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<h1 dir="ltr" style="line-height:1.2;text-align:
center;margin-top:6pt;margin-bottom:6pt;"
id="docs-internal-guid-5a1bfc80-7fff-a22d-b178-99833292d98d"><span style="font-size:13.999999999999998pt;font-family:Calibri,sans-serif;color:#2e75b5;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Post-doctoral position</span></h1>
<h1 dir="ltr" style="line-height:1.2;text-align:
center;margin-top:6pt;margin-bottom:6pt;"><span style="font-size:13.999999999999998pt;font-family:Calibri,sans-serif;color:#2e75b5;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Representing and enriching events in knowledge graphs</span></h1>
<p dir="ltr" style="line-height:1.295;text-align:
justify;margin-top:0pt;margin-bottom:8pt;"><span style="font-size:12pt;font-family:Calibri,sans-serif;color:#2e75b5;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Key</span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:#0070c0;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> </span><span style="font-size:12pt;font-family:Calibri,sans-serif;color:#2e75b5;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">words</span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:#0070c0;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">: machine learning on graphs, knowledge graph, event prediction</span></p>
<h2 dir="ltr" style="line-height:1.295;text-align:
justify;margin-top:2pt;margin-bottom:0pt;"><span style="font-size:12pt;font-family:Calibri,sans-serif;color:#2e75b5;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Context: XP-event project (2021-2024) </span></h2>
<p dir="ltr" style="line-height:1.295;text-align:
justify;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">An event is defined as “anything that happens, anything that fits over time”: meetings, phone calls, purchases, but also business buyouts, change of management, health crises, etc. The events are shared at through various communication channels that can be private (internal documentation, emails, Slack, Teams, phone, etc.) or public (press, Twitter, Facebook, etc.). Knowledge of these events is essential for humans to make decisions which themselves will have an impact on future events. Many innovative applications can benefit or even emerge from a technology capable of extracting events from various sources, representing them, aggregating them and exploiting them to predict future events. We can for example cite: anticipating demand for sanitary products, the supervision of cultural, advertising or festive events, but also the study of competition, the study of commercial markets, etc. .</span></p>
<p dir="ltr" style="line-height:1.295;text-align:
justify;margin-top:0pt;margin-bottom:8pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">One of the main obstacles to the deployment of these applications is the excessively high cost of their development when it is carried out on an ad hoc basis by competing players. The XP-Event project proposes to respond to this difficulty by setting up a common base for all the applications organized around the notion of event. This project is led by a consortium naturally formed by two companies (GeoTrend and Emvista) and a research team from the IRIT laboratory sharing this vision and each having significant scientific and technological heritage in the field.</span></p>
<h2 dir="ltr" style="line-height:1.295;text-align:
justify;margin-top:2pt;margin-bottom:0pt;"><span style="font-size:12pt;font-family:Calibri,sans-serif;color:#2e75b5;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Position Description</span></h2>
<p dir="ltr" style="line-height:1.295;text-align:
justify;margin-top:0pt;margin-bottom:8pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">The candidate will contribute to the tasks in which IRIT is involved, and will be more particularly in charge of realizing and implementing the proposed solutions. The first task concerns the representation of event graphs. The first task will be to define an adapted ontology and a process allowing to exploit it to access or represent in RDF the graphs of the industrial partners of the project, which are graphs of quite different nature. The second task aims at defining a process to evaluate the quality of the event graphs. Evaluation will be based on the ontology structure as well as on reasoning from the knowledge graph. The third task concerns the enrichment of these graphs. Two types of approaches will be implemented in the project, and for each of them research will be needed to advance the state of the art. The first approach consists in extracting information from texts. Each of the industrial partners already has its own processing chain that it will improve and unify. The second approach consists in exploiting the current state of a graph but also the structure of an event in the ontology to suggest the addition of new nodes or new relations to the graph. This approach will be implemented through learning algorithms from graph.</span></p>
<h2 dir="ltr" style="line-height:1.295;text-align:
justify;margin-top:2pt;margin-bottom:0pt;"><span style="font-size:12pt;font-family:Calibri,sans-serif;color:#2e75b5;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Requirements for this position</span></h2>
<p dir="ltr" style="line-height:1.295;text-align:
justify;margin-top:0pt;margin-bottom:8pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Applicants are required to have a PhD in computer science, and strong background ideally in two areas of artificial intelligence: semantic web technologies (ontology engineering, linked data management and querying, SPARQL, SHACL, RuleML, ...), and machine learning from graphs and vector representations, recursive neural networks, etc. Good programming skills (Python, OWL API) and experience in participating in collaborative projects is required. In addition, the candidate must have a taste for innovation, and the ability to dialogue and collaborate with industrial partners. Experience in managing graph warehouses (Virtuoso, Strabon, Neo4j...) is desired. Fluency in written / spoken English is required too. Fluency in French language will be a plus.</span></p>
<h2 dir="ltr" style="line-height:1.295;text-align:
justify;margin-top:2pt;margin-bottom:0pt;"><span style="font-size:12pt;font-family:Calibri,sans-serif;color:#2e75b5;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Work environment</span></h2>
<p dir="ltr" style="line-height:1.295;text-align:
justify;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Location</span><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> : Institut de Recherche en informatique de Toulouse (IRIT) - UPS, 118 Route de Narbonne F-31062 Toulouse Cedex - France and et UT2J, 5 allées Antonio Machado 31300 Toulouse</span></p>
<p dir="ltr" style="line-height:1.295;text-align:
justify;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Duration</span><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">: 24 months – starting as soon as possible (at best on May 1st, 2022)</span></p>
<p dir="ltr" style="line-height:1.295;text-align:
justify;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Host team</span><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">: MELODI </span><a
href="https://www.irit.fr/en/departement/dep-artificial-intelligence/melodi-team/"
style="text-decoration:none;" moz-do-not-send="true"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#0563c1;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;-webkit-text-decoration-skip:none;text-decoration-skip-ink:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">https://www.irit.fr/en/departement/dep-artificial-intelligence/melodi-team/</span></a></p>
<p dir="ltr" style="line-height:1.295;text-align:
justify;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">The candidate will work with four academic researchers from MELODI (F. Benamara, Ph. Muller, N. Aussenac-Gilles and N. Hernandez). He will collaborate with the partner companies in the project, namely Geotrend, located in Toulouse, and Emvista, located in Montpellier.</span></p>
<p dir="ltr" style="line-height:1.295;text-align:
justify;margin-top:0pt;margin-bottom:8pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Income</span><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">: between 2300 and 2800 euros before taxes (brut) monthly according to past experience</span></p>
<h2 dir="ltr" style="line-height:1.295;text-align:
justify;margin-top:2pt;margin-bottom:0pt;"><span style="font-size:12pt;font-family:Calibri,sans-serif;color:#2e75b5;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">How to apply? </span></h2>
<p dir="ltr" style="line-height:1.295;text-align:
justify;margin-top:0pt;margin-bottom:3pt;"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Applicants should send their application files before March 30th 2022 to the contact persons listed here below. Application files should contain at least a full Curriculum Vitae 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. </span></p>
<span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Applicants should contact: N. Aussenac-Gilles <</span><a
href="mailto:aussenac@irit.fr" style="text-decoration:none;"
moz-do-not-send="true"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#0563c1;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;-webkit-text-decoration-skip:none;text-decoration-skip-ink:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">aussenac@irit.fr</span></a><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">> and N. Hernandez </span><a
href="mailto:hernande@irit.fr" style="text-decoration:none;"
moz-do-not-send="true"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:#1155cc;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;-webkit-text-decoration-skip:none;text-decoration-skip-ink:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"><</span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:#1155cc;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;-webkit-text-decoration-skip:none;text-decoration-skip-ink:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">hernande@irit.fr></span></a>
<pre class="moz-signature" cols="72">--
Nathalie Aussenac-Gilles
IRIT - Equipe MELODI
Universite Paul Sabatier
118, route de Narbonne
31062 TOULOUSE Cedex 9
<a class="moz-txt-link-freetext" href="http://www.irit.fr/~Nathalie.Aussenac-Gilles" moz-do-not-send="true">http://www.irit.fr/~Nathalie.Aussenac-Gilles</a> <a class="moz-txt-link-abbreviated moz-txt-link-freetext" href="mailto:aussenac@irit.fr" moz-do-not-send="true">aussenac@irit.fr</a>
Tel : +33 5 61 55 82 93 Fax : +33 5 61 55 62 58
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