Description of PhD student project
Topic: Semantic and Integrated Access to Databases with Application in the Materials Science Domain
In many areas there is a recent interest in making data FAIR, i.e., Findable, Accessible, Interoperable, and Reusable. Findable refers to the fact that data and metadata should be easy to find, accessible to the fact that it should be clear how to access the data, interoperable to the fact that the data needs to be integrated with other data and be usable by applications and workflows, and reusable to the fact that data and metadata are well described such that the data can be replicated or combined in different settings.
Ontologies have been proposed as a means towards making data FAIR.
Also in the materials science domain there is an awareness regarding the importance of the FAIR principles and efforts are on the way to develop upper ontologies and domain ontologies in the field.
In this project we will develop techniques for ontology-based access and integration of databases with a focus on materials databases. This will entail developing and extending ontologies for the materials design domain as well as the necessary methods and tools for achieving this. Further, a framework and techniques for ontology-based access and integration via APIs need to be developed and an working system needs to be implemented.
Our group
In our group we create an understanding of and solve research problems by developing theory (what are the fundamentals and how can they used to obtain theoretical solutions?), algorithms (based on the theory, and if necessary, explain and develop a clear understanding of why theory and practice differ), tools (based on the algorithms) and experiments (e.g., performance of the algorithms and user studies for the tools). We have extensive experience in ontology engineering and ontology development in different areas. In the materials science field we have developed the Materials Design Ontology and cooperate with the OPTIMADE consortium.
PhD student - requirements:
In addition to the general requirements for the position, we require fluent written and oral communication skills in English. Further, experience in ontology development and engineering is a merit. Experience of work with data in materials science is a merit.
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