Job title:
University of Florence- NeuroSymbolic Learning published on the
Company:
Job description
Offer DescriptionThe project aims to explore the Neuro Symbolic (NeSym) Learning paradigm, merging rule-based AI with deep learning for scalable, explainable systems. It investigates various knowledge representation methods to model AI system data. A symbolic reasoning module will incorporate logic rules and hybrid strategies from reinforcement learning and generative models. GFlowNet will be used to generate causal graphs and model distributions over networked data. The NeSym paradigm will be applied to diverse problems like visual relationship detection, trajectory prediction, and semantic communications.RequirementsAdditional InformationEligibility criteriaInformation engineeging PhDEligible destination country/ies for fellows:
- Italy
Eligibility of fellows: country/ies of residence:
- EUROPE
Eligibility of fellows: nationality/ies:
- EUROPE
Selection processevaluation of titles and axaminaton by means of an interviewWebsite for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Università di Firenze Country Italy GeofieldWhere to apply WebsiteContact CityFirenze WebsiteSTATUS: EXPIRED
Expected salary
Location
Firenze
Job date
Sat, 20 Apr 2024 05:48:16 GMT
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