• Job description


  • The General Delegation for the French Language and the Languages of France (Ministry of Culture) opens a post of project manager for technologies, research and innovation. Under the authority of the chief of the languages and digital mission, the person in charge of mission will ensure the animation and coordination of several projects priority:


  • - The implementation of the development project of a center for innovation, digital and language technologies on the site of the future Cité internationale de la langue française and la Francophonie in Villers-Cotterêts. He or she will ensure more long-term monitoring of projects incubated or supported in this framework.


  • - Developments in the Dictionary of Francophones, digital and collaborative, and a video game dedicated to the French language in its worldwide distribution.


  • - The implementation, writing and proofreading of content and news on the future “Language Observatory” site and on the website of the delegation, in connection with the mission “Public awareness”. It is also expected a follow-up regular visibility and audience of the proposed resources by the DGLFLF on its various websites and applications mobile.


  • Privileged contact for partners from the world of research, the project manager will contribute to the animation of the network relating to automated language processing within the mission in particular by setting up and organizing events, events, and discussion spaces.


  • Finally, the project manager will monitor regular, especially on social networks and platforms participatory as well as on the evolution of language technologies.


  • Description of the employer The general delegation for the French language and languages de France (DGLFLF) is an interministerial service of the Ministry of Culture, made up of about twenty agents, in charge of to lead and coordinate the government's linguistic policy, and to orient it in a direction favorable to the maintenance of cohesion social and taking into account the diversity of society.


  • Nature of the job


  • Job open to incumbents and / or contract workers


  • Position to be filled on December 1, 2021


  • Consult the complete job offer and apply directly on the Place of public employment:


  • https://place-emploi-public.gouv.fr/offre-emploi/chargee-de-mission-pour-les-technologies-la-recherche-et-l-innovation-hf-reference-2021-700517/


  • Thibault GROUAS Head of the Languages and Digital Mission 6, rue des Pyramides, 75001 PARIS


  • Phone. : 01 40 15 35 90 http://dglf.culture.gouv.fr




  • Call for postdoc applications in affective computing* (Grenoble Alps University)


  • *Summary*


  • The Grenoble Alps University has an open position for a highly motivated postdoc researcher.


  • The successful candidate will be working on the multi-disciplinary research project THERADIA, which aims at creating an adaptative virtual assistant that accompanies patients suffering from cognitive disorders during the completion of cognitive remediation exercises at home.


  • The person recruited will have the exciting opportunity to develop new machine learning techniques for the robust detection of affective behaviours from audiovisual data collected in-the-wild.


  • Models will be embodied in the virtual agent to monitor and adapt the interaction with the patient, and the whole system will be further tested in a clinical trial to demonstrate the effectiveness of the agent for accompanying patients suffering from cognitive conditions during digital therapies.


  • Duration: 2 years


  • Salary: according to experience (up to 4142€ / month)


  • *Scientific environment*


  • The person recruited will be hosted within the GETALP team of the Laboratoire d’Informatique de Grenoble (LIG), which offers a dynamic, international, and stimulating framework for conducting high-level multi-disciplinary research. The GETALP team is housed in a modern building (IMAG) located on a 175-hectare landscaped campus that was ranked as the eighth most beautiful campus in Europe by Times Higher Education magazine in 2018.


  • *Requirements*


  • The ideal candidate must have a PhD degree and a strong background in machine learning, and affective computing or cognitive science/neuroscience.


  • The successful candidate should have:


  • - Good knowledge of machine learning techniques


  • - Good knowledge of speech and image processing


  • - Good knowledge of experimental design and statistics


  • - Strong programming skills in Python


  • - Excellent publication record


  • - Willing to work in multi-disciplinary and international teams


  • - Good communication skills


  • *Application* Applications are expected to be received on an ongoing basis and the position will be open until filled. Applications should be sent to Fabien Ringeval ([email protected]) and François Portet ([email protected]). The application file should contain:


  • - Curriculum vitae


  • - Recommendation letter


  • - One-page summary of research background and interests


  • - At least three publications demonstrating expertise in the aforementioned areas


  • - Pre-defence reports and defence minutes; or summary of the thesis with date of defence for those currently in doctoral studies




  • Dear all, Orange offers a post-doctoral position in the field of Machine Learning algorithms for Smart Mobility :


  • https://orange.jobs/jobs/offer.do?joid=102047


  • The post-doc position can be based in Toulouse, Paris or Belfort, France, depending on candidate preference.


  • Kind regards, Andre Bottaro, PhD


  • R&D Unit Manager Orange Labs Toulouse - Blagnac




  • Hello, We are looking for a doctoral student or young doctor in AI who would be delighted to work in Corsica ASAP.


  • The company is called Agilitest www.agilitest.com and develops software to capture and automate software development and document production processes.


  • You will find attached the announcement,


  • Best regards, Laurence Moscardini CXO and UX Researcher




  • Hello everyone,


  • Following a last minute withdrawal, we are looking again for a candidate for a thesis project dedicated to signal processing of a laboratory X-ray fluorescence device.


  • The application will be done on drill cores but the work to be done by the candidate does not require knowledge of geology.


  • We are looking for someone who can program, has a solid foundation in math, and is interested in supervised learning algorithms.


  • The project is attached. The project is led by the GeoRessources laboratory with co-direction from CRAN, the two laboratories are in Nancy.


  • That potential candidates do not hesitate to contact us for clarification. It doesn't commit them to anything.


  • Best regards, Jean Cauzid


  • Cécile Fabre ([email protected])


  • Jean Cauzid ([email protected])


  • Required documents: CV, cover letter (including the contacts of 2 referees who have followed closely related to the work of the candidate in Master), transcripts of L3 / M1 / M2.




  • Job profile: contract teacher-researcher in computer science


  • Estimated starting date and duration: November 2021 until 08/31/2022 (renewable)


  • Minimum diploma required: doctorate


  • The Polytech Nantes engineering school and LS2N (Nantes Digital Sciences Laboratory) are recruiting a teacher-researcher in computer science.


  • The recruited person will come to reinforce the educational team of the engineering cycle (bac + 3/4/5) in computer science. With 240 students in the computer engineering cycle, Polytech Nantes is a major player in training in Nantes in this field.


  • In addition to training under student status, from the start of the 2021 school year, it has also opened under apprenticeship status (work-study program "Data engineering and artificial intelligence").


  • The recruited person will be fully integrated into the teaching team and will be particularly involved in the start of this new learning path.


  • She will provide teaching in a wide spectrum of scientific and technological computing (software development, databases, web, various subjects s around data) to students and apprentices, will participate in the management of apprenticeship training (monitoring of apprentices, organizational context of schooling) and will be involved in relations with companies, natural partners of training through learning.


  • This sensitivity to training-business links (and more broadly training-business-research) will be particularly appreciated. The expected teaching service is 192h equivalent TD.


  • The person recruited will join the LS2N laboratory, which is a mixed research unit (UMR 6004) under four supervisory bodies: University of Nantes, CNRS, Ecole Centrale de Nantes and IMT Atlantique.


  • The recruited person will carry out his research in the Data and Decision Sciences pole (SDD) or the Signal, Images, Ergonomics, Language pole (SIEL). It will strengthen the themes around big data and artificial intelligence which are at the heart of the challenges of the digital revolution.


  • The laboratory will consider the quality of the research file, the ability to develop a research theme within a collective and to participate in academic and industrial projects both nationally and internationally.


  • Contact for more information: [email protected] (dir. Polytech Nantes IT department).


  • Exact application procedure to be published soon on the website of the University of Nantes and Polytech Nantes.


  • Application deadline October 1, selection committee hearings scheduled for October 18.




  • Hello everyone.


  • The Karham company is the Distributed Artificial Knowledge and Intelligence laboratory (CIAD) opens a doctoral position under CIFRE contract from January 2022.


  • The thesis is part of the modeling of smart buildings using multi-agent systems and other approaches derived from artificial intelligence.


  • The title is " Contribution to the Modeling and Support for the Dynamic Management of User-Centered Services in an Uncertain Smart Building Environment "


  • Details are provided in the attached document.


  • Please send your application file before October 15, 2021 to Prof. dr. Stéphane GALLAND [email protected] , Dr. Emmanuel DUFRASNES [email protected], Dr. Nicolas COCHARD [email protected] , Mr. Pascal ZERATES [email protected] .




  • In the context of the research project MultimEdia Entity Representation and Question Answering Tasks (ANR 2020-2024), a postdoctoral position is proposed for highly motivated candidates interested in multimedia understanding and natural language processing.


  • The main task of the post doc will consist in injecting some knowledge into a multimedia (image and text) entity representation to address Multimedia Question Answering. See the following link for 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 CEA (Palaiseau, near Paris, France) for a 18-months post-doc.


  • The LISN is located close to CEA on the Paris-Saclay University Campus.


  • To apply to the position, send a CV (including publication list or a URL pointing to it, 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 detail.


  • Thank you




  • The Signal Processing Lab (LTS4) at EPFL, Lausanne, Switzerland, is seeking a candidate for a PostDoc position in the field of AI for healthcare.


  • The selected candidate is expected to develop collaborative research at the frontiers of image processing, computer vision, and machine learning for medical (histopathology) data.


  • He/she will be part of a highly interdisciplinary team that will work in close collaboration with the EPFL Imaging Center as well as medical scientists and clinicians.


  • The main responsibilities consist of the following:


  • - Conduct novel research at the intersection of machine learning, computer vision, and medical imaging.


  • - Transfer research outcomes to medical partners in hospitals.


  • - Publish and present scientific results in international conferences, workshops, and journals.


  • - Participate in the supervision of Master’s and Ph.D. students.


  • Applicants should have completed or be about to complete their PhD in Computer Science, Electrical Engineering, or a closely related field.


  • We expect a strong scientific background and a proven publication record in machine learning/signal processing/computer vision, as well as a strong interest in biomedical applications. This two-year position will be filled as soon as possible.


  • Interested candidates should send their CV, publication list, a short research statement and the contact information of at least two referees to Dorina Thanou ([email protected]) and Pascal Frossard ([email protected]).




  • Dear colleagues, we have an exciting new opportunity at Imperial College London's EEE department to join us as a permanent teaching fellow; due to the success of our MSc in Applied Machine Learning, and the corresponding MEng/BEng ML modules, we are looking for additional educators passionate to develop and deliver ML educational material (lectures, laboratory activities, coursework), and help our department in the supervision of MSc and MEng students' activities (including dissertation projects, industrial placements, among others).


  • You should be a person that enjoys interacting with and supporting students, their learning experience and their wellbeing.


  • Imperial College has obtained a Gold rating in the recent UK Teaching Excellence Framework, and places special emphasis in excellence both in teaching and research.


  • Our department of Electrical and Electronic Engineering has several groups that use machine learning in diverse intelligent system applications, including computer vision, audition, self-organising systems, communications and robotics.


  • For more details about the post and how to apply (online; deadline 3rd of October) see:


  • https://www.imperial.ac.uk/jobs/description/ENG01855/teaching-fellow-applied-machine-learning


  • With my best wishes, Yiannis


  • -------- Professor Yiannis Demiris, FIET, FBCS, FRSS Royal Academy of Engineering Chair in Emerging Technologies


  • Director, Personal Robotics Laboratory Head, Intelligent Systems and Networks Group


  • Department of Electrical and Electronic Engineering, Rm 1011, Imperial College London, South Kensington Campus, Exhibition Road, London, SW7 2BT, UK


  • Tel: +44-(0)2075946300, Fax: +44-(0)2075946274 Webpage: http://www.imperial.ac.uk/people/y.demiris


  • Lab: http://www.imperial.ac.uk/PersonalRobotics


  • Twitter: @YiannisDemiris