000; Tempo pieno

Descrizione del lavoro

A leading climate research center seeks an Earth Observation Data Analyst to enhance its operational capabilities in integrating observational data with climate information. Candidates should hold a relevant Master's degree and have strong Python and GIS skills, with responsibilities including data analysis and collaboration with interdisciplinary teams. This position offers a competitive salary and flexible working arrangements in Caserta, Italy.

Servizi

Welfare package

Flexible working time

Support during immigration process

Competenze

• M.Sc. (or equivalent) in Earth/Environmental Sciences, Physics, Engineering, Computer Science, or related fields.
• Strong experience with Python for EO/observational and climate data processing.
• Proficiency with GIS (QGIS/ArcGIS) and spatial analysis.
• Hands-on experience with UNIX/Linux, CDO/NCO, and automated batch processing.
• Experience with ERDDAP/GeoServer for data publication.
• Knowledge of machine-learning methods for environmental applications.
• Excellent teamwork and communication skills in English.

Mansioni

• Ingest, process, and analyse observational datasets and Earth Observation data.
• Design and maintain data pipelines using Python/R.
• Implement quality control and harmonize multi-source datasets.
• Perform spatial analysis using machine-learning tools.
• Publish datasets/services through ERDDAP and GeoServer.
• Collaborate with teams to co-design user-centred indicators and dashboards.
• Contribute to technical reports and presentations.
• Support field activities when required.

Descrizione del lavoro

Overview

CMCC Position cod. 12795
Observations & Earth Observation Data Analyst

Deadline: November 19, 2025

WHAT WE ARE LOOKING FOR

We are seeking an Observations & Earth Observation (EO) Data Analyst to join PRESTO research unit within the Regional Models and Geo-Hydrological Impacts (REMHI) division. The ideal candidate blends expertise in satellite/EO data, ground-based observations and sensor networks, climate data processing (NetCDF, raster), GIS, and Python/R on UNIX/Linux. The role will design reproducible workflows to ingest, quality-control and integrate observational datasets with climate/impact model outputs, enabling user-centred climate services and nowcasting/monitoring applications.

ABOUT US

CMCC Foundation is a cross-cutting scientific research center on climate change and its interactions with the environment, society, the world of business, and policymakers. CMCC aims to stimulate sustainable growth, protect the environment, and develop strategies for adaptation and mitigation of climate change. CMCC pursues fundamental and applied science with utmost scientific integrity, prioritizing data-driven science and providing data, information, and research results that support informed public debate and decision-making. We invest in training all talents and strive to create a workplace where everyone can excel. At CMCC you will find a strong, professional environment. Join an inclusive community that values diversity, where every voice is heard and respected. CMCC has experienced growth and is continuing to expand its global position in climate change research.

To learn more about this opportunity and submit your application, please refer to the following:

ROLE

This role strengthens unit PRESTO’s operational capability on observational data and their integration with EO/climate information across applications such as heavy precipitation and lightning monitoring, fire and drought indicators, health and urban services. The position supports the ingestion, curation and publication of observations, bridging in-situ sensors, EO products and numerical model data to feed decision-support tools (e.g., Dataclime) and operational services (e.g., dashboards, APIs, web services).

RESPONSIBILITIES

• Ingest, process and analyse observational datasets (in-situ weather stations, radars) and Earth Observation data (e.g., optical/SAR) alongside atmospheric numerical modelled datasets (e.g., NetCDF, GeoTIFF).
• Design and maintain data pipelines on UNIX/Linux using Python/R (xarray, pandas, NumPy) and climate utilities (CDO/NCO), ensuring adequate documentation.
• Implement quality control (QC), calibration/validation and metadata standards for observational data to harmonize multi-source datasets for monitoring/nowcasting.
• Perform spatial analysis using machine-learning tools to support applications based on weather models and data.
• Publish and catalogue datasets/services through ERDDAP and GeoServer; support interoperable access via API and standard protocols (OGC).
• Collaborate with interdisciplinary teams to co-design user-centred indicators and dashboards for REMHI; prepare technical material for stakeholder workshops and demos.
• Contribute to deliverables, technical reports and, where relevant, peer-reviewed publications; present results at meetings and conferences.
• Support field activities in coordination with technical staff (e.g., sensor deployment/maintenance planning, data retrieval logistics) when required.

REQUIREMENTS

• M.Sc. (or equivalent) in Earth/Environmental Sciences, Physics, Engineering, Computer Science, or related fields.
• Strong experience with Python for EO/observational and climate data processing (xarray, pandas, NumPy; Jupyter); familiarity with R is a plus.
• Proficiency with GIS (QGIS/ArcGIS) and spatial analysis; knowledge of formats/standards (NetCDF, GeoTIFF, HDF, CSV time series).
• Hands-on experience with UNIX/Linux, CDO/NCO, and automated batch processing for large datasets.
• Experience with ERDDAP/GeoServer (or similar) for data publication; basic web-mapping literacy and API usage.
• Knowledge of machine-learning methods for image/time-series classification and basic statistics for environmental applications.
• Excellent teamwork and communication skills in English; Italian fluency is a plus for field/stakeholder interactions.

ADDITIONAL SKILLS

• Familiarity with observational networks (meteorological stations, hydrological gauges, low-cost sensors) and data QC protocols.
• Experience with SAR processing and cloud-based EO platforms; containerization (Docker) is a plus.
• Database literacy (SQL/PostGIS) and API-based data access; experience with CI (GitHub) and simple ETL/ELT orchestration.
• Experience preparing technical documentation, deliverables, and visual communication of results.

DURATION, COMPENSATION & BENEFITS

• Please note that this opportunity will be issued both internally and externally.
• The Researcher will be based in Caserta (CMCC office), with flexible working arrangements according to internal policies.
• Contract and gross annual salary will be based on qualifications and working experience.
• Welfare package, for minimum 12 months contract.
• Flexible working time as per internal policies.
• Support during the immigration process, if needed.
• For outstanding profiles, we are also open to part-time arrangements and remote work.

PROTECTED CATEGORY

Belonging to legally protected categories (ex L. 68/99) will constitute a preferential condition. Some fiscal benefits could be applied for repatriated workers or foreign researchers/professors, having the requirements defined by Dlgs 147/2015 (for repatriates) or Dl 78/2010 (for foreigners).

CMCC is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status, and other legally protected characteristics. Please omit from your CV any data you or we might consider discriminatory.

This job announcement is an invitation to express interest in the above-mentioned CMCC Position. Applicants responding to this posting declare that they have read, understood and agreed to the Official Rule for the CMCC Personnel recruitment. We will keep your information on file for up to 1 year.