OFFER DEADLINE30/09/2022 14:00 - Europe/Brussels
EU RESEARCH FRAMEWORK PROGRAMMEHE / MSCA
ORGANISATION/COMPANYInternational Research Projects Office
DEPARTMENTPromotion and Advisory Unit
Professors Encarnación Hidalgo Tenorio, from the Department of English and German Philology and Juan Luis Castro Peña from the Department of Computer Science and Artificial Intelligence at the University of Granada welcome postdoctoral candidates interested in applying for a Marie Skłodowska-Curie Postdoctoral Fellowship (MSCA-PF) in 2022 at this University. Please note that applicants must comply with the Mobility Rule (for more information about the 2022 call, please consult: http://sl.ugr.es/0cmA).
Brief description of the institution:
The University of Granada (UGR) was founded in 1531 and is one of the largest and most important universities in Spain. With over 55,000 undergraduate and postgraduate students and 6,000 members of staff, the UGR offers over 110 undergraduate degrees, 150 master’s degrees (14 of which are international double degrees) and 28 doctoral programmes via its 124 departments and 30 centers. Accordingly, the UGR offers one of the most extensive and diverse ranges of higher education programmes in Spain.
The UGR has been awarded with the "Human Resources Excellence in Research (HRS4R)", which reflects the institution’s commitment to continuously improving its human resource policies in line with the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers. The UGR is also internationally renowned for its excellence in diverse research fields and ranked among the top Spanish universities in a variety of ranking criteria, such as national R&D projects, fellowships awarded, publications, and international funding.
The UGR is one of the few Spanish Universities listed in the Shanghai Top 500 ranking - Academic Ranking of World Universities (ARWU). The 2021 edition of the ARWU places the UGR in 201-300th position in the world and as the 2-4 highest ranked universities in Spain (http://sl.ugr.es/0cmF), reaffirming its position as an institution at the forefront of national and international research. The UGR stands out in the specialties of Library & Information Science (position 36); Food Science & Technology (39) and Hospitality & Tourism Management (51-75), according to the latest edition of this prestigious ranking by specialties (http://sl.ugr.es/0bSp). A little lower in the ranking, the UGR also stands out in Mathematics (76-100) and Mining & Mineral Engineering (76-100).
Additionally, the UGR has 8 researchers who are at the top of the Highly Cited Researchers (HCR) list (http://sl.ugr.es/0cmD), most of these related to the area of Computer Science. It is also well recognized for its web presence (http://sl.ugr.es/0a6i), being positioned at 54th place in the top 200 Universities in Europe.
Internationally, the University of Granada is firmly committed to its participation in the calls of the Framework Programme of the European Union. For the duration of the last Framework Programme, Horizon 2020, the UGR obtained a total 118 projects with a total funding of around 29,233 million euros. For the current Framework Programme, Horizon Europe, the UGR has obtained 19 projects, some of which are in the process of being funded, with total funding, to date, of 4,553,319 Euros.
Brief description of the Centre/Research Group:
As evidenced in the CV of all the team members, their trajectories show that they have already launched and/or participated in some initiatives related, thematically or methodologically, to our proposal here, whether in the area of Artificial Intelligence, Corpus Linguistics or Critical Discourse Analysis. Some of them have the expertise of leading funded academic projects; others’ work has also been central in harnessing the combination of research and its more practical side thanks to their ventures of technology transfer. Our team members have worked on profile identification based upon various socio-demographic variables; they are well acquainted with the sociopragmatics of fake news, are experts in big data and corpus methodologies, and have extensive experience in the study of the communication strategies in social media. In the last 5 years, we have been awarded 3 funded research projects (FFI2016-79748-R, A-HUM-250-UGR18 and P18-FR-5020) with the aim of detecting, tracking, monitoring and analysing terrorist discourse on the Internet, and have designed a sentiment analysis tool for Twitter called Nutcracker (https://nutcracker.ugr.es/signup) (see Francisco, Zurita & Castro, 2018; Francisco & Castro, 2019; Francisco & Castro, 2020; Francisco, Benítez-Castro, Hidalgo-Tenorio & Castro, In press). Interestingly, Prof. Hidalgo Tenorio is the first female Chair in the English Department, with one of the highest h- score, and, according to the University of Stanford,Prof. Castro Peña is one of the most cited and influential authors in his field. (See https://canal.ugr.es/noticia/los-59-magnificos-de-la-ugr-la-universidad-...)
“Fake News in Social Media. Three Case Studies” (FAKES) is a follow-up to a FEDER-funded research project with reference number FFI2016-79748-R co-directed by Encarnación Hidalgo Tenorio and Juan Luis Castro Peña, where radical Islamism was studied from the point of view of Discourse Analysis. Its results were integrated with Artificial Intelligence techniques to monitor this type of narratives in the social media. As can be seen in the report issued by the Spanish Civil Guard, one of the end users of FFI2016-79748-R, the latter along with the tool developed in its framework (known as Nutcracker) have been highly valued by the EPO of the project, to such an extent that subsequent collaboration schemes with Interpol have been achieved. In view of its success and effectiveness, it is now a question of using the same collaborative strategy between linguistics and the most up-to-date Artificial Intelligence techniques to address the study of misinformation in three different case studies: Climate change, populism and Covid-19. To carry out this project, an analysis of fake news in social media will be carried out from the perspective of Corpus-based Critical Discourse Analysis and Systemic-Functional Linguistics. Using Computational Intelligence techniques, proposals will be made for the semantic extension of linguistic patterns in Fakespeak, and the adaptation of the latter to the evolution of language. Nutcracker will be used for the compilation of linguistic corpora, their semi-automatic annotation, or the automatic tagging of relevant aspects such as sentiment or emotion. Additionally, these patterns will be used as features that will be considered in the development of both algorithms to detect fake news automatically, in general, and as specialised versions of those same algorithms for the detection of misinformation in each case study. For this purpose, several Machine Learning techniques will be applied, especially Deep Learning and Support Vector Machines (SVMs), which will incorporate those features into the usual ones. Finally, the versions showing the best results will be included in Nutcracker, so that it can be used to monitor and detect false news, in general, and those related to populism, climate change and Covid-19, in particular.
- Social Sciences and Humanities (SOC)
- Information Science and Engineering (ENG)
- Letter of recommendation (optional)
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