PhD Candidate Maastricht University | ‘Using Ontologies to build a Knowledge Graph for Molecular Interactions of Nanoparticles’

Ph.D. Candidate, Using Ontologies to build a Knowledge Graph for Molecular Interactions of Nanoparticles in the Department of Bioinformatics, School NUTRIM at the Faculty of Health, Medicine and Life Sciences

Deadline: 14 November 2021

More information and apply at Academic Transfer: AT2021.283


36—40 hours per week

€2434—€3111 per month

Maastricht, the Netherlands

Job Description

Nanotechnologies are increasing our ability to improve our quality of life. Whether it is through their use in innovative medicine, like in the SARS-CoV-2 vaccines, or by reducing the cost of smartphones, nanomaterials have found their way into our society. The human body and nature make plenty of nanomaterials themselves, and a detailed understanding of their interactions with cells is essential information. This requires integration of knowledge about the (engineered) nanomaterials, proteins, and biological processes, for which ontological representations are needed.

In this project, you will take control of various ontologies to support the development and maintenance of the Web Ontology Language (OWL) ontologies and tools like the OWLAPI and ROBOT, and take responsibility for the release management of the eNanoMapper nanosafety, CHEMINF, and nanoparticle ontologies.

You will combine the ontologies and use OWL Axioms to represent complex concepts to model new types of knowledge from various (inter)national research projects, including NanoCommons, EU-ToxRisk, NanoSolveIT, RiskGONE, Sbd4Nano, and VHP4Safety; and databases like WikiPathways, AOP-Wiki, UniProt, and ChEBI. Using these ideas as a starting point, you will develop solutions to model molecular initiating events and molecular Adverse Outcome Pathways (AOPs). You will collaborate in our BiGCaT research team and with researchers from other projects.

Read more here: Source link