The Self-Organising Systems Group at Technische Universität Darmstadt, Germany invites applications for a
Ph.D. Position - Probabilistic Knowledge Graphs (E13, 100%) initially limited to a period of three years. Research area The Ph.D. student is expected to work in the domain of probabilistic methods for deep learning, in particular for graph convolutional neural networks and their use in uncertainty-aware knowledge graph completion. Developed methods will be applied in the context of biomedical research, in particular, for the rapid ingestion of biomedical findings from scientific preprint servers. Proper uncertainty quantification and fast recursive updating using random sketching techniques should enable the maintenance of a faithful formal knowledge representation at all times for a fast evolving biomedical subdomain. The ultimate use of these methods should be the debunking of emerging fake news as, for instance, encountered in the current COVID-19 pandemic. The research project will be conducted with the ATHENE National Research Center for Applied Cybersecurity and ample of opportunity will be provided to collaborate and to network within the Center. What we offer We offer a unique interdisciplinary environment to perform cutting-edge research at one of Germany’s leading universities in the domain of computer science and engineering. The Ph.D. candidate will be embedded in ongoing research activities within the Centre and will have full access to all facilities. The conducted research is expected to culminate in a Ph.D. degree. We offer comprehensive support for dissemination of results through leading scientific journals and through participation in leading international conferences and workshops. Your profile Candidates should have an excellent M.Sc. degree in one of the following fields: computer science, mathematics, physics or electrical engineering. Candidates are required to have a solid background in probability theory and machine learning. Strong programming skills and background in natural language processing is a plus. Application Technische Universität Darmstadt is striving to increase the proportion of women in its staff and therefore particularly invites women to apply. Applicants with a degree of disability of at least 50% or equivalent are preferred in the case of equal aptitude. Part-time employment is generally possible. We look forward to receiving your application, consisting of a cover letter in which you rationalize your interest in the indicated research area, curriculum vitae, copies of certificates and contact details of at least two academic references. Your application package should be sent as a single PDF file to [email protected] <mailto:[email protected]> Application deadline: Feb 28, 2022 Heinz Koeppl - Professor Technische Universität Darmstadt [email protected] +49 151 613 757 19 +49 6151 16 57235
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