• Hello, We are looking for a linguist for our Innovation department experienced, able to carry out a corpus analysis on a set of pharmaceutical documents, for a period of 6 months.


  • The details of the mission are available here:


  • https://www.welcometothejungle.com/fr/companies/yseop/jobs/linguiste-informaticien-ne-poste-base-a-paris_paris


  • * Dominique Mariko * https://yseop.com


  • https://www.linkedin.com/company/yseop/


  • https://www.facebook.com/YseopAI




  • UCLouvain invites applications for 6 tenure-track full-time academic positions attached to the Louvain School of Engineering and to the Institute of Information and Communication Technologies, Electronics and Applied Mathematics


  • - An academic position in Computer Science


  • - An academic position in Computer Science applied to Medical Sciences


  • - An academic position in Applied Mathematics for Artificial Intelligence


  • - An academic position in Critical Embedded Systems


  • - An academic position in Automation and Process Control


  • - An academic position in Digital Electronic Architectures


  • Further information available here https://uclouvain.be/en/research-institutes/icteam/vacancies.html


  • Prof. Pierre Dupont Machine Learning Group ICTEAM Institute - INGI Dept. Phone: +32-10-479114


  • Louvain School of Engineering Fax: +32-10-450345


  • 2, Place Sainte-Barbe. Box L5.02.01 Email: [email protected] B-1348 Louvain-la-Neuve (Belgium) http://www.info.ucl.ac.be/~pdupont/




  • As part of the Écopoétique project (around twenty researchers coordinated by Prof. Xavier Garnier, Sorbonne-Nouvelle), we looking for a Word Press developer to create a website presenting an anthology of artistic creations (literary, musical, live shows, ...) in Africa, depending on the issues ecological.


  • This development experience will be appreciated for complete a Digital Humanities profile.


  • Here is the link of the announcement, as well as the application procedures (by email to: [email protected] ):


  • https://filesender.renater.fr/?s=download&token;b341b2-121a-441a-9af5-3328eac30d98


  • Regards, Amal Guha




  • Hello everyone, For one of my clients, I am looking for a young doctor in data science and NLP. It is a job creation following the opening of a internal data lab.


  • Under the direction of the innovation director, doctor in mathematics, you will work on two first projects:


  • - Detection of ransomware with machine methods and deep learning.


  • - The development of a matching or recommendation system (CV and announcements and / or calls for tenders) via NLP methods, NLU and ML, DL.


  • -> For the rest, it will be up to you to propose new axes of research related to business issues.


  • To discover the rest of the announcement and apply, simply submit your CV (academic format welcome and cover letter not required):


  • https://sciencemeup.teamtailor.com/fr/jobs/1364609-docteur-e-en-data-science-machine-et-deep-learning-nlp


  • I am available for any questions,


  • Good day, Tania Ocana, Ph.D. * Expert recruitment 🚀 Science me Up *


  • * Industrial & Organizational Psychologist *


  • Science me Up is a scientific recruitment agency for profiles executive, of the young graduate, PhD doctor, R&D engineer in positions of direction.


  • https://twitter.com/OcanaTania


  • https://www.linkedin.com/in/ocanatania + * 33 (0 **) 6.98.53.81.68 *




  • Context = Work on data in French L2 of the ESF project corpus (/ EuropeanScienceFoundationSecondLanguage /) on the acquisition of a second language by migrants (Perdue, 1993).


  • The longitudinal corpus consists of audio recordings from different tasks discursive (conversations, stories, descriptions, role plays, etc.) carried out by learners from different sources and targets with native French speakers.


  • A large part of the ESF corpus is available in the Talkbank database (B. MacWhinney), where the data French are missing.


  • Data volume includes 27 sessions containing 5 files audio for each of the Arabic speakers and 20 sessions containing 2 audio files for Spanish speakers, i.e. 525 files audio of different sizes, depending on the tasks performed.


  • = Missions = 1) - Alignment of existing transcriptions on the sound (manual or semi-automatic) (CHAT format)


  • 2) - Verification and correction of existing transcriptions in French


  • == Skills == - Native French


  • - Linguistics / Language sciences


  • - CLAN tool (https://dali.talkbank.org/clan )


  • = Other information = - Status: service provider only (companies, self-employed)


  • - Availability: as soon as possible


  • - Contact: Sarra El Ayari - [email protected]




  • The offer in detail: http://www.univ-lemans.fr/_resource/Universite/S_engager_a_nos_cotes/Recrutement/ATER-CTER/27CTER0532.pdf


  • = INFORMATION = Recruitment open: * until October 16, 2021 before 4 p.m. *


  • Quotity: 100%


  • Contract duration: from 12/01/2021 to 08/31/2022


  • CNU section: 27


  • = Research = Laboratory URL:http://www-lium.univ-lemans.fr


  • Contact person (s) (Name, function, phone, email):


  • Sébastien George, director of the laboratory, 02 43 59 49 16, [email protected]


  • ** Two team: ** 1.one of fourteen ECs specializing in environments IT for human learning (EIAH Engineering), directed by Sébastien Iksal;


  • 2.one of EC specialized in speech recognition, translation automatic (Language and Speech Technology - LST) and text mining, directed by Sylvain Meignier


  • = Teaching = At the IUT of Le Mans: Office (spreadsheet), Database management system data, Information system, Business intelligence, supervision projects and internship follow-ups.


  • Contacts for the teaching profile (Name, function, phone, email): Xavier PALLARD, head of department, 0615882258, [email protected]


  • Nicolas DUGUÉ, lecturer in computer science, [email protected]




  • As part of the MultimEdia Entity Representation research project and Question Answering Tasks (ANR 2020-2024), a postdoctoral position is offered for candidates interested in multimedia comprehension and natural language processing.


  • The main task of the post-doc will be to inject knowledge in a multimedia entity representation (image and text) for address the answer to multimedia questions.


  • See the following link for More details :


  • https://www.meerqat.fr/wp-content/uploads/2021/09/meerqat_postdoc_cea_lisn.pdf


  • The post-doc will be supervised by CEA and LISN.


  • The candidate will be hired by the CEA (Palaiseau, near Paris, France) for a post-doc 18 months.


  • The LISN is located near the CEA on the campus of Paris-Saclay University.


  • To apply for this position, send a CV (including the list of publications or a URL that refers to them, such as Google Scholar) and a cover letter to Hervé Le Borgne [email protected] , Olivier Ferret [email protected] , Sahar Ghannay [email protected] and Anne Vilnat [email protected] .


  • You can write to [email protected] for any details.




  • Hello You will find in PJ a subject of CIFRE thesis (Lab. LCOMS Metz and the company UX-KEY) .


  • Provisional title : "Principles, benefits and limitations of a self-adaptive human-machine interface prototype intended to improve the UX performance of a website in a production environment: Preliminary studies in the specific case of accessibility Senior's Web "


  • Your application should be sent by email to " [email protected] ", accompanied by a CV, for an interview with the UX-KEY teams and the partner university laboratory (s) ( s).


  • Regards Teacher. Faouzi MOUSSA




  • URGENT ! As part of a joint team between the company Nobatek (Anglet / Bordeaux) and the University of Pau, we are recruiting in Anglet an R&D Engineer in the field of Human Machine Interfaces (F / M) on a 12-month contract .


  • This offer is aimed primarily at PhDs (F / M) in computer science, the employer will be the company Nobatek, the Research supervision carried by the computer laboratory (Anglet site).


  • NOBATEK / INEF4 is a private technological research center, institute for energy transition in the sector of sustainable development, rehabilitation and construction.


  • Its mission is to co-develop innovative solutions to support the entire building sector (architects, manufacturers, public and private contractors, developers, design offices and communities) towards the energy and environmental transition.


  • The recruited engineer will contribute to the development of a remotely accessible version of the IMMERSITE® product (the product being currently usable only during face-to-face meetings).


  • The IUT of Bayonne and the LIUPPA provide technical solutions (workstation virtualization / middleware) on which the engineer will rely to develop the expected services and functionalities. Its main missions will consist of:


  • - Carry out technological and competitive intelligence work on the means of making IMMERSITE® content accessible on other media than that currently used.


  • -Support the technical teams of the IUT and NOBATEK / INEF4 in charge of developing a technical solution, participating in scale tests and performance measurement.


  • - Design a human-machine interface prototype of a version of IMMERSITE® which would offer interaction capabilities for face-to-face and remote users.


  • - Extend the already existing middleware (UPPA contribution) so as to have at the scale of this middleware a shared representation of the state of interface elements representative of a context-sensitive interactive application.


  • To be able to manipulate the objects representative of the IMMERSITE® solution at the middleware scale in order to change their state according to the actions carried out at the level of the user interface of the application.


  • - Use this middleware to develop and test a new version of the IMMERSITE® application that can be operated remotely.


  • - Act as a referent with the teams throughout the experimentation phase (see the process going from data collection in the field to the use of this data by IMMERSITE®).


  • The job offer is available on the APEC website: https: //www.apec.fr/candidat/recherche-emploi.html/emploi/detail-offre/1 .... Recruitment is done on the fly, if you are interested, it is urgent to respond to the APEC offer.


  • For any questions, you can also contact T. Nodenot ( [email protected] - Laboratoire LIUPPA, IUT de Bayonne).




  • Postion At the Faculty of Economics and Business (FEB) ( KU Leuven), we have a vacancy for a full-time academic position in the Research Centre for Information Systems Engineering (LIRIS), Brussels Campus.


  • In particular, we look for a candidate with a research profile that relates to domains such as digital strategy, digital innovation and transformation, business value of ICT, ICT service management, ICT governance as well as the topics taught on campus Brussels listed hereafter.


  • Current open teaching assignments are situated in the domains of ICT Governance, ICT Management, Software Management or ICT Service Management.


  • Other relevant teaching subjects on Campus Brussels are Systems Development and -Economics, Business Process Management and Information Systems Design, and ICT Strategy and Architecture.


  • Why should you apply? * Join the nr. 70 ranked university in the world according to QS


  • * Develop your research agenda fully independently


  • * Obtain a guaranteed starting grant to kickstart your team


  • * Work and live in Brussels, the Capital of Europe


  • * Get relocation support for you and your family


  • Profile You publish in international top journals, attract external research funding, develop research projects, and advise doctoral students. You will teach courses in the field of Business Information Systems at the campus in Brussels and Leuven.


  • The vacancy is open to junior researchers, though senior candidates may be considered as well. PhD students in the final phase of their studies may also apply.


  • The successful candidate will be hired in the rank of Assistant Professor, Associate Professor or (Full) Professor depending on your qualifications and academic experience.


  • Junior researchers will be appointed as assistant professor in tenure track for a period of 5 years, which in case of a positive evaluation is followed by an appointment as a tenured associate professor.


  • Contact For more information please contact prof. dr. Stephan Poelmans, chair of the search committee, Faculty of Economics and Business, [email protected]


  • You can apply for this job no later than 1 Nov. 2021 via the online application tool: http://www.kuleuven.be/eapplyingforjobs/60027740


  • For more information, please visit https://www.kuleuven.be/personeel/jobsite/jobs/60027740?hl=en&lang=en




  • Post-doctoral position: Deep Learning for opinion mining in human testimonials related to industrial accident


  • The Machine Learning team at the LITIS laboratory, the computer science laboratory of the University of Rouen Normandy, is looking for a post-doctoral researcher on a 18-months contract, starting as soon as possible.


  • The position will be financed by the ANR research project CATCH (french acronym for "Automatic Understanding of Human Sensors Testimonials"), which involves the R&D center of the company Saagie, specialized in B2B DataOps solutions, Atmo Normandie, one of the approved French air quality monitoring associations and LITIS.


  • Location : LITIS lab., University of Rouen Normandy, Rouen, France


  • Duration : 18-months, starting as soon as possible


  • Salary : ~2300€ / month (before income tax), including social security coverage in line with French regulations


  • Applications : open from 01/09/2021 to 31/12/2021


  • Keywords: Deep learning – Natural Langage Processing – Sentiment Analysis / Opinion Mining


  • Scientific context: The ambition of the CATCH project is to propose artificial intelligence and deep learning tools to take into account and automatically exploit the multitude of human testimonies related to an industrial accident and its consequences on the environment and health. By involving the population in the collection and analysis of data, particularly through social networks, and by providing effective means for interpreting this data, the proposed solution should contribute to providing answers to the worrying problem of industrial accidents and their consequences.


  • The overall objective is first to draw up a precise cartography of the nuisances in order to follow the propagation and the evolution of the phenomena in time, and then to analyze and characterize the sentiment of the population and its evolution throughout the crisis.


  • To do so, we intend to exploit testimonials collected on the ODO platform of Atmo Normandie, which combines these testimonies with geographical information, in conjonction with data extracted from the micro-blogging platform Twitter.


  • Since these data are primarily texts, state-of-the-art approaches from the Natural Language Processing (NLP) field are favored, in particular, self-supervised deep learning methods such as Transformers that are known to be the most performant today for a wide range of NLP tasks.


  • Research goals: The objective of this research work is twofold:


  • 1. The automatic generation of a map of nuisances around the site of an industrial incident to monitor the propagation and the evolution of the phenomena over time.


  • 2. The automatic recognition of the population's perception and its evolution throughout the crisis.


  • Related to these tasks, the post-doctoral researcher will be in charge of proposing solution for:


  • • extracting and linking twitter data with testimonials from the ODO dataset, which is fully labelled and associates textual testimonies with geographical data. The interest in establishing this link is to be able to enrich the data from the ODO platform to refine the mapping of nuisances in real time. This could be achieved for example, by using pseudo-labelling techniques1 or Constrative Representation Learning methods which have recently been applied to text data2.


  • • detecting in all the testimonials collected from Twitter or from the ODO platform, the presence (or absence) of several pre-identified emotions (e.g. surprise, fear, anger, sadness, disgust, etc.), several of which can be expressed at the same time.


  • This research work will therefore involve being familiar with the state-of-the-art NLP deep learning methods and in particular with their applications to sentiment analysis and opinion mining tasks. It will also require experience with the use and exploitation of data from Twitter in a data science context.


  • Application: The successful applicant will: • possess or be in the process of obtaining a Ph.D. in computer science or applied mathematics, with a focus on machine learning or data mining.


  • • have strong programming skills (Java, Python, etc.) and in-depth understanding of statistics and machine learning.


  • • have already worked with deep learning architecture dedicated to texts (RNNs, Transformers, etc.) and/or images (CNNs, FCNs, GANs).


  • • have a productive publication record.


  • Your application should include: • curriculum vitae


  • • statement of past research accomplishments, career goal and how this position will help you achieve your goals


  • • two representative publications


  • • contact information for at least two references


  • Contact Application must be sent to : • Simon BERNARD, University of Rouen Normandy, [email protected]


  • • Clément CHATELAIN, INSA Rouen Normandy, [email protected]


  • • Alexandre PAUCHET, INSA Rouen Normandy, [email protected]


  • Best regards -- Simon Bernard LITIS / NormaSTIC FR CNRS 3638


  • Université de Rouen Normandie, France http://pagesperso.litislab.fr/sbernard/




  • Dear colleagues, I appreciate spreading the word about this position. Thanks.


  • Post-doc position in Explainable Artificial Intelligence, University of Luxembourg


  • Funded by the Fonds National de la Recherche Luxembourg in the framework of CHIST-ERA multi-lateral research program, the AI Robolab (a social robot lab at the computer science department of the university of Luxembourg) hires a post-doc researcher in the EXPECTATION (CHIST-ERA) project. The project involves partners from Switzerland, Turkey, Italy, and Luxembourg, and is mainly interested in developing novel XAI mechanisms.


  • Explainable AI (XAI) has recently emerged proposing a set of techniques attempting to explain machine learning (ML) models. The recipients (explainee) are intended to be humans or other intelligent virtual entities. Transparency, trust, and debuging are the underlying features calling for XAI.


  • However, in real-world settings, systems are distributed, data are heterogeneous, the system knowledge is bounded, and privacy concerns are subject to variable constraints. Current XAI approaches cannot cope with such requirements. One aim of this project is to address this limitation.


  • Your Role • Conducting high-quality research within the EXPECTATION project


  • • Presentation of research findings at workshops and conferences


  • • Publication of scientific papers in peer-reviewed international journals


  • • Collaborate strongly with all consortium partners


  • • Write project proposals to attract funding


  • • Participate actively in joint EXPECTATION activities


  • • Teach at the university of Luxembourg


  • Your Profile • A PhD degree in Artificial intelligence


  • • Dedication to actively participate in the interdisciplinary activities of the AI Robolab.


  • • Evidence of high quality continuing research including a demonstrated track record in quality publications


  • • Ability to attract research funding both on the national and European levels.


  • • Solid background in multi-agent systems, machine learning and robot programming


  • • Interest in HCI and interdisciplinary research


  • • Strong analytical capacity, creativity, and commitment


  • • Very good written and spoken English skills; proficiency in French or German is a plus


  • Our Offer • A dynamic, well-connected international research environment


  • • An exceptional opportunity to be part of an innovative academia-industry partnership with access to cutting edge research facilities


  • • Financial support for participating in scientific activities (workshops, conferences, summer schools, etc.)


  • • An attractive salary and employment contract including social insurance


  • • The University of Luxembourg is an equal opportunity employer and applications by women are encouraged


  • Application Documents (in English): • Curriculum Vitae


  • • Motivation letter detailing why how your profile, experience and research projects fit with the position


  • • A brief research proposal, stating how you intend to advance the state-of-the-art in the research topic


  • • Contact information of two references (we might contact them)


  • • List of publications


  • In Short: • Contract type: fixed-term 24 months


  • • Work hours: full time 40.0 hours per week


  • • Location: MNO, Belval, Esch sur Alzette, Luxembourg


  • For further information concerning this position, please contact Dr. Amro Najjar ([email protected]) or Prof. Leon van der Torre ([email protected]).


  • Link to call: https://icr.uni.lu/vacancies.php?fbclid=IwAR1MuCdJeXNCRej0LK6e6EyBSzGgtqlctrt22t04w32Q1K0dA7eOEhXklao