A PhD position is offered within the framework of NL4XAI: Interactive Natural Language Technology for Explainable Artificial Intelligence, a project funded by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement No. 860621.

PhD research topic: Argumentation-based Multi-agent Recommender System Host institution: Agencia Estatal del Consejo Superior de Investigaciones Científicas- CSIC (Spain), Barcelona-Spain. Required Degree: Degree in Computer Science (or similar), Master degree in Artificial Intelligence, Computer Science or equivalent providing access to a PhD program. 📆 Deadline for application: October 5, 2022 at 23h59 CET (UCT + 01:00) All details are available at: https://nl4xai.eu/open_position/esr72022-argumentation-based-multi-agent-rec...

NL4XAI is a European Training Network (ETN) project, which will train 11 creative, entrepreneurial and innovative early-stage researchers (ESRs), who will face the challenge of making Artificial Intelligence (AI) self-explanatory and thus contribute to translating knowledge into products and services for economic and social benefit, with the support of Explainable AI (XAI) systems. The focus of NL4XAI is in the automatic generation of interactive explanations in natural language, just as humans naturally do, and as a complement to visualization tools. As a result, ESRs are expected to leverage the usage of AI models and techniques even by non-expert users.

The NL4XAI consortium is made up of 19 partners and beneficiaries from 6 different European countries (France, Malta, Poland, Spain, The Netherlands and the United Kingdom). The consortium is coordinated by the Research Centre in Intelligent Technologies of the Univ. of Santiago de Compostela (CiTIUS-USC) and the partners correspond to 2 national R&D centres (IIIA-CSIC and CNRS-LORIA), 11 universities (Univ. Aberdeen, TU Delft, Univ. Malta, Utrecht Univ., Univ. Twente, Univ. Lorraine, Univ. Dundee, Univ. Autònoma de Barcelona, Univ. Santiago de Compostela, Warsaw Univ. of Technology and Maastricht University) and 6 private companies (Indra, Accenture, Orange, Wizenoze, Arria and Info Support).

Each ESR will work in an individual research project in a different host institution and will participate in academic and inter-sectoral secondments at the premises of other NL4XAI’s members.

We look for outstanding, motivated and team-spirited candidates to carry out a PhD within the NL4XAI ETN and who will get unique international and inter-sectoral training from prominent European researchers (from both academy and industry).

Young researchers willing to work on Explainable AI are encouraged to apply.

ralucasilvana.tomoni@usc.es