Dear, (sorry for multiple postings) We are recruiting a post-doc at IRIT (France) in the context of the DACE-DL project (DAta-CEntric AI-driven Data Linking). Recruitment is scheduled for early 2022 for 24 months. Thank you for circulating this offer in your networks. Regards, Cassia Trojahn and Olivier Teste > ----------------------------------------------------------------- > ** Post-doctoral position at IRIT: Data Linking ** > > * Context: ANR project DACE-DL (DAta-CEntric AI-driven Data Linking) *Data > linking is the scientific challenge of automatically establishing typed links > between the entities of two or more structured datasets. A variety of complex > data linking systems exists, evaluated on public benchmarks. While they have > allowed for the generation of vast amounts of linked data in the context of > various dedicated projects, data generic systems often have limited > applicability in many real-world scenarios, where data are highly > heterogeneous and domain-specific. DACE-DL targets a paradigm shift in the > data linking field with a data-centric bottom-up methodology relying on > machine learning and representation learning models. We hypothesize there > exists a finite number of identifiable and generalisable linking problem > types (LPTs), that we need to categorize and analyse to provide better > linking results. > > * Topic: Data collect, consolidation, and data linking systems > modularization * > > This research is articulated in two main tasks. The first task consists in > (1) carrying out an in-depth analysis of the quality of the existing data > linking datasets, identifying erroneous statements and providing a > high-quality set of datasets by correcting those statements; and (ii) > generating additional links using existing high-precision linking systems on > the chosen datasets. Data quality metrics such as accuracy, consistency and > conciseness will be considered. > The aim of the second task is manifold : (1) to provide an inventory of > publicly available and functional linking tools that are able to deal with a > large spectrum of data linking problem; (2) to propose a theoretical approach > for the modularization of these tools into atomic modules easy to combine in > order to build more complex solutions in a linking ecosystem; (3) to make the > produced modules available to the data linking community. To do the > modularization at scale, we plan to call upon unsupervised ML algorithms, > enhanced by a human-in-the-loop approach. The objective is to provide a set > of correspondences between the modules and the LPTs. > > Starting period: January 2022 – duration of 24 months > > * Work environment and Salary * > > Localization : Institut de Recherche en informatique de Toulouse (IRIT) – > Universite Toulouse - Jean Jaures / Maison de la Recherche, 5, allees Antonio > Machado 31058 Toulouse. > Salary between 2200€ and 2700€ gross monthly depending on qualifications and > situation. > > * How to apply * > > Applicants are required to have a PhD in Computer Science, a strong > background in semantic web technologies, ontology matching and data linking. > Fluency in written / spoken English is required too. A good publication > record and strong programming skills will be a plus. Applications will be > accepted until the position is closed. Applicants should send a full CV > 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 Olivier Teste > (olivier.te...@irit.fr)
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