FIXED-TERM CONTRACT (5 years), Junior Fellow scientists in AI and interactions (F/M), ENS-PSL (Paris)



  • PSL opens several positions called, in French, Junior & Senior Fellow in Artificial Intelligence and Interactions (F/M)


  • Detailed job descriptions are published on the following page for Junior Fellows:


  • https://recrutement.psl.eu/junior-fellow-intelligence-artificial-and-interactions


  • The Lattice (https://lattice.cnrs.fr/) is a laboratory developing research in language sciences, as well as in automatic language processing and applications, particularly in the field of Digital Humanities.


  • The Lattice participates in the research of the 3IA Prairie Institute (https://prairie-institute.fr/).


  • It is therefore possible to apply for the Lattice as a home laboratory for the above fellow positions. The deadline to apply is close (June 24) but the recruitment process is light, for a position on September 1.


  • The remuneration and the conditions of exercise are detailed on the site above.


recruitment for a Data Scientist position



  • Applications should be sent by email to: [email protected]


  • The Léon Bérard Center: In Lyon, the Center Léon Bérard is a private healthcare establishment non-profit, participating in the public hospital service, exclusively dedicated to the fight against cancer. It carries out care missions, but also research and training. The vocation of the Léon Center Bérard is to offer excellent care to people suffering from cancer. The organization of care is multidisciplinary, involving doctors of all specialties, caregivers, and involving the patient in his care pathway.


  • Some numbers : - The Center has 321 surgery/medicine beds and works on HAD (hospitalization at home) with 202 dedicated places - More than 200 doctors follow 34,400 patients each year - It includes a research center of more than 500 people


  • The project : The CLB has been involved in artificial intelligence projects for several years with academic and industrial partnerships. These projects benefit from our very large database of more than 340,000 patients (corresponding to more than 15 million documents) developed in-house and which has been gradually computerized since 1993.


  • The CLB is invested in the development of medical devices digital systems based on artificial intelligence methods with several achievements, for example: - automated anatomopathological diagnosis with Owkin https://www.nature.com/articles/s41591-019-0583-3


  • - automatic contouring of scanner images with Therapancea and other applications in radiotherapy https://www.centreleonberard.fr/institution/actualites/radiotherapie-et-intelligence-artificielle-vers-une-revolution


  • - and several applications using NLP methods on patient record data such as data structuring https://www.em-consulte.com/article/1097055/And the CLB offers a favorable environment for the development of new applications for oncology, for example:


  • - Several artificial intelligence research teams - On the image https://www.creatis.insa-lyon.fr/site7/fr - On the text with the recently formed teams of the DataFactory (structuring and qualification of data) and PôleData (versatile AI support) - On the molecular, geographic and biological data of cancer…


  • - Participation in the UpSMART consortium https://upsmart.digitalecmt.com/ - Important network of industrial collaborations - Conducting validation clinical trials


  • Project objectives: Develop machine learning tools on data including free text for cancer applications. The predictions can relate to survival data, categories medical events or text generation. Several methods and pre-trained models have been developed and can be used for the project. The development of interfaces to facilitate the use of the tools is strongly encouraged and can benefit from expert collaborations.


  • Organization : You will be hierarchically attached to an AI medical researcher and You will work closely with the IT department hospital, the PôleData and DataFactory teams, and the medical users. One or more industrial partnerships are currently under construction and will allow the candidate a choice in terms of career prospects.


  • The mission : The project will focus on free texts generated by monitoring patients at CLB. The mission will consist of using the best existing tools for textual data, their training or refinement on the tasks developed in the project (confidential to this stage), to test the performance of the model on different cohorts of patients and to present the results for publication in peer-reviewed international journals, and to promote the interface development for use in the medical field.


  • The profile : You : - Are a graduate of a major engineering school and/or a 3rd university cycle specialized in Data Science or Statistics applied - Justify a first successful experience as Data Scientist NLP


  • - Would like to participate in a mission of general interest and are interested in the field of health - Have a fluent level of English - Have good writing, analysis and synthesis skills


  • You have expertise in one of these areas: - Knowledge of language processing techniques


  • - Knowledge of machine learning: neural networks, Transformers, text generation… - Proficiency in Python and NLP libraries - Knowledge of relational databases and SQL language


  • Are a plus: - Mastery of the Microsoft development environment (Visual Studio .Net, SQL Server) - Knowledge of statistics applied to medical research


  • And humanly? - Rigorous and curious, you demonstrate autonomy and like to propose and take up new scientific challenges and techniques - Ability to understand issues related to research, analysis data and machine learning technologies, particularly in the field of health (public health, genetics, epidemiology, etc.)


  • - Team spirit and willingness to take part in an adventure collective - Sense of listening, results and quality.


  • Benefits - Joining the Center Léon Bérard means: - Work for a company with strong and recognized expertise by the international scientific community - Join a human-sized Data group within a company listening to its employees and serving its fellow citizens - Take part in an innovative project, in full construction where everything is to be done


  • - Benefit from a pleasant working environment (Social and economy (ex Works Council), company restaurant, bicycle plan, etc. LYON (Grange Blanche metro, T2/T5 trams) - Possibility of partial telework - The desire to continue training in the latest NLP methods is encouraged. You can be force of proposal on a organization in this direction.


  • If you are tempted by an experience where you will fulfill professional and “useful” work for the benefit of improving the care of our patients so join us! Remuneration to be discussed according to the profile.


  • Status frame Type of employment: Full time, CDI


  • Advantages : - Company crèche - Participation in Transportation -RTT - Remote work


  • Schedule : - Daytime work


  • Experience: - Data Scientist NLP: 1 year (Required)


  • Telework: - Yes sometimes


  • Application (updated CV + cover letter) to be sent by email to: [email protected]


Call for applications for a funded PhD in Digital Humanities at the University of Genoa (Italy), co-director of Grenoble Universities Alps, Savoie Mont-Blanc. Language, IT and language skills digital humanities.



  • Candidates must register on the site: Dottorati di ricerca (https://unige.it/studenti/dottorati-di-ricerca) *Applications close June 30, 2022*. The competition is will take place in Genoa.


  • The working languages are French, English and Italian.


  • The description below is presented in the following document (P.26, point 4.): Scuola di Dottorato (unige.it) https://unige.it/sites/contenuti.unige.it/files/documents/ALLEGATO_A_XXXVIII%20-%20EN.pdf


  • Innovative methodology of digital humanities and more specifically Artificial Intelligence and Open Data, for management and valorizzazione dei dati delle Publicche Administrazioni nel web; costituzione di knowledge graphs tramite una terminologia-ontologia per collegare e strutturare i dati in effective modo per il web semantico (Linked Open Data (LOD)). Sperimentazione di tali metodologie ai finished dell'analisi di un caso di studi specifico con la realizzazione di un modello che possa poi essere esteso ad altri domini e strutture.


  • Innovative methodologies in digital humanities (IA, open data) for management and valorization of Public Administrations' data on the web; creation of knowledge graphs using a terminology-ontology to link and structure data effectively for the semantic web (Linked Open Data (LOD)). Experimentation of these methodologies for the purpose of analyzing a specific case study with the creation of a model that can then be extended to other domains and structures.


  • For further information please contact: Caroline Djambian: [email protected]


Postdoctoral research position in multimodal data fusion - IMT-Atlantique Brest



  • The RAMBO team of IMT Atlantique offers a 15 months post-doctoral position in multimodal data fusion, within the framework of the European/Japanese e-VITA project.


  • Description and link to apply:


  • - In English: https://institutminestelecom.recruitee.com/l/en/o/postdoctorante-ou-postdoctorant-en-fusion-de-donnees-multimodales-cdd-15-mois


  • - En Français: https://institutminestelecom.recruitee.com/o/postdoctorante-ou-postdoctorant-en-fusion-de- donnees-multimodales-cdd-15-mois


PhD. position offer on knowledge modelling and data completion for urban water networks



  • The I3S laboratory of the Université Côte d'Azur and the UMR HydroSciences of the University of Montpellier are looking for a candidate for a thesis on knowledge modeling and data completion for urban water networks. The PhD is funded by the ANR CROQUIS of the National Research Agency (ANR-21-CE23-0004).


  • 3 Profile sought • Master 2 in computer science, specialty Artificial Intelligence or data analysis; Mas- ter 2 in Water Sciences or Hydraulics with skills in Geomatics and in hydrological modeling; Master 2 in Geomatics.


  • • Tools and languages: a mastery of Python and its ecosystem is desirable • Ability to work in a multidisciplinary team. 4 Framing • Nan ́ee Chahinian, UMR HydroSciences Montpellier, University of Montpellier. • Claude Pasquier, I3S Laboratory, University of Nice.


  • 1http://www.geoinformations.developpement-durable.gouv.fr/geostandard-reseaux-d-adduction-d-eau- drinking-and-d-a3674.html 2https://inspire.ec.europa.eu/Themes/136/2892 3http://webmedo.msem.univ-montp2.fr/


  • 5 Progress of the thesis The student will be enrolled in the STIC doctoral school of the Universit ́e Cˆote d’Azur or in the doctoral school GAIA from the University of Montpellier, depending on their profile.


  • It will be hosted at the UMR HydroSciences Montpellier with regular stays at the University of Nice/I3S. The thesis will begin in September 2022. 6 Application procedures


  • Applications should be sent by e-mail, before July 15, 2022, to na- [email protected] and [email protected]. They must include the


  • following documents: • a letter of motivation, indicating your scientific background and your research interests, • a detailed CV, • a letter of recommendation


Postdoc offer at brgm: Interpretation of geophysical data by deep learning



  • The BRGM is looking for a postdoc for 15 months as part of a project to develop a methodology to automatically identify and estimate the depth of the bedrock, and more broadly to identify the presence and geometry of the main interfaces present in the subsoil from airborne electromagnetic data. This project is part of the developments necessary for the large-scale estimation of the seismic risk of the island of Mayotte.


  • The position is located in Orléans, in a project team made up of geologists and geophysicists, and is scheduled to take effect in the fall.


  • More information and applications here: https://brgm-recrute.talent-soft.com/offre-de-emploi/-post-doc-researcher-e-interpretation-of-geophysical-data-h-f_2048. aspx.


Research engineer study and development of workflows, from the integration of sensors to the exploitation of data



  • La Rochelle University is recruiting within the Littoral Environment and Societies Laboratory (LIENSs) UMRi 7266


  • ● Description of the employer La Rochelle University is a multidisciplinary university which welcomes more than 8600 students each year. It has 894 staff (including 466 teachers, teacher-researchers and teacher-researchers and 428 BIATSS personnel).


  • It is organized into 4 training or training and research components, including an IUT, 1 doctoral school and 10 research units, including 3 UMR (Joint University/CNRS Research Units) and 1 UMS (Joint University on duty).


  • The University's annual budget is €90 million. The accounts of the University are certified without reservation or noticed for several years. The built surfaces of the establishment represent 93,300 m².


  • ● Description of the component The recruited engineer will be assigned to the LUDI Institute (Sustainable and Intelligent Urban Littoral) which is the component of La Rochelle University, which brings together research laboratories and university masters around a dynamic scientific joint on the smart sustainable urban coastline.


  • The work will be carried out within the LIENSs laboratory (Littoral Environment and Societies), in conjunction with other LUDI laboratories. The LIENSs laboratory is a Mixed Unit of Interdisciplinary research under the dual supervision of the CNRS and La Rochelle University which is interested in understanding of the coastal system as a whole, as well as its uses and the development of its resources (https://lienss.univ-larochelle.fr).


  • ● Background La Rochelle University launches the creation of the Urban Coastal Lab, an interdisciplinary project which aims to collect, manage, disseminate and enhance data on the coast at the scale of the territory with the long-term objective of contributing to decision support for intelligent and sustainable management of our environment.


  • The LIENSs laboratory is participating in this effort by developing a connected observatory of the coastal zone for monitoring environmental changes. The project must promote the acquisition of data, particularly at sea in the Pertuis Charentais, using a marine drone and an anchored buoy transmitting its data in real time to land.


  • ● Description of the function We are recruiting a computer science research engineer specializing in platform development digital for the management and exploitation of data. Under the responsibility of the project manager, the recruited person will be in charge of developing the necessary IT tools to ensure the link between the acquired data and the database interdisciplinary data.


  • She/he will also be involved in the observation component in support of the development of marine instrumentation projects. (sensors, in situ probes), from the acquisition to the transmission of the high-frequency measurements collected. She/he will participate occasionally to boarding at sea and/or marine drone activities.


  • Duties: ● Development and/or integration of a datalogger in the Pertuis buoy; ● Design, manage and administer the environmental sensor data acquisition chain, ensure accessibility, consistency, quality, interoperability and security.


  • Main activities : ● Take charge of all or part of the project management activity (estimate, plan, monitor); ● Developed and tested objects and components; ● Develop the test strategy, design, specify and execute functional and/or technical tests;


  • ● Implemented database acquisition and management software, ensured its adaptation, administration and maintenance; ● Participate in the administration of the information system in terms of repositories, rules, approaches, methodologies and tools;


  • ● Model, design and/or configure all or part of the database and software solution; ● Created and tested application packages and deployment scripts in production; ● Documenting and making available the packages by ensuring version tracking (Git);


  • ● Guarantee the availability and quality of data by maintaining and improving performance (tuning) and functionalities (automation, optimization of processing and queries, settings); ● Provide functional and/or technical assistance to operators and users; ● Manage access authorizations as well as data security issues; ● Define and implement production and intervention procedures; ● Plan the production; ● Ensuring technology watch.


  • Knowledge : ● Project management methodology (in-depth knowledge); ● Software engineering (in-depth knowledge); ● Mode methods education and development (in-depth knowledge); ● Architecture and technical environment of the information system (in-depth knowledge); ● Analysis and design methods;


  • ● Release methods; ● Communication protocols; ● Test methodology; ● Framework; ● Programming language (e.g. Python, PLpgSQL, Shell, Arduino, Javascript, Nodejs); ● Security of information and communication systems; ● Technical English.


  • Operational skills: ● Manage a project; ● Apply the techniques of the field; ● Carry out a needs analysis, explain them and prioritize them; ● Administer a database system (mastery); ● Anticipating functional and technical developments;


  • ● Develop and implement a test plan (control); ● Apply standards, procedures and rules; ● Write and update functional and technical documentation; ● Working in a team; ● Animate a meeting.


  • Behavioral skills: ● Sense of organization; ● Rigor / Reliability; ● Ability to conceptualize.


  • ● Specific details relating to the position Salary: €2,647 gross/month (i.e. €2,125 net/month before withholding tax) Desired field of training: computer science, Bac+5 Master/engineer Particular attraction for the collection of environmental data Some trips to plan 1 year CDD, potentially renewable for 1 year


  • ● Contact for information on the position to be filled THE FOUEST Vincent Function: Teacher-Researcher Email: [email protected]


  • ● Contact for information on the recruitment procedure Ms. Christelle Henry, BIATSS Recruitment Assistant Relations and Human Resources Department Employment, recruitment, training, skills service Tel: 05.16.49.67.85 / email: [email protected]


  • ● Applications Each candidate must compile a file including: ● A cover letter;


  • ● A detailed curriculum vitae; ● A copy of the diploma corresponding to the requested profile. Deadline for applications: on the go Hearing of the selected candidates: over the water Starting date: September or October 2022


PhD. position in Computer Science - Nantes Université



  • Surgical Process Modelling with Graphical Event Models and Ontologies


  • Supervisors : * Philippe Leray, LS2N, Nantes Université * Thomas Guyet, INRIA, Centre de Lyon * Pierre Jannin, LTSI, INSERM, Université Rennes 1


  • More details : https://uncloud.univ-nantes.fr/index.php/s/yffCR7p4G49T94s


  • Keywords : Artificial Intelligence, Probabilistic Graphical Event Model, Ontology, Machine Learning, Surgical Process Modelling.


  • Context DUKe (Data User Knowledge) research group at LS2N, UMR CNRS 6004, is one of the laboratory's main teams in "Data and Decision Science" field, with its skills in data manipulation, data mining and interaction. Within this framework, the research group has, among other things, developed numerous algorithms for learning and manipulating probabilistic graphical models (Bayesian networks, dynamic Bayesian networks, relational Bayesian networks, graphical event models) gathered within the PILGRIM C++ software library.


  • This PhD thesis is part of the SPARS project (Sequential Pattern Analysis in Robotic Surgery: Understanding Surgery), funded by Labex CominLabs, in collaboration with LTSI/INSERM/Université Rennes 1 and INRIA.


  • The objective of this project is to propose data analysis methods to better understand complex technical human activities, such as surgery. Surgery is a complex activity, that depends on many factors, including the patient and surgeon characteristics. Such complexity and variability explain why there is almost no detailed study of the surgical practice yet.


  • Until now, the surgical procedure performed in the operating room is considered as a whole, as a black-box and is technically described with few words. Analysis usually consisted in comparing impact of different surgical approaches or of different pre-operative clinical patient’s parameters on post-operative outcomes. In the SPARS project, we will rely on a combination of data and model-driven approaches to analyze and compare kinematics of whole surgical procedures acquired during robotic assisted hysterectomies.


  • Funding: The PhD fellowship is funded for 3 years from september-October 2022.


  • Profile of the candidate: The candidate should have a master's degree in computer science or equivalent, as well as knowledge of machine learning, probabilistic graphical models and knowledge representation. Good skills in machine learning is mandatory. Some knowledge in knowledge representation will be a plus.


  • The programming environment associated with this project also requires some knowledge of C++ programming language.


  • The personal qualities expected are mainly autonomy and a taste for interdisciplinary work, rigour and abstraction, as well as writing skills (in French and English).


  • Application instructions: The application file should contain the following documents: * a curriculum vitæ (CV); * the official academic transcripts of all the candidate’s higher education degrees (BSc, License, MSc, Master’s degree, Engineer degree, etc.).


  • If the candidate is currently finishing a Master’s degree, s/he must send the transcript of the grades obtained so far, with the rank among her/his peers, and the list of classes taken during the last year; * some recommendation letters (quality is more important than quantity, there); * and a motivation letter written specifically for this position.


  • Send all of these documents by email to [email protected], [email protected] and [email protected]


Research Engineer / Post doc



  • THE LABORATORY: Predictops Lab is a laboratory dedicated to artificial intelligence. It is a joint laboratory (LabCom) between an Artificial Intelligence team from the University of Bourgogne Franche-Comté and sad Marketing, a specialist in spatial predictive analysis.


  • Predictops Lab's research topics aim to help emergency preparedness and health address the important issues they face.


  • Here are the areas of data science covered by the laboratory: Predictive analytics, Image processing, Automatic processing of natural languages, Optimization algorithms.


  • Missions : - Work on prediction algorithms for the various firefighters' interventions: fire, flood, personal rescue.


  • - Identify the relevant explanatory variables by type of intervention. - Set up continuous data recovery flows.


  • The technical environment: - python - AI: pandas, scikit-learn, keras


  • Profile: Research Engineer or Postdoc 3 to 6 years of experience desired


  • Duration: 6 months to 1 year Start date: as soon as possible


  • contact : [email protected]


The Faculty of Computer Science of the Free University of Bozen-Bolzano (unibz) offers 21 three-year grants for its PhD programme.



  • The KRDB Research Centre for Knowledge and Data of the faculty is looking specifically for candidates suitable for a PhD project titled:


  • “Strategy and Explainability for Knowledge Bases”.


  • Description: This research project is about advancing the reasoning with conflicting knowledge, both in the strong sense of inconsistency, and in weaker varieties that involve conceptual clashes, empty concepts, or over-commitments. It focuses on bringing together three recent strands of research, namely 1) methods to weight information, 2) methods to weaken axioms, and 3) methods to negotiate or play games with information.


  • The general application area is knowledge engineering, in particular providing solutions to the problem of resolving inconsistent information when an agent adds new knowledge to a knowledge base. But additionally, this entails the problem of explaining why a certain combination of knowledge is inconsistent, and it requires to explain or justify the proposed changes.


  • Weighted logic focuses on the idea that different pieces of information have different value, or weight, reflecting a very natural idea from common sense reasoning. Axiom weakening allows for a fine-grained repair of inconsistent knowledge bases. Its main advantage is that it repairs them by making axioms less restrictive rather than by deleting them.


  • Typical research questions are: - Strategic reasoning: How can the techniques from multiagent systems and game theory be applied to problems of collaborative ontology engineering and to concept combination? E.g., how can different agents agree on the weight of a particular piece of information?


  • - Explainability: How can we best combine the ideas of weighted logic, where different pieces of information have different weight, and refinement, where we specialize or generalize our information? How can we explain and justify the weakening of information?


  • Required skills: In general, applicants for this project are expected to have some good acquaintance with classical logic and its syntax and semantics. More advanced knowledge of proof methods, meta-theory, and non-classical logic will be a plus.


  • The ideal candidate will already have some background in agents or game theory as well as KR languages such as description logics. Programming skills: experience with programming would be valuable, particularly for the purpose of carrying out evaluation studies and improving research prototypes.


  • About the grant: Each grant amounts to 51,000 € (i.e., 17,000 euro per year, net after taxes); for research visits abroad, the grant increases up to 50%. Additional substantial extra funding (including a personal budget of 2,500 euro per year) is available for participation in international conferences, schools, workshops, research visits.


  • Applications: The deadline for applications will be on the 1st of July 2022.


  • For more information, the call, and applications look at: www.unibz.it/en/faculties/computer-science/phd-computer-science


  • About Bolzano and unibz: The university is located in one of the most fascinating European regions, the tri-lingual South Tyrol. This young university has already established itself as an important research institution, both in Italy and abroad, and is accordingly highly evaluated in several international rankings.


  • The KRDB Research Centre for Knowledge and Data of the faculty of Computer Science is widely recognised as one of the internationally leading groups in Artificial Intelligence and Knowledge Representation research, with a synergy between foundational and application-oriented research.


  • The city of Bozen-Bolzano, the capital of South Tyrol, has exceptional standards of living, and is a beautiful Italian city of mixed Austrian-Italian cultural heritage, and perfectly located in the Dolomites mountains, a UNESCO world heritage site.


  • Contact: Oliver Kutz [email protected] and Nicolas Troquard [email protected]