University of Twente Offers Fully Funded PhD in Geo-Artificial Intelligence
Enschede, Monday, 24 February 2025.
The University of Twente provides an opportunity to study vegetation dynamics with a fully funded PhD in Geo-Artificial Intelligence, offering a salary up to €3,707. Apply by March 5, 2025.
Research Focus and Innovation
The University of Twente, located in Enschede, Netherlands, is launching this innovative PhD program as part of the EARTHONE Horizon Europe project [1]. The selected candidate will develop cutting-edge geo-artificial intelligence methods to analyze vegetation dynamics at both regional and local scales [2]. This research combines advanced machine learning techniques with environmental science, focusing specifically on mapping and understanding how vegetation responds to climate change and land-use modifications [1]. The program represents a significant advancement in applying AI to environmental monitoring, with researchers working alongside climate modelers, foresters, soil scientists, and agronomists [3].
Comprehensive Funding Package
The four-year PhD position offers substantial financial support, with a gross monthly salary starting at €2,901 in the first year and increasing to €3,707 by the fourth year [1][2]. Additional benefits include an 8% holiday allowance and an 8.3% year-end bonus [1]. The package also includes 41 holiday days per year and a comprehensive pension scheme [4]. Candidates will have access to professional development opportunities through the Twente Graduate School and state-of-the-art research facilities [4].
Eligibility and Requirements
The university seeks candidates with a Master’s degree in geospatial sciences, computer science, environmental sciences, or related fields [1]. Strong programming skills, particularly in Python, are essential, along with demonstrated experience in machine learning and geospatial modeling [2]. While Dutch language proficiency is not mandatory, excellent English communication skills are required [1]. The position emphasizes interdisciplinary collaboration, reflecting the university’s ‘High Tech Human Touch’ philosophy [5].
Application Process and Timeline
Interested candidates must submit their applications by March 5, 2025 [1]. The application package should include a motivation letter (maximum one page), a comprehensive CV with academic grades and references, a two-page research proposal, and a 250-word description of their most significant academic achievement [4]. First-round interviews are scheduled for March 19, 2025, with second-round interviews following the next week [1]. The selected candidate will contribute to developing innovative tools for vegetation monitoring and conservation while advancing their expertise in geo-artificial intelligence [4].