Language games for ontology alignment under partial observability (ARIAC project)

Project ARIAC by DigitalWallonia4.ai is a research project funded by the Walloon Region bringing together the five French-speaking universities and four Walloon research centres with the primary objective of accelerating the development of artificial intelligence technologies in Wallonia. The project is part of the TRAIL (Trusted AI Labs) initiative, launched in September 2020, which aims at enhancing the development of artificial intelligence technologies in Wallonia.

In the context of this position, you will investigate how a population of agents can autonomously develop a new language for exchanging information. The information held by each agent might be stored in entirely different formats and according to different ontologies. Through task-based communicative interactions, the agents invent, adopt and align the building blocks of an emergent language. This language can then be used by all agents in the population to exchange information, as it forms an abstraction layer over the individual ontological organisations and storage formats.

You will carry out this PhD project both individually and in collaboration with other researchers in the field. It is conceived as a 4-year program, starting with a 2-year contract that is renewable for up to 2 additional years. You will be supervised by Prof. dr. K. Beuls and Prof. dr. A. Cleve.

Profile - You have obtained a master’s degree in artificial intelligence, computer science, linguistics, mathematics or a related domain. - You have a solid academic track record. - You are passionate about building intelligent systems that are capable of interacting with their users and environment through natural language.

- You strive for excellence and have a scientific mindset. - You are a loyal team player, who can work autonomously and deliver solid scientific work. - You have strong communication skills and a good command of English. - Knowledge of French is considered as a plus.

Additional information For additional information please do not hesitate to contact Prof. K. Beuls or Prof. A. Cleve (see addresses below).

Important dates Submission deadline: July 1st, 2022 (11h59 pm AoE). Expected starting date: September 1st, 2022.

How to apply? Applications should be sent by e-mail to [email protected], [email protected] AND [email protected] and contain the following:

- A motivation letter describing your interest in the research topic - Your CV - A copy of your diplomas (Bachelor and Master, if available) - A transcript with the grades you obtained for each course taken on each university year - The name and e-mail address of two references to be contacted upon request

Title Full-time PhD researcher in artificial intelligence Université de Namur

Computational construction grammar and procedural semantics for multi-modal, linguistic, human-machine interaction (ARIAC project)

Project ARIAC by DigitalWallonia4.ai is a research project funded by the Walloon Region bringing together the five French-speaking universities and four Walloon research centres with the primary objective of accelerating the development of artificial intelligence technologies in Wallonia. The project is part of the TRAIL (Trusted AI Labs) initiative, launched in September 2020, which aims at enhancing the development of artificial intelligence technologies in Wallonia.

Current techniques for linguistic human-machine interaction focus on either speech signals, textual data or gestures. However, communication between humans is multi-modal in nature. In particular, spoken utterances are accompanied by gestures, pointing, eye gaze, facial expressions, and prosody amongst others. These multi-modal channels are of great importance to supporting the basic function of language, i.e. exchanging information between individuals. A great challenge for human-machine interaction resides thus in the integration of multi-modal signals into a single device for comprehending and producing natural language expressions. Within the ARIAC project, we will develop a novel methodology for multi-modal language comprehension and production. This methodology will be situated within the framework of computational construction grammar, a family of linguistic theories which is well-suited to accommodate the representation and processing of linguistic knowledge that combines different sources of information. While the representation of the form of linguistic expressions will consist in abstractions over data captured through different feature channels, the representation of the meaning of linguistic expressions will be formalised using procedural semantics. In this way, the information captured in the multi-modal linguistic expressions can be executed by a machine, or a machine can produce multi-modal expressions based on procedural semantic representations. The primary application domain of this research will be systems for multi-modal human-machine interaction, i.e. systems where humans can give instructions to a machine by simultaneously speaking and gesturing.

You will carry out this PhD project both individually and in collaboration with other researchers in the field. It is conceived as a 4-year program, starting with a 2-year contract that is renewable for up to 2 additional years. You will be supervised by Prof. dr. K. Beuls and Prof. dr. B. Dumas.

Profile - You have obtained a master’s degree in artificial intelligence, computer science, linguistics, mathematics or a related domain. - You have a solid academic track record. - You are passionate about building intelligent systems that are capable of interacting with their users and environment through natural language.

- You strive for excellence and have a scientific mindset. - You are a loyal team player, who can work autonomously and deliver solid scientific work. - You have strong communication skills and a good command of English. - Knowledge of French is considered as a plus.

Additional information For additional information please do not hesitate to contact Prof. K. Beuls or Prof. B. Dumas (see addresses below).

Important dates Submission deadline: July 1st, 2022 (11h59 pm AoE). Expected starting date: September 1st, 2022.

How to apply? Applications should be sent by e-mail to [email protected], [email protected] AND [email protected] and contain the following:

- A motivation letter describing your interest in the research topic - Your CV - A copy of your diplomas (Bachelor and Master, if available)

- A transcript with the grades you obtained for each course taken on each university year - The name and e-mail address of two references to be contacted upon request

Design engineer in digital humanities CELLF / ObTIC Co-funded by the European project ERC ModERN and ObTIC, this position has with the aim of strengthening the deployment of the digital policy of both teams.

Detailed description of the offer: https://obtic.sorbonne-univers ite.fr/actualite/offre-demploi-engineer-of-study-humanities-digital/

Main activities: - Design and build the main database of the ModERN project .

- Develop and implement the policy of processing and exploitation of the data contained in this textual database for corpus alignment, data mining and network analysis . Support research projects supported by the ObTIC team, in particular through the ad hoc development of text analysis, text mining and editing solutions.

- Support the development of digital tools and documentary production: environment, data, tools and procedures.

- Participate in the drafting of specifications for excavation and textual analysis projects

. - Participate in the scientific life of both teams: training, seminars and workshops.

Skills sought: - Mastery of network analysis tools, graphs and visual representations. - Mastery of a scripting language (Python ...) and databases. - Good knowledge of NLP tools, machine learning and language models (BERT, CamemBERT...).

- Knowledge of heritage standards (XML, TEI, IIIF...), query and transformation languages (Xpath, XSLT...), metadata and interoperability standards. - Other knowledge appreciated: search engines (Solr or ElasticSearch...), digital archive publishing (Omeka...).

Presentation of the two teams

CELLF: Research laboratory in literature, philology and text science , ranging from the sixteenth to the twenty-first century and including the Francophonie, specialized in literary history and critical publishing (paper and digital), the Center for the Study of French Language and Literatures (UMR 8599 CELLF, CNRS - Sorbonne University) has 80 researchers and teacher-researchers, 6 IT-BIATSS, and 150 to 200 doctoral students. Non-statutory members are also attached to it as "associate researchers". Hosted by Sorbonne University, it is multi-site (rue Victor Cousin, rue Serpente). CELLF encourages transdisciplinary and trans-secular projects. Digital humanities are at the heart of its scientific program.

The ObTIC: The Observatory of Texts, Ideas and Corpora (ObTIC) is a project team of the Faculty of Letters at Sorbonne University, dedicated to digital humanities and administratively attached to CELLF UMR 8599. Following on from the former ObVIL LabEx, ObTIC draws on expertise acquired in the production and editing of data, in the design and experimentation of software and algorithms for researchers in the humanities and social sciences, and in the development of new research methodologies, based on digital technology, within these disciplines.

Application Send a CV and a cover letter to project leaders before 3 June 2022.

- Glenn Roe: glenn.roe@sorbonne-University. en - Motasem Alrahabi : [email protected]

The GSSI - Gran Sasso Science Institute offers 38 PhD fellowships for the academic year 2022/23 and invites applications for fellowships for the PhD Programmes in "Astroparticle Physics" (9), "Mathematics in Natural, Social and Life Sciences" (11), "Computer Science" (9), "Regional Science & Economic Geography"(9).

The official language for all PhD courses is English. The fellowships are awarded for 4 years and their yearly amount is €16.159,91 gross. All PhD students have free accommodation at the GSSI facilities and use of the canteen.

The application must be submitted through the online form available at https://applications.gssi. it/phd/ by June 1st 2022 at 3 pm (Italian time zone).

The GSSI-Gran Sasso Science Institute is an international PhD school and a center for research and higher education in the areas of Physics, Mathematics, Computer Science and Social Sciences. Founded in 2012 in L’Aquila (Italy) as Center for Advanced Studies of the National Institute for Nuclear Physics (INFN) and then established in March 2016 as a School of Advanced Studies providing post-graduate education.

Through a day-to-day collaboration and interaction, researchers and students have the opportunity to build a sound knowledge of the research methods and to experiment contamination of interests, innovative approaches and multicultural exchanges in all the GSSI activities. In addressing the complexity of today’s world, GSSI is committed to removing all barriers between its areas of study and research. The dissemination of scientific results towards society and the promotion of cultural events for generic public, citizens and schools are among GSSI goals.

The MIS Laboratory of Amiens (www.mis.u-picardie.fr) offers, in collaboration with the CRP-CPO Psychology Laboratory, a thesis in computer science, more particularly in the field of EIAH and AI, entitled "Modeling and machine learning: a multidisciplinary approach to integrate the human factor in the construction of numerical assessments".

All information is available on ADUM: https://www.adum.fr/as/ed/ see proposal.pl?site=adumR&matricule_prop=43413

Application until 10 June.

Funding within the framework of a call for projects Demonstrator of Higher Education.

Do not hesitate to disseminate this information and to contact me for any further questions

Project: Hyperbolic Geometry for compositional generalization in NLP

Keywords: NLP, compositional generalization, hyperbolic geometry

We invite applications for an 18-month post-doc position at the Laboratoire d'informatique de Grenoble (LIG, Université Grenoble Alpes).

Despite their success in many NLP tasks, seq2seq models fail at learning simple generalization rules, i.e. interpreting novel combinations of known lexical items, as illustrated by results on challenge datasets such as SCAN [1] or COGS [2]. The HyperboTAL project is a multi-disciplinary collaboration aiming at applying the tools of hyperbolic geometry to improve the systematic compositional capabilities of Natural Language Processing models.

The project will build on recent proposals, as [3] and [4], that use hyperpolic geometry to better encode linguistic information (e.g. Poincaré embeddings).

- Literature review on hyperbolic geometry applications in NLP and deep learning approaches to systematic compositionality. - Design compositionality models that bring together the tools of hyperbolic geometry and those of deep learning. - Implementation and evaluation of proposed models on existing challenge datasets (COGS).

The scientific orientations of the post-doc may vary according to the candidates' background and interests.

- PhD in computer science. - Background and/or strong interest in Mathematics and Natural Language Processing. - Programming skills: proficiency in python and experience with a deep learning library. - Proficiency in either French or English.

- Location: Laboratoire d'Informatique de Grenoble (LIG), on Université Grenoble Alpes campus. - Cosupervision by Émilie Devijver (PI), Gérard Besson, Maximin Coavoux, Éric Gaussier. - Gross salary: minimum 2400 euros per month (depends on experience). - Starting date: September 2022 (flexible).

To apply, please send a cv and a cover letter to contacts below as soon as possible (applications are open until the position is filled).

Contacts (for applications or any questions regarding the position/project): [email protected] [email protected] [email protected] [email protected]

*permanent positions in the field of language / speech processing** are currently open at the DGA Maîtrise de l'Information (near Rennes), within a datascience team and AI in charge of providing expertise services in NLP.

The experts work closely with other departments, interfacing both with the civilian actors of the ecosystem (labs, companies) and with end users.

DGA MI is the technical expert of the Ministry of the Armed Forces for information and communication systems, cybersecurity, electronic warfare, navigation functions of weapons

systems and missile systems. You will find: - a high-tech environment; - a motivating application framework; - autonomous work, in a team with a strong collective spirit; - a privileged working environment allowing a very good personal and professional balance .

===> Link to the full advertisement: https://www.apec.fr/candidat/ research-job.html/emploi/detail-offre/167981363W <===

For any questions, do not hesitate to contact the technical team directly by writing to mailto:[email protected].

The GREYC UMR CNRS laboratory of the University of Caen Normandy and ENSICAEN (Caen, France), in collaboration with the company United Biometrics (Caen, France), is launching a call for applications for a postdoctoral research position (duration between one and 3 years) on the inference of the face from the voice. The work carried out will be carried out within the framework of the BIOPOP project (BIOmetry For Operations) funded by the AID (Defence Innovation Agency).

The goal is to infer information about a person's face from a raw recording of their voice. Recent preliminary work [1, 2, 3, 4] has shown the feasibility of this inference. It will not be a question of generating the exact face corresponding to the voice, but of generating a face that makes it possible to bring out the main discriminating characteristics of the face (gender, age, ethnicity, craniofacial attributes). This can be of great interest in security-related applications. This is because inferring a face from a voice can then allow an operator to perform different tasks from the inferred face image. We can mention for example: the check of the coherence between a voice and a face, the search for the inferred face in a database.

The post-doctoral fellow will realize a precise state of the art of the methods of inference of the face from the voice. It will implement a state-of-the-art solution based on generative models. Finally, he will develop a new, more efficient generative model, which can guarantee the generation of a realistic face to meet the expectations of the BIOPOP project.

PhD in computer science and specialized in machine learning. - Strong knowledge of deep learning, computer vision. - Publications in major conferences in the field. - Strong software development/programming skills, especially in Python/PyTorch. - Good written and verbal communication skills are required, the candidate must be fluent in French and fluent in written English. - Interpersonal skills and the ability to work individually or as a member of a project team are recommended.

- Laboratory: The GREYC laboratory (UMR CNRS 6072) is a Joint Research Unit in digital sciences under the supervision of ENSICAEN, CNRS and the University of Caen Normandy (UNICAEN). The work will be carried out within the Image team whose research activities are focused on the development of new methods of processing and analysis of signals/images/videos.

— Location: Caen (France), located in the Normandy region, near the sea and about 240 km west of Paris, the city still has many old districts, a population of about 120,000 inhabitants and an agglomeration of about 250,000 inhabitants, including more than 30,000 students at the University. — Duration: Two years, with a possible extension of one year.

— Salary: About 2300 € net per month.

— To apply: Interested candidates must submit (by email, in a single pdf file) their curriculum vitae, the list of their publications, a cover letter and the contact details of three references (do not include reference letters with your applications as we will only ask for them from pre-selected candidates). Applications will be accepted until the position is filled. The position will start in early October

— Contact / supervision: — Olivier Lézoray ([email protected], Professor, UNICAEN, GREYC) — Sébastien Bougleux ([email protected], Senior Lecturer, UNICAEN, GREYC)

— Christophe Charrier (christophe.charrier@unicaen. fr, Associate Professor HDR, UNICAEN, GREYC)

You will find attached a 24-month post-doc/CDD offer to the CEA List in Saclay (Université Paris Saclay) in Machine Learning with reinforcement learning and federated learning methods applied to AMR (Autonomous Mobile Robot) fleet navigation.

Type of employment contract: Private law

Duration of the employment contract: 2 years (1 year renewable once)

Administrative delay for the start of the contract: approximately 3 months Job location: Saclay (Ile-de-France)

Send CV and cover letter to: Aurélien Mayoue ([email protected]) Feirouz Ksontini ([email protected])

Position: 2 (two) Research Associates

Category: An initial one-year employment contract will be offered with the possibility for renewal depending on performance and project needs.

Location: Nicosia, Cyprus

Preferred Start Date: DATE or as soon thereafter.

Application Deadline: Remain open until the positions are filled (relevant to Research Associates)

CYENS Centre of Excellence (formerly known as RISE) is the Research Centre of Excellence in Cyprus focusing on Interactive media, Smart systems and Emerging technologies aiming to empower knowledge and technology transfer in the region. It is a joint venture between the three public universities of Cyprus - University of Cyprus, Cyprus University of Technology, and, Open University of Cyprus- , the Municipality of Nicosia, and two renowned international partners, the Max Planck Institute for Informatics, Germany, and, the University College London, United Kingdom. This project has received funding from the European Union’s Horizon 2020 research and innovation programme H2020-WIDESPREAD-01-2016-2017 (Teaming Phase 2) under grant agreement No. 739578, as well as from the Cypriot Government, local and international partners, and other sponsors.

The Centre conducts excellent, internationally competitive scientific research in the areas of visual sciences, human factors and design, communication, and artificial intelligence delivered by high-calibre multidisciplinary research teams. CYENS engages in knowledge transfer and innovation activities aiming to bridge the gap between scientific research and STEM-led innovation and entrepreneurship.

The research focus of CYENS is on interactive media, smart systems, and emerging technologies. Interactive media have become an integral part of our lives, changing the way that information is conveyed to the user and the ways users interact with devices, with other people, and with the world around them. Smart systems have offered a novel way of producing automated solutions to hard problems for which the mere use of the human intellect is insufficient.

Research in CYENS integrates the Visual Sciences, Human Factors & Design, and Communications & Artificial Intelligence, in a tight synergy that provides a unique interdisciplinary research perspective that emphasizes an “Inspired by Humans, Designed for Humans” philosophy. CYENS is designed to act as an integrator of academic research and industrial innovation, towards the sustainable fuelling of the scientific, technological, and economic growth of Cyprus and Europe.

The Extended Experiences (EX) MRG focuses on virtual and augmented environments as well as human-machine interactions generated by computer technology and wearables. Advanced extended reality combines human senses, and it requires new strategies for the design and implementation of novel applications and systems. The goal of this MRG is to focus on three related broad areas including: (a) extended reality, (b) advanced interaction and (c) physiological interfaces.

Responsibilities of Research Associate: The successful candidates will have the opportunity to conduct applied research in the aforementioned areas, towards the development of extended experience solutions. Indicatively, the MRG is looking for candidates who can design and develop robust, interactive virtual and augmented reality technologies for different application domains (i.e. cultural heritage, navigation, education, smart cities, health, etc. Individuals with research / innovation experience in relevant application domains, in addition to knowledge of key virtual and augmented reality technologies as well as computer graphics, are particularly encouraged to apply.

Position holders are expected to publish/present their research results in prestigious international conferences and journals and contribute to the Center’s key performance indicators by participating in the preparation of research and innovation proposals, in the preparation of project reports and deliverables, and in dissemination activities.

The successful candidate will work under the supervision of the Extended Experiences (EX) MRG Leader, Dr. Fotis Liarokapis.

General qualifications and requirements 1. M.Sc. / Ph.D. from an accredited university in Computer Graphics, Virtual Reality, Augmented Reality, Neuroscience, Human-Computer Interaction, or a related area. (Candidates with other backgrounds but with an otherwise solid profile may also be considered.) 2. Ability to independently identify problems and carry out research work within the scope of the MRG.

3. Ability to interact with stakeholders in application domains and identify opportunities for collaboration. 4. Excellent programming skills (e.g., C, C++, C#, Python, Java), mathematical maturity, and ability to learn quickly.

5. Computer games development skills for Unity / Unreal are considered an advantage. 6. Mobile application development skills for Android / iOS are considered an advantage.

7. Previous research experience and high impact research publications will be considered an advantage. 8. Previous relevant industrial / innovation / entrepreneurship experience and interest will be considered an advantage.

9. Previous grant-writing experience will be considered an advantage. 10. Language requirements: Very good knowledge of English, especially in reading technical / research articles. For non-EU applicants a work permit will be required

Take advantage of this opportunity for your professional and personal development by being a part of our fast- growing Research and Innovation Centre of Excellence. A very attractive remuneration package will be offered to the successful candidate according to qualifications and experience.

Application process For full consideration, interested applicants should submit the following items via the online application form and mention the position you are applying for: “Application for Research Associate: Extended Experiences (EX)”:

1. A cover letter which clearly specifies 1) contact details, 2) employment availability date, 3) part-time or full- time availability, and 4) MRG(s) of interest in order of priority

2. A detailed curriculum vitae in English. 3. Copies of academic transcripts

4. Description of their academic and research experiences as well as any relevant industrial / innovation / entrepreneurship experience, where applicable (500 words maximum). 5. Contact details of two University professors or one University professor and one industry referee who will provide the letters.

6. Two (2) representative publications (if applicable). 7. Two (2) representative innovation outcomes / products (if applicable). In case you previously applied for a post at CYENS CoE, a new application is required.

For general enquiries, applicants may contact the HR Department of CYENS, Centre of Excellence at [email protected] .

CYENS Centre of Excellence is an equal opportunity employer and the position is open to everyone, internationally.

The MICS (Mathematics and Computer Science for System Complexity) laboratory at CentraleSupélec (Université Paris-Saclay) is opening an assistant professor position in computer science.

Profile: Artificial intelligence, natural language processing and document analysis

https://www.centralesupelec. fr/sites/default/files/profil_lru_cdi_mcf_mics_informatique_fr_ang.pdf

A file in pdf format including: A letter of motivation ; A detailed CV (teaching experience, research, mobility, publications...) ; A project of integration; A copy of the identity card or passport; A copy of the doctoral diploma; Any document that can attest to the experience

must be sent by email only to the two contacts below before May 15, 2022 midnight (Paris time) at the latest, quoting reference GMCFCDIMICS2202 :

Lorraine Maret, Human Resources: [email protected] Elodie Ledoux, human resources: elodie.ledoux@centralesupelec. fr

Do not hesitate to contact me or the people listed below if you have any questions:

Scientific contacts: Céline Hudelot, director of the MICS laboratory: [email protected]

Frédéric Boulanger, director of the Computer Science department: [email protected]

CentraleSupélec is a public scientific, cultural, and professional institution (EPSCP in French) under the authority of the Ministry of Higher Education and Scientific Research and the Ministry of the Economy, Industry, and Digital Technology. Its main missions are training high-level scientific general engineers, research in engineering and systems sciences, and executive education. CentraleSupélec is part of the ParisSaclay University.

The Computer Science Faculty is an academic department at CentraleSupélec whose educational scope covers computer science for the 3-year CentraleSupélec Engineering Program. The department also manages Specialized Masters for CentraleSupélec such as the Master of Sciences in Data and Business Analytics (MSc DSBA) or the Master of Sciences in Artificial Intelligence (MSc AI)

The Mathematics Interacting with Computer Science (MICS) Laboratory is a research laboratory in Mathematics and Computer Science at CentraleSupélec. Research at MICS is concerned with the analysis and modeling of complex systems and data, whether they come from the industry, life or social sciences, financial markets, information technology, or networks.

Academic profile: The candidate will be part of the Computer Science Faculty. He/she will engage with core curriculum courses on computer science (algorithms, programming and information systems, coding weeks…) that form part of the CentraleSupélec engineering program. He/she will be particularly involved in the Computer Science and Digital Engineering major (Dominante Informatique & Numérique) and specialization courses in Artificial Intelligence over the three years of the curriculum (in the SDI and IA concentrations and the various MSc courses such as the MSc AI or the DSBA), in particular the lectures on deep learning for natural language processing. He/she will also supervise student projects, workshops on artificial intelligence, and relation with his/her research work. As some of these courses are taught in English, teaching in English is required.

Research profile: The candidate will join the MICS Laboratory to strengthen its research activity in Artificial Intelligence and, in particular, to reinforce its expertise in natural language processing and textual document analysis. The priority themes are natural language processing, deep representation learning of textual data, document analysis. It could also include issues related to the explicability and interpretability of models and the integration of multi-modal data (e.g., textual and visual). The candidate must demonstrate the ability to collaborate and lead research activities by supervising student work and should be able to establish academic and industrial partnerships on this activity at the national and international levels. The candidate will carry out his/her research within the LOGIMICS team. He/she will reinforce the axis concerning the analysis and semantic interpretation of unstructured data, especially visual data, and the axis of decision support systems, whose work focuses on recommendation and preference systems, collective and argued decisions and their explicability. He/she will also be part of the transverse AI axis of the MICS laboratory. These axes have numerous interactions with other teams and laboratories at CentraleSupélec, particularly the L2S ITA team, the CVN, the LISN, and the LGI.

Candidate profile: (Profile expectations) • The candidate must hold a thesis in the field of artificial intelligence. • The candidate must be author or co-author of publications in international journals (the publication requirement will depend on the curriculum vitae and the number of years of experience).

• The candidate is expected to have a taste for teaching, research and teamwork.

• The candidate is expected to supervise research work in line with the themes of the laboratory.

We are offering a post-doc position in artificial intelligence. This position is in relation with the BE4musIA project (a French «Chaire IA» project) that is dedicated to the study of tools coming from belief change theory, and more generally from knowledge representation and reasoning, for improving multi-source information analysis.

BE4musIA project in short The aim of the BE4musIA project is to use and develop tools coming from knowledge representation and reasoning (KR) in order to perform an analysis of pieces of information coming from different sources. The idea is to be able to produce at the same time an assessment of the reliability of the sources and a coherent view of the world that takes into account the received pieces of information.

This problem of trying to find the most plausible beliefs from different sources providing conflicting pieces of information is quite a frequent pattern. This is typically the case in applications in which one works with several sensors (that are typically not totally reliable), when one receives information from different agents (while some agents can be non-reliable, or, worse than that, with some agents being enemies trying to mislead you), or when one query several databases in order to answer to a query of a user.

Our aim is to study the basic abstract problem, using tools mainly coming from the knowledge representation and reasoning (KR) area, in particular methods coming from belief revision and belief merging, that formalize rational belief change, as well as inconsistency measures, which allows us to measure the extent to which certain pieces of information are in conflict with each other.

Topics for the position We welcome applications in any subject related to the project, in particular: o Belief Change o Belief Merging o Inconsistency handling o Inconsistency measures o Trust o Reliability assessment o Truth-tracking o Query-answering using multiple sources o Game Theory o Social Choice Theory

Environment The Be4musIA (permanent) members are Sébastien Konieczny (http://www.cril.fr/~konieczny), Zied Bouraoui (http://www.cril.fr/~bouraoui), Patricia Everaere(https://pro.univ-lille.fr/patricia-everaere-caillier/), Ramon Pino Pérez (https://dblp.org/pid/96/1310. html), and Ivan Varzinczak (http://ijv.ovh).

The position will be at CRIL (http://www.cril.fr), a CNRS lab in Université d’Artois, Lens (North of France).

Position The contract is a 12 months full time position. We are looking for a colleague with less than two years since PhD. The salary is the standard one for French post-doc positions (around 2700€ (gross) per month).

Contact and Application For any information or application please contact Sébastien Konieczny ([email protected]).

As part of the call for tenders for the PIA3 Dream*U project, we propose an interdisciplinary research topic (computer science at the service of learning and teaching practices). We are looking for a candidate with a master's degree in computer science with an interest in the sciences of education and university training. Skills in data science: web, multimodal content processing and analysis techniques (NLP, Machine Learning, Information Retrieval) are required.

Title: Social networks for learning: what impact of multimodal content on student autonomy and success?

Supervisors: Sébastien Fournier, UMR 7020 LIS

Ismail Badache, UMR 7020 LIS

Host laboratory: Laboratory of Computer Science and Systems - Aix-Marseille University

Summary of the subject: This thesis has the contribution of studying the effectiveness of social networks as part of a learning activity. We therefore propose to test the main hypothesis that the pedagogical use, for example, of resources available on social networks (e.g. TikTok, Twitter, Instagram, LinkedIn, etc.) or of a Facebook group in the context of the realization of a mini-project, for example, allows the implementation of effective learning processes by promoting collaboration for autonomy and the acquisition of expected skills. To achieve this, we will try to answer the following main question: "How can we say that the pedagogical use in learning situations of social networks, with all their features offered, contributes to the improvement of autonomy and student success with regard to the interactional dynamics and skills acquired by students?"

Before 27 May 2022 – Contact the thesis supervisors, with CVs, M1 and M2 report cards (semester 1 if available) and a cover letter.

May 30, 2022 – Selection of the candidate.

02 June 2022 – Application submitted by the student, argued and completed with the requested documents.

06 June 2022 – Meeting of the Scientific Evaluation Committee of the Evaluation mission to decide which candidates will be interviewed.

10 June – Results of applications selected for the auditions

15 June – Auditions of selected candidates 7- End of June – Results for a start of contracts on 1 October 2022.

Do not hesitate to disseminate this offer to your students and in your network.

Please, find details on: https://emploi.cnrs.fr/Offres/CDD/UMR7266-MELBEC-006/Default.aspx