Overview
A fully funded PhD position is available at the Centre for Cleantech and Biomass Resource Efficiency (CCBRE) at Agricultural University Plovdiv, Bulgaria. This opportunity focuses on an interdisciplinary research project aimed at developing AI-based methods for detecting microplastics in recycled organic fertilizers using hyperspectral imaging (HSI). This research addresses significant environmental concerns regarding soil contamination, contributing to sustainable agricultural practices.
Background & Relevance
The increasing presence of microplastics in agricultural soils poses a serious threat to environmental health and food safety. The integration of AI technologies with hyperspectral imaging offers a promising approach to monitor and mitigate this issue effectively. By developing a fast and scalable detection technology, this project seeks to enhance the safety of organic fertilizers, thereby promoting sustainable agricultural practices and protecting ecosystems.
Key Details
- Application Deadline: September 30, 2025
- Interview Period: October 2025
- Final Selection: November 2025
- Start Date: January 2026 (or earlier by agreement)
- Location: Plovdiv, Bulgaria
- Salary: €1,250/month (€15,000/year)
Eligibility & Participation
This PhD position is ideal for candidates with a strong interest or experience in areas such as image processing, machine learning, and environmental applications. Applicants should possess skills in coding platforms like Python or Matlab, as well as experience in dataset curation and AI training pipelines. A background in scientific writing and reporting will also be beneficial.
Submission or Application Guidelines
Interested candidates should prepare the following documents for their application:
– A motivation letter (1–2 pages)
– Curriculum Vitae (CV)
– Academic transcripts (Bachelor’s and Master’s)
– Contact details of two academic referees
Applications should be sent to Dr. Hadi Mahdipour at hadi.mahdipour@au-plovdiv.bg.
Additional Context / Real-World Relevance
The research conducted in this PhD program will not only contribute to the academic community but also have real-world implications for sustainable agriculture. As the agricultural sector increasingly faces challenges related to environmental sustainability, innovative solutions like the one proposed in this project are crucial. This work aligns with global efforts to reduce plastic pollution and enhance food safety, making it highly relevant in today’s context.
Conclusion
This is a remarkable opportunity for aspiring researchers to engage in meaningful work that addresses critical environmental issues. Interested candidates are encouraged to apply and share this opportunity with their networks to foster collaboration in the field of sustainable agriculture and AI-driven solutions.
Category: PhD & Postdoc Positions
Tags: phd, ai, microplastics, hyperspectral imaging, deep learning, sustainable agriculture, environmental science, data science, image processing
