(Last call) AI - PhD position in Paris-Saclay: Collaborative multiparadigm classification of temporal series of remote sensing images



  • The ICube laboratory (University of Strasbourg), in collaboration with the MIA laboratory (AgroParisTech), offers a contract for a thesis in October 2021


  • Title: Multiparadigm collaborative classification of remote sensing image time series


  • The aim of this thesis is to study the concepts involved in defining multi-paradigm collaborative learning methods for temporal data in which supervised and unsupervised learning agents collaborate to mutually improve their performance and ultimately to reach a consensual interpretation of these data.


  • This thesis is part of the HERELLES projectc supported by the ANR


  • Send an email to [email protected] and [email protected] with the following attachment:


  • a cover letter explaining your qualifications, experience and motivations;


  • a curriculum vitae


  • all the information about your university course: course of study, diplomas obtained, transcripts and your ranking for each year of your Master's degree or equivalent for engineering schools;


  • and, if possible, the contact details of people (teachers or others) who can provide information on your skills, motivation and work.


  • The deadline for submission of applications to the Doctoral School is May 22th, so it is imperative that applicants contact us before May 12ve.


  • Title Multiparadigm interactive collaborative learning for heterogeneous remote sensing time series analysis


  • Laboratories Mathématiques et Informatique Appliquées - UMR 518 AgroParisTech,


  • INRAE, Université Paris-Saclay Laboratoire ICube, UMR CNRS 7357, Université de Strasbourg,


  • Academic supervisors Cornuéjols Antoine – 06 31 65 25 66 - [email protected]


  • Gançarski Pierre – 06 87 44 58 50 - [email protected]


  • Funding ANR Herelles (Doctoral contract)


  • Profile of applicant Master's Degree in Computer Science.


  • The candidate must have good skills in data analysis and more particularly in supervised or unsupervised classification of time series. Skills in remote sensing image analysis is required. Good knowledge of English (French is not mandatory)


Job : Postdoc (1 an), Universite Lyon 2



  • Hello to everyone, We are looking to recruit a post-doctoral fellow in machine learning to work on textual data organized in a network.


  • This would be for a period of one year with a start as soon as possible. You find the detailed offer below.


  • Do not hesitate to forward the offer to people likely to be interested around you.


  • Best regards, - Julien velcin Computer science teacher L3 IDS Manager Coordinator of the HuNIS cluster


  • University of Lyon, Lyon 2, ERIC UR 3083 http://eric.univ-lyon2.fr/~jvelcin


  • Job offer: Post-doctoral fellow in Machine learning


  • Starting date: as soon as possible (ideally early October)


  • Contract duration: up to 12 months


  • Place of work: ERIC laboratory (University of Lyon 2, campus of Bron)


  • Working conditions: face-to-face at the ERIC laboratory (if the situation sanitary permits). Stays of a few days each are planned on the EDF R&D site in the Paris region (costs covered).


  • Context : This contract constitutes the central element of the POIVRE project, financed by the IRSDI program of the Jacques Hadamard Foundation ( https://www.fondation-hadamard.fr/ ).


  • The project involves researchers of the ERIC laboratory and EDF R&D. Members of the ERIC laboratory, in collaboration with their partners, have been working years on the processing of textual data [1-3] and on machine learning of representations adapted to networks of documents [4-7].


  • Topic : The POIVRE project aims to build new solutions for analyze the points of view, solutions that will be applied to the analysis debates on Twitter about nuclear in the countryside French presidential election.


  • Indeed, this exchange platform is a heterogeneous information network that allows individuals to communicate by posting messages (textual information) via different mechanisms (following relationship or being followed, forwarding the message by ReTweet, like or mention).


  • However, this type of network is a place privileged exchange of points of view where phenomena of dissemination of information, partisan groups, influence.


  • The objective of the post-doctoral fellow is to design new methods to analyze points of view as they are frozen in a network heterogeneous information like Twitter.


  • For this, the main idea consists of using deep learning approaches such as Graph Neural Networks (GNN) by adapting them to different characteristics related to the question from the point of view.


  • Indeed, this can depend on the position of the node in the graph but also different elements (e.g. arguments) developed in the textual content of the messages. The methods developed must can be used to identify communities at points of similar view.


  • The methods developed in this work will in particular be tested on a dataset from Twitter, collected during the campaign presidential election which begins in France.


  • This dataset will relate in particularly on the debates generated by energy issues (nuclear, renewable energies).


  • In addition to the support of researchers in Computer Science with experience in machine learning and analysis social networks, the post-doctoral fellow will be able to benefit from the expertise of sociologists specializing in the study of representations on the subject of energy.


  • Profile expected We are mainly looking for a doctor in machine learning with worked on network data (graphs). NLP experience would be a real plus, as well as an interest in collaborative work in close collaboration with the social sciences.


  • Framing At the ERIC laboratory, the post-doctoral student will be supervised by Julien Velcin ( http://eric.univ-lyon2.fr/~jvelcin/ ) and Adrien Guille (https://adrienguille.github.io ).


  • The work is in collaboration with Philippe Suignard and Mathieu Brugidou ( https://www.pacte-grenoble.fr/membres/mathieu-brugidou ) at EDF R&D.


  • Candidacy Please send your application to the following address: [email protected]


  • Your file must include: - CV


  • - cover letter


  • - letter of recommendation (optional)


Job : Postdoc (1 year), Simon Fraser University



  • Postdoctoral research position in computational linguistics at Simon Fraser University


  • Position title: Postdoctoral Research Fellow


  • Area: Computational Linguistics, Natural Language Processing, Big Data


  • Start date: September 2021 or as soon as possible after that


  • Duration: 1 year


  • Description: Applications are invited for a full-time postdoctoral research fellowship in computational linguistics at Simon Fraser University within the Discourse Processing Lab in the Department of Linguistics. Successful candidates will contribute to the Gender Gap Tracker, working under the supervision of Professor Maite Taboada.


  • The Gender Gap Tracker is the result of a partnership with Informed Opinions, an organization devoted to promoting diversity in Canadian public discourse.


  • The candidate should have a PhD in computational linguistics/natural language processing. Preference will be given to candidates who have experience with machine learning, big data techniques, and deployment of NLP systems. Familiarity with discourse phenomena and sentiment analysis will be an asset, as will be expertise with open-source tools for natural language processing and with project management.


  • Knowledge of French and French NLP tools is essential. The candidate will be in charge of deploying a French language version of the existing Gender Gap Tracker for English.


  • The term is for 1 year. Starting date September 2021, or as soon as possible thereafter. Salary will be approximately CAD $55,000 per year plus benefits, in addition to some support for conference travel. Employment is governed by SFU’s policies on postdoctoral fellows.


  • The Department of Linguistics at Simon Fraser University is home to about 17 faculty members in all areas of linguistics, with diverse theoretical and methodological perspectives. The postdoc will also work closely with members of SFU’s Big Data Initiative and the Research Computing Group at SFU.


  • The position can be filled by somebody willing to work remotely from anywhere in the world. The candidate, however, should be willing to accommodate for some meetings taking place at Pacific Time (UTC -8:00).


  • Applications should contain: (1) A cover letter


  • (2) A full CV


  • (3) A statement of research interests


  • (4) Two sample publications


  • (5) Names and e-mail addresses of three referees, who may be contacted to provide either informal references or formal letters of recommendation


  • Application materials should be e-mailed, preferably as a single pdf file with the applicant’s last name, to Professor Maite Taboada ([email protected]), with the subject line “Postdoc application”. Position open until filled; applications will be reviewed continuously.


Thesis offer: CIFRE, Research and information synthesis, IRIT / Berger-Levrault



  • Hello, We are looking for a candidate for a CIFRE thesis in computer science on the topic of Research and Synthesis of information.


  • The thesis will be carried out within the IRIS team (Information Retrieval and Information Synthesis) from the Computer Science Research Institute of Toulouse (IRIT) and the Berger-Levrault company (Labège, Toulouse).


  • the future doctoral student / the future doctoral student will be present for half of her time at Berger-Levrault and for the other half at IRIT.


  • Key terms: multi-document summary, information summary, machine learning, deep learning, embeddings lexicals, automatic watch, business areas.


  • context Expert in public service professions, Berger-Levrault is specialized in the realization of software for administrations local public authorities in the education, health, health, social and territorial management.


  • These software participate in the modernization of public action and the simplification of administrative processes by offering solutions digital services to civil servants and users of public services. At Berger-Levrault, many professionals are responsible for carry out different types of watch.


  • Their watch work can be horizontal and concerns regulations, competition, the market, innovation and / or technology. It can also be verticalized on different fields of application (human resources (HR), health, justice, civil status, accounting and finance, elections, town planning, education, etc.).


  • Despite their expertise, those responsible for monitoring experience an information overload: the verification and cross-referencing information is time consuming, the synthesis of information qualified as relevant requires a considerable effort, and the identification and qualification of new data sources are tedious.


  • Goals Berger-Levrault therefore wishes to investigate in more detail the field of search / synthesis of information and automatic monitoring in developing models and algorithms to generate automatically watch summaries for specialist subjects (HR, public accounting, health, justice, etc.) and for objectives pre-established (competition, market, regulatory, innovation, etc.).


  • This thesis targets, from a scientific point of view, the objectives main following:


  • - The discovery of sources of information and documentary granules relevant within these sources.


  • Some sources are good identified while others, depending on current events, are discover. In addition, beyond their general / global relevance, the documents actually group together documentary granules with different levels of interest, levels that must be identified.


  • - The classification of granules according to different facets such as the topic addressed, the subject / event concerned, the novelty, etc.


  • - The synthesis of information in different forms. This summary may be in the form of summaries structured multi-documents (aggregates), in the form of a timeline or why no summary tables.


  • Location and contact


  • Business : Berger-Levrault 64 Rue Jean Rostand, 31670 Labège https://www.berger-levrault.com/fr/bureaux/labege/


  • Framing Mokhtar Boumedyen BILLAMI (Doctor in Language Sciences) Christophe BORTOLASO (Doctor in Computer Science)


  • Laboratory: Toulouse Computer Science Research Institute (IRIT) Toulouse 3 Paul Sabatier University (UT3) 118 Route de Narbonne , F-31062 TOULOUSE CEDEX 9


  • Reception team: IRIS (Information Retrieval & Information Synthesis) http://www.irit.fr/IRIS-site/


  • Framing : Karen Pinel-Sauvagnat ( [email protected] ) HDR / Senior Lecturer


  • Gilles Hubert ( [email protected] ) HDR / Senior Lecturer


  • Required profile Master 2 level or computer engineering school


  • - Very good level of French, especially in writing (precision, clarity) and a good level of English (written and oral)


  • - Good programming skills (Python) and environment Linux working


  • - Knowledge in Information Search, Excavation and Data learning is a plus


  • The date of recruitment: as soon as possible.


  • Candidacy This must include the following elements:


  • - detailed CV,


  • - Cover letter,


  • - Transcripts from the BAC (with compulsory classification),


  • - contacts for recommendation.


  • How to apply


  • + The application should be sent by email as soon as possible to: - Gilles Hubert ( [email protected] )


  • - Karen Pinel-Sauvagnat ( [email protected] )


  • - Christophe Bortolaso ​​( [email protected] )


  • - Mokhtar Boumedyen Billami ( [email protected] )


  • + In addition, apply on the Berger-Levrault site.


  • The announcement is here: https://recrute.berger-levrault.com/offre-de-emploi/emploi-these-cifre-generation-automatique-d-aggregat-d-information-pour-l-automatisation-de-la-veille-h-f_1140.aspx


Internship: 3-6 months, Linguistic annotation, Kaisens Data



  • Linguistic annotation internship Internship offer : As part of the semantic analysis of textual content project, KAISENS DATA is recruiting 2 to 3 interns in Linguistics for a period of 3 to 6 months.


  • Missions: - Targeting and selection of textual corpora


  • - Data segmentation


  • - Semi-automatic data annotation (using tools internally developed based on Active Learning)


  • - Manual correction of annotations / Relearning of models


  • Languages ​​: - French - mother tongue compulsory


  • - Master at least 2 foreign languages


  • Required profile : - M1 or M2 level in linguistics, language science


  • - Good mastery automatically


  • - Ability to work in a multidisciplinary team (IT, linguistics)


  • - Good level in NLP


  • Experience : An internship in annotation or university project is a plus.


  • Further information : Type of contract: Internship


  • Place: Colombes (92700)


  • Advantages : - Benefit in kind restaurant tickets (9 euros per day)


  • + 50% transport costs


  • - Several career development possibilities


  • - Remuneration - legal minimum


  • To apply: Please send your CV and Cover Letter to Ms. Elena Sidorova ( [email protected] ).


Job: CDD (18 months), Engineer / Doctor ML / TAL, CEA List (Palaiseau)



  • * CDD CEA LIST *


  • * Supervised learning for automatic text classification *


  • *Topic *: Supervised learning for automatic text classification


  • * Type of position *: CDD 18 months


  • * Place of work *: CEA List Nano-Innov, Palaiseau (91)


  • Within the CEA List, the LASTI Laboratory (Laboratory Analysis Text and Image Semantics) works on content analysis multimedia. In the field of text analysis, we are looking for a CDD engineer or doctor to work on the classification automatic text.


  • The main mission of the candidate will be to develop a automatic text classification platform based on supervised learning algorithms.


  • He / she will participate in the design of this platform and will be in charge of developing it. In in particular, the candidate's tasks will consist of:


  • - take control of and improve the existing tools developed in within the laboratory;


  • - set up a platform in an application context industrial;


  • - carry out technological and scientific watch;


  • - integrate and / or develop new algorithms.


  • The candidate will be required to work on all aspects of the platform development: design, programming, packaging and deployment. In this context, familiarity with Linux and the tool Docker is an advantage. Moreover, the programming language main will be Python.


  • * Profile sought: * Bac + 5 or Doctorate level with knowledge in machine learning, deep learning and automatic language processing.


  • * Technical skills (informative list): * - Programming languages: Python, JavaScript, HTML / CSS


  • - Libraries and frameworks: scikit-learn, Pytorch, optuna, spaCy, FastAPI, ONNX, celery transformers. Knowledge of bookstores data manipulation and visualization is desired (pandas, seaborn, matplotlib)


  • - Devops: docker, docker-compose, slurm, git


  • - Databases: MongoDB, Redis, MariaDB


  • * Remuneration * according to training. Interested candidates must send an application email with a detailed CV and a cover letter (in PDF format) to following addresses: [email protected] and [email protected]


Job: CDI, Infolinguiste H / F, Dassault Systemes Paris



  • * Job: Infolinguist M / F in CDI, Dassault Systèmes Paris *


  • * Imagine tomorrow ... * You join Dassault Systèmes, and the team in charge of the software Proxem Studio as an infolinguist.


  • As part of each project, and under the supervision of a head of project, the infolinguist designs, develops, tests and maintains linguistic resources necessary for the successful completion of the project (quality, time and charge). He / she participates, with the project manager, in the development of certain deliverables (mainly plan of classification and platform configured for the project).


  • * Your missions: * - Participate in project framing meetings in order to take knowledge of the context and objectives of the project, of the data, the deliverables to be achieved and the schedule.


  • - Integrate customer data corpora within the platform, with the help of a third person if necessary.


  • - Carry out an exploratory study of the client corpus.


  • - Create and extend the linguistic resources necessary for successful completion of projects following the directives of the head of project.


  • - Prepare and participate in workshops with the client under the conduct of the project manager.


  • - Participate in the monitoring points set by the project manager, alert in case of deviation from the project plan.


  • - Ensure, throughout the project, the quality of resources linguistic by controlling its accuracy and coverage through evaluations and error searches.


  • - Ensure that the semantic analysis and the configuration of the platform for which the project manager has entrusted him with responsibility allow results to be used in accordance with needs and customer expectations


  • - Document the settings implemented throughout the project.


  • - Ensure the maintenance of the linguistic resources created and handled.


  • * Your assets for success: * - You hold a Bac +5 in linguistic engineering


  • - You already have a first experience in the field, internships and / or learning included


  • - You know the technical rules of the art and organizational in linguistic engineering (NLP, linguistics formal, formal languages ​​...)


  • - You are able to carry out corpus studies (exploration data, domain vocabulary understanding, frequency expressions, complexity of the analyzed language, etc.)


  • - You know how to set up semantic analyzes adapted to project needs


  • - You know the fundamental concepts of the evaluation of quality (precision, recall, etc.)


  • - You master linguistic and semantic analysis tools (and you will be trained at Proxem Studio)


  • - You are proficient in office software (text editor and spreadsheet)


  • * Soft Skills * You are recognized for your adaptability, your flexibility, and your ability to interact, whether orally or in writing. You have excellent analytical and synthesis skills, and do proof of creativity and sense of innovation. You value teamwork, and have a customer-oriented mindset.


  • * To apply *: follow the "Apply" link in the page https://careers.3ds.com/fr/jobs/infolinguiste-hf-521123


Job: Postdoc (8 months) in text mining at the University of Franche-Comte (Besancon)



  • Dear colleagues, The CRIT laboratory of the University of Franche-Comté (Besançon) offers an 8-month post-doctoral contract in NLP around the identification and processing of personal data in texts.


  • Please circulate this offer to potentially interested people.


  • Best regards, Iana Atanassova ***************************************


  • context Identifying personal data in texts is a step essential to meet the needs of businesses around data security, offuscation and governance issues.


  • The DecRIPT project ( http://tesniere.univ-fcomte.fr/projet-decript ) has the objectives of proposing a linguistic-semantic model for be able to automatically identify personal data in the natural language texts.


  • Mission The main mission of the post-doctoral student will be to participate in the development of a software library for data processing personal in texts.


  • The implementation will be based on a linguistic methodology (semantic meta-model) developed within of the DecRIPT project, to automate identification, annotation, disqualification and anonymization of personal data.


  • The post-doctoral fellow will contribute to:


  • - the IT implementation of the identification methodology, annotation and deletion of personal data;


  • - the development of APIs allowing integration into software businesses;


  • - enrichment of linguistic resources and models semantics as well as the development of interfaces for their efficient management;


  • - system evaluation on corpora of textual data from various sources.


  • Candidacy More details about the position are available on the project web page: http://tesniere.univ-fcomte.fr/projet-decript/#recrutement


  • For any information concerning the position, contact: Iana Atanassova ( [email protected] ) MdC HDR in Automatic Language Processing, responsible for the DecRIPT project


  • Sylviane Cardey ( [email protected] ) Professor Emeritus in Automatic Language Processing, co-leader of the DecRIPT project


  • Applications (CV with list of publications and letter of motivation) should be sent as soon as possible by e-mail.


Postdoc position in Artificial Intelligence-based Drug Design - Montpellier - LIRMM - 18 months



  • Postdoc position in Artificial Intelligence-based Drug Design Available Montpellier (autumn 2021), France, 18 months


  • Keywords Drug design, Machine learning, Artificial Intelligence


  • Overview and challenges The development of artificial intelligence (AI) is a revolution in many areas.


  • Its application in the design of new pharmaceutical products is still in its infancy but is in full development.


  • The main application of AI in the medical field has primarily been used in the processing of metadata generated during the clinical development of drug candidates. Biomolecule design assistance is more recent and there are several types of approaches.


  • The most common is: identifying favorable parameters in a list of active compounds and then trying to find them by screening commercial databases.


  • In this approach, new structures are not generated, only a repositioning strategy is used. The second more ambitious approach is to go through the generation of new structures.


  • To date, the number of examples in the literature is very limited. This strategy is based on the analysis of active compounds in the literature to extract the structural data necessary for the activity to allow the generation of new molecules.


  • The main pitfall of this approach is to take into account the biological activities which can be very variable according to the experimental conditions and which can lead to introducing erroneous data into the system.


  • In addition, the rare examples of this approach are not all validated by a biological model or lead to the generation of chemically questionable structures.


  • This multidisciplinary project aims to provide an alternative approach to the design of biomolecules for therapeutic purposes through the assistance of a method based on artificial intelligence approaches such as Generative Adversarial Networks (GANs) or Autoencoders.


  • Expected profile We are looking for a Postdoc of 18 months with experience in machine and deep learning. The candidate will demonstrate aptitudes or matches with most of the following aspects: - A PhD in Computer Science


  • - An established research record


  • - High motivation for scientific research


  • - Strong background in deep learning


  • - Strong programming skills (e.g. Python, PyTorch) and prior development experience with real-world and benchmark data


  • - Good communication skills in English (both oral and written)


  • - Chemical knowledge will be appreciated


  • Application Applications for this position will be received EXCLUSIVELY in a single PDF document containing your name in its title accessible for download via email sent to the three supervisors. Please avoid attached documents and include links if you would like to send an additional document. The subject of the email must be “Application for Post doc position in Artificial Intelligence-based Drug Design”.


  • Required documents are: - A curriculum vitae


  • - A motivation letter describing your interest in the position and the matches with the expected profile


  • - A link to your phd thesis and relevant related publications


  • - Names and contact details of referees and / or letters of recommendation


  • - Other useful information


  • Contract The successful candidate will be employed by the University of Montpellier for a 18 months period of time (~ 2200€/month). Social security and benefits are included.


  • Collaboration - Institute of Biomolecules Max Mousseron


  • - LIRMM - Laboratory of Computer Science, Robotics and Microelectronics of Montpellier


  • Contacts - Pascal Poncelet, full professor at University Montpellier, [email protected]


  • - Jérôme Azé, full professor at University Montpellier, [email protected]


  • - Sandra Bringay, full professor at Paul Valéry University Montpellier, [email protected]


  • The offer is also available here: http://www.lirmm.fr/~aze/post-doc.html


  • Best regards Jérôme Azé