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MEEO S.r.l.

PhD AI/ML Researcher in Earth Observation, Geo-Foundation Models, and Multi-Agent AI MEEO S.r.l. in Italy

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Italy

University

MEEO S.r.l.

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Keywords

Computer Science
Machine Learning
Environmental Science
Agriculture
Information Technology
Remote Sensing
Artificial Intelligence
Earth Science
Earth Observation
High Performance Computing
Statistics
Geospatial Information
Multi-agent System
Large Language Models

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About this position

MEEO S.r.l. is recruiting a PhD AI/ML Researcher for the ITACA Project, funded by the Emilia-Romagna Region under the PR FESR 2021-2027 framework. The role is based in Ferrara, Italy and runs for 2 years full-time, with a gross annual salary of €30,000–€40,000 depending on experience.

The position focuses on Artificial Intelligence, Machine Learning, Earth Observation, Geospatial Data, Remote Sensing, Geo-Foundation Models, Large Language Models (LLMs), and multi-agent AI systems. The researcher will work on benchmarking open-source and proprietary models for EO, developing agentic workflows with tools such as LangGraph, smolagents, and ReAct, and prototyping services on HPC platforms including CINECA Leonardo AI Factory and EuroHPC.

Additional themes include computational sustainability, model fine-tuning, secure data governance, cloud and microservice architectures, and application to Agrifood 4.0 so that EO analytics can be accessed by non-technical users through natural language interfaces.

Eligibility is shaped by a mandatory regional grant requirement: applicants must satisfy at least one of the following—recent PhD from Emilia-Romagna, PhD candidate admitted to final defense in Emilia-Romagna, or recent research fellowship/contract/RTD role in Emilia-Romagna. Candidates should also have a PhD degree or proven specialized expertise in Computer Science, AI, Data Science, or a related STEM field, plus strong English communication skills. Preferred experience includes Sentinel/Copernicus data, GDAL, QGIS, STAC, SLURM, Docker, Singularity/Apptainer, and cloud/HPC environments.

To apply, complete the online form on the job page and upload your CV/resume together with the requested personal details.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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