(apologies for multiple posts) Dear all, We are (urgently) recruiting a post-doc in the context of a collaboration with Scienomics/Paris and IRIT/Toulouse (see details below). Best regards, Cassia Trojahn
------------------------------- Post-doctoral position: Knowledge Representation for materials discovery and product development Context: Collaboration between Scienomics/Paris and IRIT/Toulouse In product development materials are selected and designed based on several criteria including performance, cost of production, availability, recyclability, and others. It is commonly accepted that the chemical space covers at least 1063 molecules making therefore the discovery of new materials with optimal design an impossible task to be performed following exhaustive screening and testing. Learning from known chemicals, translating the design requirements of the products and the constraints of the related processes into requirements for the materials to be discovered and testing then using virtual experiments is a viable route to follow. SCIENOMICS is developing SIMAGORA, an online marketplace offering virtual experiments for the eco-conception and development of products, and the materials needed. It implements no-code concepts and allows interoperability between simulation engines from diverse domains. The aim is to democratize simulation technology and will provide to the international scientific community the capability to offer cutting-edge virtual experimentation technology to all companies worldwide. ** Post-doc tasks ** In SIMAGORA semantics will play an important role since it will allow to gather experience and expertise available and implemented in technology that will be used to assist SIMAGORA users to take decisions. Ontologies are one of the critical technologies since they provide a formal ground for a self-guided online AI agent employing decision algorithms and provides automated virtual experimentation strategies for materials discovery and product development. This post-doc will have the main task of performing research and development activities for enabling semantics-aware data access, integration of heterogeneous sources and interpretation in terms of product design objectives in SIMAGORA. It involves the generation of simulation scenarios (structured graphs in the simulation space) based on ontologies rather than building them ad hoc. Therefore, the project consists of three main activities: (a) research and development in ontologies that will allow to capture product design and materials knowledge; (b) conceive methodologies to develop and evaluate knowledge graphs and (c) contribute to the conception of an AI agent, “robo-advisor”, capable to assist in materials discovery and product development through virtual experimentation execution. ** Requirements for this position ** Applicants are required to have a PhD in Computer Science, a strong background in semantic web technologies, ontology engineering, ontology construction and reasoning. Fluency in written / spoken English is required too. A good publication record and strong programming skills will be a plus.Capability to integrate a diverse group of people and supervise research and development work of PhD candidates. ** Work environment ** Localization : Scienomics, 16 rue de l’Arcade, 75008 Paris, FRANCE with short visits at IRIT, Institut de Recherche en informatique de Toulouse (IRIT) - UPS, 118 Route de Narbonne F-31062 Toulouse Cedex, FRANCE. Duration : 12 months, starting ASAP – 3 months of trying. Salary between 2 131 and 3 338 euros (depending on experience) ** How to apply ** Applications will be accepted until the position is closed. Applicants should send a full Curriculum including a complete list of publications, a cover letter indicating their research interests, achievements to date and vision for the future, as well as either support letters or the name of 2 persons that have worked with them. Contact: Cassia Trojahn <cassia.troj...@irit.fr> and Scienomics <ad...@scienomics.com> _______________________________________________ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
