Engineer / Researcher position in I.A - Startup - Montpellier



  • Good morning all, The Easy Picky start-up specializing in on-board video image recognition via smartphone is looking for an AI engineer / researcher with at least 3 years of experience.


  • Attached is the description of the job offer.


  • To apply, send your CV to: [email protected]


  • Don't hesitate to spin. Best regards,


PhD positions in Computer Science and Artificial Intelligence for ERC AdG WhiteMech



  • Dear colleagues and students, For the ERC AdG Project WhiteMech https://whitemech.github.io and related research, at the Department of Computer, Control and Management Engineering of Sapienza Università di Roma we are looking for enthusiastic PhD students interested in solving realistic-size and practical synthesis, planning and acting problems in the hot topics of resilient self-programming in several context including Cybersecurity (Cyber In-telligence and Information Security), Smart Manufacturing (Industry 4.0), or Digital Healthcare (Hospital of the Future), and Digital Finance.


  • Could you please forward the vacancy description below to anyone that comes to mind? Or please let me know if you'd like to know a bit more.


  • Thanks in advance, Prof. Giuseppe De Giacomo [email protected]


  • Prof. Marco Roveri [email protected]&nbs p; --------------------------------------


  • ERC AdG WhiteMech PhD positions in Computer Science and Artificial Intelligence Department of Computer, Control and Management Engineering Sapienza University of Rome - Italy


  • ERC AdG WhiteMech https://whitemech.github.io related PhD positions in Computer Science and Artificial Intelligence at the Department of Computer, Control and Management Engineering of Sapienza Università di Roma within challenging projects to develop new algorithms for the automatic synthesis of programs, strategies, policies, plans from high lev el specifications for resilience, and making these operate in industrial (e.g. manufacturing), (e.g. hospital), and Digital Finance relevant environments.


  • Resilience in Computer Science (CS) and Artificial Intelligence (AI) is the ability to recover gracefully from disruption of the expected circumstances. Resilience has a primary role in distributed systems, but other areas of CS and AI squarely focused on efficiency,considering resiliency only as an afterthought. This is especially true of the areas of CS and AI at the basis of self-programming, such as Agent Program Synthesis, Planning, Reasoning about Actions and Sequential Decision Making, and Formal Methods (FM), which all witnessed a very rapid development in the last years.


  • Are you interested in developing the foundations of resil ience in self-programming, develop novel algorithms, extending state-of-the-art AI techniques, and prepared to take-on real-life problems through an implementation of the techniques in tools and apply them in important application contexts, such as Cybersecurity (Cyber In-telligence and Information Security), Smart Manufacturing (Industry 4.0), or Digital Healthcare (Hospital of theFuture) or Digital Finance (with collaboration with JPMorgan)?


  • Join us in a team that considers automated program synthesis from high-level temporal logical specifications and automated planning the mean to achieve autonomous agent self-programming with the ability to o recover gracefully from disruption of the expected circumstances


  • The main tasks for the PhD student are to work on algorithms and artificial in telligence techniques from the fields of temporal logic synthesis, planning, constraint programming, mathematical optimization, evolutionary algorithms and/or reinforcement learning i) to solve such synthesis problems to achieve resilience; ii) to deepen our understanding of these techniques; iii) and to show how they can be successfully combined to solve relevant problems in the respective context. Moreover, the PhD student will be allowed to experiment the developed techniques and algorithms in realistic-size facilities (e.g. Robotic Labs at the University, and industrial facilities joint with the University of Trento) equipped with state-of-the-art robotic and automation platforms, or in realistic environments in collaboration with a big financial player (JPMorgan).


  • The calls are now open within National PhD in AI, and within PhD in Engineering of Computer Science), and granted from the Department of Computer, Control and Management Engineering of Sapienza Università di Roma with contribution of the WhiteMech ERC Advanced Grant in AI on WhiteBox Self-Programming Mechanisms. The research will be carried o ut under the joint supervision of Prof. Giuseppe De Giacomo (from University of Sapienza Roma) and Prof. Marco Roveri (from University of Trento).


  • Interested candidates shall contact


  • Prof. Giuseppe De Giacomo [email protected]


  • Prof. Marco Roveri [email protected] to ask for additional information and to arrange for a preliminary interview.


  • Requirements -------------- Applications for the National PHD in Artificial Intelligence and for the Phd in Engineering in Computer Science are accepted from applicants who hold:


  • an Italian “Laurea magistrale” instituted in conformity with Italian Ministerial Decree 270/2004, or


  • a university degree of the previous regulations ( Italian "Laurea specialistica " or "Diploma di Laurea"), or


  • an equivalent degree obtained abroad (Master's degree) and recognized as equivalent to the Italian "Laurea magistrale" by the Admissions Committee for the sole purposes of admission to the Doctoral programme, also within the framework of mobility and cooperation inter-university agreements.


  • Applications are also accepted from students who expect to complete their degree before the starting of the PhD grant (see the complete list of requirements in the application web page below).


  • Application -------------- We recommend interested students to apply to both programs (National PHD in Artificial Intelligence and for the Phd in Engineering in Computer Science) following the instructions available at the application link below:


  • Application link: https://www.uniroma1.it/en/pagina/phd-programmes


  • Deadline for the applications:


  • National PHD in Artificial Intelligence: July 23, 2021, 1:00pm CET Phd in Engineering in Computer Science: July 20, 2021, 2:00pm CET


Thesis offer at IMT Mines Albi in partnership with an ESN



  • Hello, We kindly ask you to distribute this thesis offer to your master's level students and possibly to other people who may be interested.


  • The details of the subject and the application procedures can be found in the following document accessible from this link:


  • https://www.dropbox.com/s/d7dh7fhxq1eljyo/SujetdeTheseBLSenseLife072021.pdf?dl=0


  • Thanking you in advance for your collaboration and our apologies for the multiple receptions.


  • Elyes Lamine HC Associate Professor HDR - ISIS Graduate Engineering School Associate Researcher - Industrial Engineering Department IMT mines d'Albi


  • Phone (ISIS): +33563359510 - Phone (EMAC): +33563493311 / Mob. +33664351072 [email protected] / [email protected]


  • National University Institute Champollion ISIS Engineering School University Campus / 95 rue Firmin Oulès - 81100 Castres Http://isis.univ-jfc.fr


Job: CDD (1 year), Research Engineer / Post-Doc confirmed in Automatic Language Processing, LISN



  • Research Engineer / Post-Doc confirmed in Automatic Processing of Languages at LISN.


  • Development of a virtual teaching assistant Type of contract: 1 year fixed-term contract


  • 1. Context We are looking for an experienced research engineer / post-doctoral fellow to work in the LISN laboratory of the CNRS and the University Paris-Saclay, within the ILES group, in Automatic Processing of Languages (TAL).


  • It is about working on a virtual assistant project teaching (chatbot dedicated to education and training), which the object of a collaboration between the laboratory and the company The AI Institute which is working on the development of https://professorbob.ai/ . This project is supported by the Paris-Saclay SATT as part of the maturation projects.


  • 2 Activities The overall goal of the project is to assist a teacher by helping him answer numerous and repetitive questions from learners. He must therefore learn to answer questions, relying on reliable data, provided by teachers.


  • Building on the recent work in the field of NLP, we know that it is possible to improve the classic and basic systems of responses to Questions.


  • However, the data within which the responses will need to be found are not the classic data used in evaluation campaigns, but data related to the discipline in the process of learning.


  • In this context, it is first necessary to collect a large quantity of data, in order to constitute a large number of question associations and answers, to then implement NLP technologies to associate the correct answer to a question asked.


  • In a first step, the work will therefore consist of formatting the data to constitute a corpus then to model how to constitute this set of question / answer pairs from structured data or not structured in relation to the current discipline learning.


  • The data comes from various sources: books academics, course handouts, authorized sites related to discipline being learned by the learner. It will then be necessary assess which models are the most suitable.


  • The difficulty also comes from the fact that we then wish to be able to generalize research, and therefore minimize the work that will have to be redone when we want to transfer the system either to another language or to another disciplined.


  • 3. Required Skills - Knowledge of NLP tools: - Deep Learning models: theoretical knowledge and advanced handling of RNNs, Auto-encoders, Transformers, etc ..


  • - Machine Learning libraries and frameworks like NLTK, Spacy, Scikit-learn, Keras, Tensorflow, Pytorch, etc. - Algorithms: good knowledge of classical algorithms on texts, trees, graph


  • - Statistics: knowledge of sampling techniques - Fluent scientific English


  • - Additional desirable skills: Search engines and textual indexing processing, use of Elasticsearch or SolR, formalization and search for regular expressions


  • 4. Education level: Doctorate with experience


  • General informations


  • Place of work: LISN, rue du Belvédère, university campus Paris-Saclay University


  • Type of contract: CDD


  • Contract duration: 12 months


  • Expected date of employment:from September 2021 Work quota: Full time


  • Remuneration: depending on experience Desired level of studies: Doctorate + additional experience Desired experience: supervisory experience


  • Contact: [email protected]


Job: Postdoc (6 months) - Language teaching, lexicon, game



  • CNRS - Employment and recruitment portal


  • Post-doc (M / F) language teaching, lexicon, games


  • https://emploi.cnrs.fr/Offres/CDD/UMR5191-MAXPEN-007/Default.aspx


  • Notification of the validation / publication of the offer: UMR5191-MAXPEN-007


  • Start of publication:Wednesday, June 30, 2021 Publication end date: Wednesday, July 21, 2021


  • Link to the offer https://emploi.cnrs.fr/Offres/CDD/UMR5191-MAXPEN-007/Default.aspx


AI engineer internship offer at the CIAD laboratory in Belfort



  • Hello everyone.


  • The ELLIADD-ERCOS and CIAD laboratories offer an engineering internship (6 months) in AI concerning the production of models for the analysis of signals from several sensors, for the extraction of characteristics relating to the monitoring of the behavior of drivers of semi-autonomous vehicles (levels 3 to 5).


  • Laboratory K nowledge and I NTELLIGENCE A rtificielle D istribuées CIAD UMR 7533


  • utbm.fr Teacher. Dr. Stéphane GALLAND Full Professor of Computer Science and Multiagent Systems


  • http://www.ubfc.fr


  • Deputy Director of CIAD French Head of ARFITEC ARF-17-11 & ARF-19-11 "Energy, Transport, Industry, Challenges for tomorrow"


  • Senior member of the Multiagent Group Member of AFIA


  • iC-ARTS Belfort-Montbéliard University of Technology - UBFC 13, rue Ernest Thierry-Mieg 90010 Belfort Cedex, FRANCE


  • CIAD Lab: www.ciad-lab.fr


  • Web: www.ciad-lab.fr/author-10836 Phone: +33 384 583 418 (work office)


Postdoc (18 months), Multimodal entity representation and disambiguation, CEA List / INRIA



  • Post-doc position (CEA List and INRIA) :


  • Multimodal entity representation and disambiguation


  • In the context of the research project “MultimEdia Entity Representation and Question Answering Tasks” (MEERQAT – ANR 2020-2024), a 18 months full-time postdoctoral position is proposed for highly motivated candidates interested in computer vision and multimedia understanding.


  • More info at https://www.meerqat.fr/wp-content/uploads/2021/06/meerqat_postdoc_cea_inria.pdf


  • To apply to the position, send a CV (including publication list or a URL pointing to it) and a cover letter to Hervé Le Borgne


  • ([email protected]),Yannis Avrithis ([email protected]), Laurent Amsaleg ([email protected]) and Ewa Kijak ([email protected]).


Poste ATER 27 - Université Paris 8



  • Bonjour,


  • l'Université Paris 8 recrute un poste d'ATER en section 27 (poste ATER 0694) avec enseignement à l'UFR STN (département d'Informatique et Intelligence Artificielle) et recherche au LIASD (intégration au sein de l'axe "Intelligence Artificielle Appliquée").


  • Le profil du poste est disponible sur l'application ALTAÏR : https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/ATERListesOffresPubliees/0931827F/FOPC_41519.pdf


  • La campagne de recrutement d'ATER est ouverte du 12 juillet 2021 au 26 juillet 2021, 16H00, heures de Paris sur ALTAÏR.


  • Pour plus d'information sur les modalités de candidature : https://www.univ-paris8.fr/3eme-campagne-d-attache-temporaire-d-enseignement-et-de-recherche-2021-2022


  • Cordialement, Larbi Boubchir -- ____


  • _________________________________________________ Larbi Boubchir, PhD, HDR, SMIEEE Associate Professor


  • LIASD - University of Paris 8 2 rue de la Liberté, 93526 Saint-Denis, France


  • Tel. (+33) 1 49 40 67 95 Email. [email protected]