We are looking for candidates for a thesis on the subject "Comparison and cooperation of approaches in the analysis of formal concepts for relational data"

The thesis would be carried out within the SDC team of the ICube laboratory (Strasbourg) in collaboration with the LACODAM team of the IRISA laboratory (Rennes)

as part of the ANR SmartFCA project. Description of the offer: https://seafile.unistra.fr/f/ 8d006149530e4bd59172/

Thank you for distributing this announcement to potentially interested students.

PhD. position in Computer Science Deep learning approaches and spatial relations reasoning for interpreting Byzantine seals

• Supervisors: – Isabelle BLOCH, LIP6 Laboratory, Sorbonne University – Victoria EYHARABIDE, STIH Laboratory, Sorbonne University • Location: LIP6 UMR7606 - Computer Science Research Laboratory, Sorbonne University.

• Ecole Doctorale: ED 130 - EDITE https://www.edite-de-paris.fr/ • Start date: Octobre 2022 • Keywords: Deep learning. Instance segmentation. Fuzzy Logic. Knowledge and model of reasoning. Byzantine sigillography

Abstract The general aim of the thesis is to combine computer vision, knowledge engineering, and mathematical modeling of spatial relationships to help with the interpretation of Byzantine seals. This research aims to (i) work on the recognition of objects on seals to analyze iconographic scenes; (ii) estimate the inception date of Byzantine seals; and (iii) propose solutions based on hybrid AI techniques to interpret damaged areas based on existing insights. The objective is to explore new artificial intelligence methods applied to Byzantine sigillography: instance segmentation with deep learning, knowledge graph embeddings, and spatial reasoning for image understanding. The thesis is expected to contribute to the intersection of computer vision, knowledge representation, and spatial logic.

Profile of applicant The candidate must fit the following requirements: • A Master degree in Computer Science or Engineering is required. • Advanced skills in Python programming are mandatory.

• A strong background in Machine Learning, Deep Learning, and image analysis using related libraries (scikit-learn, Tensorflow, Pytorch, etc.). • Motivation for interdisciplinary research will be appreciated, as well as for artificial intelligence at large.

• Fluency in written and spoken English is essential. • Communication skills in French are required too.

Research environment The proposed thesis will be carried out within the LFI (Learning, Fuzzy and Intelligent systems) team at LIP6. Isabelle Bloch and Victoria Eyharabide will jointly supervise the PhD candidate to work on new approaches combining knowledge graph embeddings [7] and mathematical modeling of spatial relationships [5] for image understanding. This research will be developed within the framework of the ANR BHAI project, grant number ANR-21-CE38-0001 https://anr. fr/Project-ANR-21-CE38-0001, started in October 2021 for 4 years.

Application Applicants should send an email to Isabelle Bloch [email protected] and Victoria Eyharabide [email protected] with:

• A full curriculum vitae, including a summary of previous research experience. • A transcript of higher education records

• A one-page research statement discussing how the candidate’s background fits the proposed topic • Two support letters of persons that have worked with them.

The research laboratory GREYC UMR 6072 (https://www.greyc.fr/) and the Munster Technological University (Ireland) are launching a call for applications for a PhD student position in the field of information access in text-blind situation.

In the face of the increasingly widespread advent of nomadic and ubiquitous access to information, and with a view to reducing the digital divide, it is imperative to allow the greatest number of people to understand the informational and organizational structure of web pages, which is at the same time global, naturally interactive and independent of the support. The Web is characterized by a multi-support, multi-application, multi-task, multi-object logic that builds a visual and organizational structuring of the information often complex.

When they are well calibrated, the typographic and layout properties allow a user to quickly pick up a large number of clues, and to activate non-linear interactive strategies consistent with reading objectives. But certain user populations may have difficulties due to pathologies related to both the perceptual and cognitive spheres; a degradation of decoding capacities (semantic, logical or visual) of these highly structured contents is then observed.

We group together under the term of "textual blindness" this inability to easily interpret documents for perceptive reasons (visual impairment, blindness) or cognitive reasons (receptive dysphasia, mental handicap). This thesis, at the intersection of Natural Language Processing and Human-Computer Interaction, aims at exploiting the results obtained in two projects TactiNET (https://www.youtube.com/watch?v=jAqYQzfL-is) and TagThunder (https://www.youtube.com/watch?v=vrET36OcjJs), to develop a multimodal interaction model in the context of information access in a text-blind situation. Thus, the results of this work have allowed us to make the hypothesis that a multimodal platform integrating the two modalities would substantially improve the perception/action loop for the interpretation of web documents in a situation of textual blindness.

This thesis will aim at designing an architecture that (1) integrates haptic and sound modalities, and (2) promotes reading paths based on multi-grain semantics. The device will propose a multimodal navigation oriented by (1) textual units belonging to a visual, logic and thematic organization within the documents and (2) the hierarchical links they have with each other or with the semantic concepts they convey.

The successful candidate should have a Master's degree or equivalent in computer science or electronics. A solid background in computer science is required and knowledge in electronics and natural language processing would be appreciated.

If you are interested in this position, please send the following information to Gaël Dias ([email protected]), Fabrice Maurel ([email protected]) and Mohammed Hasanuzzman ([email protected]):

- Detailed CV - Transcripts of undergraduate and graduate degrees. - Letters of recommendation (up to 3 maximum)

Applications will be considered until the position is filled or before July 31, 2022.

For more information, please contact Gaël Dias directly ([email protected]) or Fabrice Maurel ([email protected]) or Mohammed Hasanuzzman ([email protected]).

I am Emilie in charge of recruitment for the company EOWIN. We are currently looking for a Linguistic Engineer on TOULOUSE.

If you are interested, I invite you to see our offer on our website and apply:

https://taleez.com/apply/ingenieur-linguistique-h-f-toulouse-eowin-cdd

Also subscribe to our LinkedIn page to follow our news: https://www.linkedin.com/company/eowin

To inform you a little more, EOWIN is one of the leaders in consulting, engineering and digital document management services , mainly for the energy, defense, telecommunications and aeronautics sectors. Our clients are all over France and we have several job opportunities.

Post-doctoral position Representing and enriching events in knowledge graphs

Keywords: machine learning on graphs, knowledge graph, event prediction Context: XP-event project (2021-2024)

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. .

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.

Position Description 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.

Requirements for this position 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.

Work environment Location : Institut de Recherche en informatique de Toulouse (IRIT) - UPS, 118 Route de Narbonne F-31062 Toulouse Cedex - France and UT2J, 5 allées Antonio Machado F-31300 Toulouse

Duration: 24 months – starting as soon as possible (at best 2 months after application)

Host team: MELODI https://www.irit.fr/en/departement/dep-artificial-intelligence/melodi-team/

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.

Income: between 2300 and 2800 euros before taxes (brut) monthly according to past experience

How to apply? Applicants should send their application files 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.

Applicants should contact: N. Aussenac-Gilles ([email protected]) and N. Hernandez ([email protected])

As part of a project funded by the France Relance plan, we are proposing a postdoc.

Titre : "Activity séquences prediction using transformers"

The objective of the project and to predict the sequence of activities for a running process. The project is set in the context of Predictive Process Mining.

Inspired by the approaches used in the field of NLP for the prediction of word sequences and those used for the completion of images, we plan to use a Transformer-type neural network architecture.

We are looking for someone with experience with these architectures. Start data: as soon as possible. For more details, please contact me ([email protected]).

The Knowledge Representation and Reasoning (KRR) group (https://krr-cu.github.io) at Cardiff University is actively looking for potential postdocs to apply for Marie Skłodowska-Curie Individual Fellowships (https://www.cardiff.ac.uk/jobs/fellowships/marie-skodowska-curie-individual-fellowship). These will usually be for 2 years, probably starting in the second half of 2023 (application deadline is this September).

Could you forward this information to anybody you know who might be interested in applying? Interested candidates should send an email to Richard Booth ([email protected]) to discuss further.

As we are looking to strengthen the KR research area in Cardiff, we would be particularly interested to support applications in the following areas:

- Argumentation (Martin Caminada, Sylwia Polberg, Hiroyuki Kido, Richard Booth) - Belief revision, update and merging (Richard Booth) - Epistemic reasoning, non-monotonic reasoning (Richard Booth) - Social choice theory (Richard Booth) - Description logics (Yazmin Ibanez Garcia, Victor Gutierrez Basulto) - Knowledge Graphs (Yazmin Ibanez Garcia, Victor Gutierrez Basulto, Steven Schockaert)

- Data Quality (Yazmin Ibanez Garcia, Victor Gutierrez Basulto) - Learning & Reasoning (Victor Gutierrez Basulto, Steven Schockaert, Yazmin Ibanez Garcia) - Equality and diversity biases in artificial intelligence (Sylwia Polberg)

Applicants must have a PhD degree at the call deadline and a maximum of 8 years experience in research from the date of PhD. At the time of the deadline for submission, they shall not have resided or carried out their main activity (work, studies, etc) in the UK for more than 12 months in the 3 years immediately prior to the submission date.

The candidate would need to submit an Expression of Interest (EOI) to our university by **12 June** and then write a proposal, under the guidance of a supervisor chosen from our group. Our university's Research Office also offers support in dealing with what to write for the non-scientific aspects of the proposal.

Program DesCartes is a large French-Singapore program led by CNRS@CREATE, the first international subsidiary of CNRS.

We are recruiting 14 students (having a Bachelor/Master or currently in M1 or M2) to pursue a PhD, mostly in Singapore in top 15 university worldwide and some in France, all co-advised by French and Singaporean researchers, around AI, particularly around the fields of:

-Automated Reasoning (SAT&SMT solvers…), -Explanations, Verification and Certification of AI, -Formal Methods -Repair, Healing, System composition -Differential privacy, algorithmic fairness, and federated Learning.

but also more generally Machine Learning, Data base, Signal processing, NLP, HCI

A (non-exhaustive) list of PhD topics can be found at: https://www.cnrsatcreate.cnrs. fr/descartes-phd/

We have schemes for very competitive salaries for PhDs in Singapore (~3.000 euros/month ++)

Students interested need to contact ASAP: descartes-hiring@cnrsatcreate. sg

More information can be found at https://www.cnrsatcreate.cnrs. fr/descartes/

Inserm is recruiting a Senior Researcher (CDI) in security and artificial intelligence of confidence in health, see the links below for more details.

Application deadline: 24 June 2022.

Salary: 45,600 euros gross annually.

English Inserm is recruiting a Senior Researcher in security and trusted artificial intelligence in healthcare. The links below detail the job offer.

Application deadline: 2022/06/24. Salary: 45 600 euros gross per year.

Links https://pro.inserm.fr/wp-content/uploads/2022/04/chaire-cybaile-.pdf

https://pro.inserm.fr/appel-a-applications-2-industrial-chairs-in-artificial-intelligence

Application deadline: 09/06/2022, taking office on 01/06/2022. Complete job description attached.

Statutory service: 384 HETD

Location of the position: Institut National Universitaire Champollion, Ecole d'Ingénieurs ISIS, Campus universitaire de Castres, 95 rue Firmin Oulès - 81100 Castres

Job Profile: The recruited teacher will reinforce the ranks of the pedagogical team of the ISIS Castres engineering training. His background or profile will clearly justify real skills in information systems, if possible in health (Master / Computer Engineer, Doctorate, professional experience ...).

Teaching in the field of engineering and management of information systems: modeling and data management, modeling and management of processes, architecture and urbanization of information systems, security of information systems, project management, quality management, information systems technologies (workflow, BPM, etc.), interoperability of systems

The courses will be given mainly for the engineering cycle under student status as well as under apprentice status.

Supervision of trainees and supervision of tutored projects / innovation projects.