Students interested in advanced research in artificial intelligence, data science, and sustainable agriculture can apply for the EU4GreenFieldData PhD Scholarships in Europe. This doctoral program is funded by the European Union under the Marie SkΕodowska-Curie Actions (MSCA) within the Horizon Europe framework.
The program brings together universities and research institutions across Europe to train the next generation of researchers in digital technologies for sustainable agriculture and environmental data systems. (EURAXESS)
Successful applicants will work in an international research environment and complete a joint doctoral program leading to a double PhD degree from two European universities. (IFIP News)
π Scholarship Overview
- Program: EU4GreenFieldData Doctoral Network
- Funding Organization: European Union (Horizon Europe β MSCA)
- Study Level: PhD / Doctoral Research
- Number of Positions: 14 Fully Funded PhD Positions
- Program Duration: 3 years
- Location: Multiple universities across Europe
- Eligibility: International applicants from all countries
The program focuses on developing data-driven solutions for sustainable agriculture using AI, IoT, robotics, and advanced data analytics. (EURAXESS)
π Scholarship Benefits
Selected PhD researchers receive full financial support including:
- Full-time employment contract for 3 years
- Competitive monthly salary
- Mobility allowance for international relocation
- Family allowance (if applicable)
- Social security, pension, and health insurance
- Training programs and international research mobility
Participants will also gain experience through industry collaborations and international research placements. (Oppotify)
π Research Areas
The doctoral program focuses on interdisciplinary research combining digital technologies and agriculture. Example research topics include:
- Artificial Intelligence for precision farming
- Internet of Robotic Things (IoRT)
- Smart irrigation and crop monitoring
- Agricultural robotics and automation
- Soil health and crop disease detection
- Digital twins and data lakes for agriculture
- Sustainable agri-food systems
These research areas aim to improve agricultural sustainability and address global climate challenges. (Oppotify)
π Participating Universities and Research Institutions
The project includes leading European universities and research centers such as:
- INRAE (France)
- University of Padova (Italy)
- University of Milan (Italy)
- Aarhus University (Denmark)
- University College Dublin (Ireland)
- UniversitΓ© Libre de Bruxelles (Belgium)
The consortium includes multiple academic partners and industry collaborators across Europe. (EURAXESS)
π Eligibility Criteria
Applicants generally must:
- Hold a Masterβs degree in a relevant field such as Computer Science, Data Science, Engineering, or Agriculture
- Demonstrate strong academic performance and research potential
- Meet MSCA mobility requirements (not living in the host country for more than 12 months in the last 3 years)
- Have good English language proficiency
- Be interested in interdisciplinary research and international collaboration. (eu4greenfielddata.eu)
π Required Documents
Applicants may need to submit:
- Online application form
- Academic transcripts and certificates
- Curriculum Vitae (CV)
- Motivation letter or research statement
- Letters of recommendation
- Passport copy
Each PhD position may have slightly different document requirements.
π Important Dates
- Applications Open: January 2026
- Application Deadline: 15 April 2026
- Selection Period: May 2026
- Program Start: September β October 2026
The PhD positions run from September 2026 to August 2029. (IFIP News)
π Why Apply for EU4GreenFieldData?
This program provides a unique opportunity to:
- Conduct cutting-edge research in AI and sustainable agriculture
- Work in an international European research network
- Earn a double PhD degree
- Gain experience with academic and industry partners
- Contribute to solutions addressing climate change and food sustainability
It is an excellent opportunity for students who want to combine data science, AI, robotics, and environmental research.
