*Are you an aspiring researcher ready to drive the digital and green transition in agriculture?
The GreenFieldData project offers an outstanding opportunity to pursue a PhD within a high-calibre international and interdisciplinary network, funded under the prestigious Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks (Grant agreement ID: 101226371).

*Why join us ?
Pillar of Excellence: A High-Level MSCA Joint Doctorate
The “IoRT Data management and analysis for Sustainable Agriculture” (GreenFieldData) project is an initiative of Pillar 1 (Excellence) of Horizon Europe. This ambitious network unites 12 leading academic beneficiaries across 7 EU countries, supported by 24 associated non-academic and academic partners. By joining this network, you will become part of a highly integrated, inter-sectoral, and international (triple ‘i’) training environment. Our common goal is to train a new generation of researchers who can provide robust and human-centric solutions to the challenges posed by climate change and socio-economic constraints.

*Exceptional Financial Support for Your PhD
The MSCA Joint Doctorate provides a highly competitive and financially attractive employment package for the entire 36-month duration of the PhD contract:
-Generous Living Allowance: A monthly gross salary contribution
-Mobility Allowance: An additional monthly contribution to cover private mobility-related costs (e.g., relocation, travel)
-Family Allowance: A monthly allowance is also provided, if applicable (researchers with family obligations)

*Double Degree, High-Level Training, and Employability
All 14 Doctoral Candidates will be enrolled in Double Degree Doctorate programmes, guaranteeing joint supervision from at least two prominent international universities, with secondments in industrial partners. The project offers a high-level doctoral training programme, providing a unique toolbox of cutting-edge knowledge and transferable skills essential for maximizing your future employability within research, digital technologies, and agricultural sectors.

14 Cutting-Edge Research Topics on IoRT and Sustainable Agriculture
Your research will focus on the convergence of advanced data science and IoRT (Internet of Robotic Things) to foster Sustainable Agriculture and define efficient low input practices. We are seeking bright minds to tackle advanced topics such as Advanced Database Management Systems, AI, Edge-Fog-Cloud Architectures, and Data Analysis applied to real-world agricultural challenges.

We are recruiting for the following 14 PhD Positions (3-year contract starting September/October 2026):

Position A
Optimized IoRT network for enhanced data quality of IoRT cereals production practices.
Aarhus University (DK) & Clermont Auvergne University (FR)

Position B
Data collection and analysis empowered with AI for robotized Olive Oil Precision Farming.
University College Dublin (IE) & Instituto Superior Técnico (PT)

Position C
Powering data-driven sustainability assessment tasks in agri-food systems with IoT-data Datlakes and Large Language Models.
Aarhus University (DK) & Université Libre Bruxelles (BE)

Position D
Human-centric Digital twins for monitoring robotized biostimulants application practices.
University Milan (IT) & Université Libre Bruxelles (BE)

Position E
Optimizing Images Quality and Deep Learning Methods for Vineyard Disease Detection.
University Padova (IT) & University Poznan (PL)

Position F
Optimized Olive crop irrigation based on high quality soil data using IoRT networks.
Instituto Superior Técnico (PT) & University Toulouse (FR)

Position G
Characterization of abiotic stress of trees using AI methods on acoustic signals.
University College Dublin (IE) & INRAE (FR)

Position H
Monitoring of grazing animals using sensors and data science.
University Liege (BE) & University College Dublin (IE)

Position I
Assessing soil and crop health across sugar-beet producing farms.
University Poznan (PL) & University Liege (BE)

Position L
Natural language based interaction for robotized biostimulant practices.
CNRS (FR) & University Milan (IT)

Position M
Assessing drought effects on grassland using IoT-enabled visual sensors.
University Poznan (PL) & INRAE (FR)

Position N
Optimization-simulation coupling for the GHG emission based supervision and planification of a fleet of autonomous agricultural robots.
Aarhus University (DK) & INRAE (FR)

Position O
Adaptive navigation for agricultural robots using database-driven insights.
Université Libre Bruxelles (BE) & INRAE (FR)

Position P
Agricultural AI data integration and management based on LLM.
University Toulouse (FR) & University Padova (IT)

**Inclusivity
We welcome applications from candidates of all backgrounds, genders, and nationalities.
We particularly encourage applications from women, non-binary individuals, and candidates with disabilities, as well as from individuals from historically underrepresented groups. Selection is based solely on merit and potential, in accordance with equal opportunity principles. If you need reasonable accommodations during the process, please contact the supervisors

***Timeline
Application Open : January 5th 2026
Application Deadline : April 15th 2026
Selection Process : May 2026
PhD Start Date : September-October 2026