Two PhD researcher positions at University of Alcala

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label Burse autorenew 2025-09-29, 17:00 history_edu Maria Dumitru
Concerns two full-time (minimum 3-year) PhD research positions in the domain of Semantic Data Infrastructures, at the department of Computer Science, University of Alcala. The PhD candidates will be involved in the FP7 research projects "agINFRA: A data infrastructure to support agricultural scientific communities" and "SemaGrow: Data Intensive Techniques to Boost the Real-Time Performance of Global Agricultural Data Infrastructures" that study scalable, efficient, and robust data services on top of heterogeneous large-scale data repositories and collections.

The two positions are offered as part of the collaboration between the Information Engineering (IE) research unit of the University of Alcala and Agro-Know Technologies, as part of their joint effort to contribute to the semantic interoperability and data analysis layers of these projects. Agro-Know is a small but fast growing research enterprise that aims to deploy meaningful and innovative services around high-quality agricultural data pools. The two groups have been working together closely in the past years, offering the opportunity to PhD students to work on research solutions that are applicable to real-life problems.



RESEARCH CONTEXT
In the agINFRA and SemaGrow projects, more than 15 organisations from Europe and the world (including prestigious institutions such as the Food and Agriculture Organization of the United Nations) are working together to offer better access to information for agricultural researchers and practitioners, using many ICT techniques such as intelligent information management, semantic enrichment and integration, as well as social data analysis. The successful candidates will work on tasks related to semantic infrastructures and data science, in order to solve research problems related to deploying data-driven services for agriculture.

It is expected that the PhD candidates will carry out applied research work that will start from the establishment of a theoretical framework, continue with the implementation of a software prototype and the experimentation with real data, and conclude with the validation of a proposed solution through a real-life user study.