National Laboratory of Metrology and Testing



  • Hello, the National Laboratory of Metrology and Testing is currently looking for a post-doc (18-month contract) for a start-up in September/October 2021 in the field of analog AI evaluation.


  • The post-doc is part of a European project with Finnish and Polish partners for the design and validation of analog hardware capable of making AI and will be used on a radar application in the medical field.


  • I remain at the disposal of anyone who would like further information.


  • Sincerely, Rémi REGNIER PhD Research engineer in AI and robotics evaluation Direction Tel.: 01 30 69 10 97 Laboratoire national de métrologie et d'essais 29 avenue Roger Hennequin 78197 Trappes Cedex - lne.fr < https://www.lne.fr/ >


  • Project managers: Rémi Régnier ([email protected]), Olivier Galibert ([email protected])


  • Duration: 18 months


  • Entitled : Post-doctoral fellow in the evaluation of AI systems on analog hardware


  • You will join a team of ten engineers and doctors regularly accompanied by post- doctoral students, doctoral students and interns, specializing in the assessment and qualification of systems artificial intelligence.


  • This team is historically recognized for its expertise in the evaluation of automatic information processing systems (language processing, image processing, etc.).


  • In recent years, it has diversified in terms of areas application of its intelligence assessment expertise by dealing with subjects such as medical devices, collaborative industrial robots, autonomous vehicles, etc.


  • She capitalizes on the diverse and targeted know-how of its experts (NLP, imaging, robotics, etc.) in order to jointly find a satisfactory solution to the issue of evaluation and intelligent systems certification.


  • LNE is one of the three European partners of the AIR project of the Chist-Era program (2020- 2022, https://www.chistera.eu/projects/air) on the topic Analog Computing for Artificial Intelligence.


  • The project will focus on the use of radar technology for detection and tracking human vital signals (respiration, heart rate) for various applications such as monitoring of medical patients, intervention robots ...


  • In this context, LNE will have to put in place of new evaluation protocols for innovative analog-based AI systems and carry out a comprehensive evaluation campaign to promote this new product internationally type of hardware.


  • Missions: As a post-doctoral fellow in the evaluation of AI systems on the AIR project, your field Priority intervention will be to materialize the evaluation campaign for this project.


  • It will pass by defining evaluation protocols, metrics, test benches, carrying out the campaign and comparison with the existing one.


  • The position will require you to work in close collaboration with the Finnish laboratories of the VTT (hardware designer) and Polish LUT (algorithm designer) for good progress of the project. It will also ask you to know how to promote at the international level the project results.


  • You will cover the following missions:  Design and validation of test protocols for radar technologies with embedded AI (both analog and digital media)


  •  Design and implementation of evaluation metrics  Design of benchmarks for benchmarking


  •  Definition and design of test benches with the staff of the LNE test department


  •  Programming and conduct of evaluation campaigns


  •  Collaboration with European partners for the follow-up of the project  Participation and organization in project meetings


  •  Publication and presentation of scientific results


  • Profile (training / school):  BAC + 8 (preferably in information and communication sciences and technologies with a specialization in AI or hardware)


  • Skills and knowledge:  Artificial intelligence


  •  Systems evaluation


  •  Electronics / electromagnetism


  •  C ++ / Python programming


  •  English


Position Lecturer open in Machine Learning at Télécom Paris / limit applications 24 September 2021



  • Associate Professor in Machine Learning The group dedicated to Research in Machine Learning, Statistics & Signal Processing (the research group S2A), within the Image, Data & Signal department (the IDS Dpt.) and the Laboratoire Traitement et Communication de l'Information (LTCI) is recruiting an Associate Professor in Machine Learning.


  • Research The research activities will rely on the team expertise, which covers both theoretical and methodological works in Machine Learning, at the interface of computational/mathematical statistics, stochastic modelling, time-series analysis, signal processing and optimization. Expertise in one of the following subjects at least is desired:


  • trustworthy machine learning (reliable, robust, fair, explainable) online learning, reinforcement learning


  • structured prediction / multi-task


  • large scale learning, frugal learning


  • time-series, spatio-temporal data


  • Research results will be published in leading journals and conferences. Activities in scientific bodies, organization of special sessions, workshops as well as involvements in committees of scientific conferences will contribute to the visibility. The recruit is expected to contribute to scientific projects with industrial partners, around very challenging subjects such as the scientific topics of the chair https://datascienceandai.wp.imt.fr/en/home-2/ . This may be possibly done by participating to industrial chair programs, bilateral contracts, proposals to national and international research project calls or by co-supervising PhD theses (including CIFRE theses, involving industrial partners).


  • Teaching In the fields of Machine Learning, teaching at Telecom Paris mainly occurs at the level of bachelor or master courses (e.g. probability, statistics, optimization), as well as in specialized training courses (e.g. machine learning, nonparametric statistics). The master courses also include courses in masters of Institut Polytechnique de Paris. The members of the S2A team are also involved in professional masters of Telecom Paris fully dedicated to Big Data (“Management and Analysis of Big Data”) and AI, as well as in certificates “Data Scientist” and “AI”: they are in charge of the statistics and machine-learning courses. The candidate will participate to these teaching activities.


  • Skills Education : PhD or equivalent


  • An international postdoctoral experience is welcome but not mandatory English: fluent; French: the candidate should be willing to learn it


  • Knowledge and experience required


  • Research publications in Machine-Learning


  • Teaching experience at the university level


  • Other Qualities and skills Capacity to work in a team and develop good relationships with colleagues and peers


  • Excellent writing and pedagogical skills


  • Additional information In the context of the Institut Polytechnique de Paris, the activities in Data Science and AI of the S2A team benefit from the center Hi! Paris (https://www.hi-paris.fr), offering seminars, workshops and fundings through calls for project


  • The position • Permanent position • 19 place Marguerite Perey - 91120 Palaiseau - France


  • Application Application must be performed through one of the websites


  • VF: https://institutminestelecom. recruitee.com/o/maitre-de-conferences-in-learning-statistics-fh-a-telecom-paris-cdi


  • VA: https://institutminestelecom. recruitee.com/l/en/o/maitre-de-conferences-en-apprentissage-statistique-fh- a-telecom-paris-cdi


  • Applicants should submit a single PDF file that includes: - cover letter,


  • - curriculum vitae,


  • - statements of research and teaching interests (4 pages) - three publications


  • - contact information for two references


  • Important dates September 24, 2021 : application deadline October 25-26 and November 4-5: interviews (by visio-conference eventually)


  • Winter 2021/22: beginning


  • Contact : Stephan Clémençon (Head of the S2A group) [email protected]


  • Florence d’Alché (Holder of the Chair DSAIDIS)


  • florence.dalche@telecom-paris. fr


  • For more info on being an Associate Professor at Telecom Paris, contact [email protected]


  • Other web Sites : Signal and Image Processing Department https://www.telecom-paris.fr/fr/lecole/départementements-enseignement-recherche/image-donnees-signal


  • Communication and Information Processing Laboratory https://www. telecom-paris.fr/fr/recherche/laboratories/laboratory-processing-and-communication-of-information-ltci


  • Team S2A https://www.telecom-paris.fr//research/laboratories/laboratory-processing-and-communication-of-information-ltci/research-teams/statistical-signal-and-learning-s2a


  • Telecom Paris http://www.telecom-paris.fr


Theses in security assessment of complex systems



  • Hello, as part of a project of the Polytechnic Institute of Paris, we offer 2 theses on the following themes:


  • - Modeling and safety assessment of a complex system: https://cloudgravity.github.io/files/jobs/ceres-lot1_phd.pdf


  • - Digital twin for the security of technical building management: https://cloudgravity.github.io/files/jobs/ceres-lot2_phd.pdf


  • We also offer a platform engineer position: https://cloudgravity.github.io/files/jobs/ingenieur_pf-ceres_fr.pdf


  • The subjects and the application procedure are detailed in the links above. The theses will start no earlier than October 2021.


  • Regards, Gregory Blanc


  • Telecom SudParis Polytechnic Institute of Paris


5G cybersecurity theses



  • Hello, as part of a Recovery Plan project, we offer 2 theses on the following themes:


  • - Security quantification in a 5G network: https://cloudgravity.github.io/files/jobs/beyond5g-t3.2_phd.pdf


  • - 5G Slice Security: https://cloudgravity.github.io/files/jobs/beyond5g-t3.3_phd.pdf


  • The subjects and the application procedure are detailed in the links above. The theses will start no earlier than October 2021.


  • Regards, Gregory Blanc


  • Telecom SudParis Polytechnic Institute of Paris


Recruitment of a contractual IT teacher - reposted position



  • Hello, CY Cergy Paris Université (CYU) is recruiting a contractual teacher (teaching service of 384 hours), holder of a doctorate in computer science and able to teach in French and English.


  • This is an initial one-year CDD, from October 2021, with the intention to subsequently offer an extension with a 3-year contract.


  • This position is linked to the international Bachelors "Data Science and Big Data Technology" in collaboration with Zhejiang University of Science and Technology (ZUST), in Hangzhou, China, and "Data Science" in collaboration with the University of Mauritius (UoM ).


  • The teaching service will be shared between the two Bachelor and other courses within the computer science department of CYU.


  • As part of the two Bachelors, the recruited teacher will actively participate in the assembly, teaching and educational management of the Bachelor modules.


  • The teaching in the two Bachelors is done on site, in China and Mauritius, during stays of a few weeks.


  • For the Bachelor with ZUST the teaching is done in French, for the one with the UoM the teaching is done in English.


  • To apply, send a CV and a cover letter to Dimitris Kotzinos ( [email protected] ) and Dan Vodislav ( [email protected] ).


  • Application deadline: September 5, 2021


  • Regards, Dan Vodislav


PhD Position in ML and IR, University of Copenhagen



  • **** 5 PhD fellowships in Machine Learning and Information Retrieval


  • Department of Computer Science, University of Copenhagen


  • The Machine Learning Section of the Department of Computer Science at the Faculty of Science at the University of Copenhagen (DIKU) is offering five fully-funded PhD Fellowships in Machine Learning and Information Retrieval, commencing 1 January 2022 or as soon as possible thereafter.


  • - Deadline to apply: August 15, 2021


  • - Link to apply: https://employment.ku.dk/phd/?show=154480


  • * Our group and research, and what do we offer:


  • The fellows will join the Machine Learning Section at DIKU.


  • The Machine Learning section is among the leading research environments in Artificial Intelligence and Web & Information Retrieval in Europe (in the top 5 for 2020, according to csrankings.org), with a strong presence at top-tier conferences, continuous collaboration in international & national research networks, and solid synergies with big tech, small tech, and industry.


  • The Machine Learning section consists of a vibrant selection of approximately 65 talented researchers (40 of whom are PhD and postdoctoral fellows) from around the world with a diverse set of backgrounds and a common incessant scientific curiosity and openness to innovation.


  • The fellows will conduct research, having as starting point the following broad research areas:


  • - a fully-funded PhD in machine learning evaluation;


  • - a fully-funded PhD in bias and interpretability for machine learning;


  • - a fully-funded PhD in overparameterization and generalizability in deep neural architectures;


  • - a fully-funded PhD in applied machine learning and/or information retrieval with focus on human-centered computing aspects;


  • - a fully-funded PhD in web & information retrieval.


  • Who are we looking for?


  • We are looking for candidates with a MSc degree in a subject relevant for the research area.


  • The successful candidate is expected to have strong grades in Machine Learning and/or Information Retrieval.


  • For one of the PhDs, the candidate is expected to also have strong grades in Human-Centered Computing.


  • The candidate should have a preliminary research record as witnessed by a master thesis or publications in the area.


  • For more information, please have a look at: https://employment.ku.dk/phd/?show=154480


  • Maria Maistro, PhD Tenure-track Assistant Professor


  • Department of Computer Science


  • University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark


Internship offer Master 2 or computer engineer oriented AR / VR and Human Machine Interactions. Application deadline 30/09/2021.



  • Hello everyone, Our LINEACT EA7527 laboratory offers an engineer internship or Master 2 (6 months) in JN, RA, RV.


  • The internship objective is to develop a proof of concept of a Digital Twin associated with AR or VR interfaces and to assess the uses of these technologies in industry 4.0 applications.


  • Details are in the attached document.


  • End-of-study internship that can lead to a thesis depending on the results obtained.


  • Recruitment methods: on file and interview.


  • Please send your application to Ahlem Assila ( [email protected] ), David Baudry ( [email protected] ) and Mourad Zghal ( [email protected] ) with the subject line:


  • "[Application] digital twin industry and AR / VR internship"


  • Regards. Ahlem


  • Ahlem ASSILA Teacher Researcher


  • CESI Co-Chair "Industries and Services of Tomorrow - Grand EST Region M. +33 (0) 7 62 61 81 98 T. +33 (0) 3 26 25 95 21 [email protected]


  • CESI Reims Campus 7 bis Avenue Robert Schuman 51100 Reims, France


Post-doctoral position - Semantic data integration and decision making for Cybersecurity



  • Key words: DSS, Recommender systems, Multicriteria Decision Analysis, ontologies, semantic indexing, semantic search


  • Context: H2020 STARLIGHT project (2021-2025)


  • Law enforcement agencies (LEAs) create and have access to larger amounts of data more than ever before.


  • Heralded as a golden age for LEAs’ ability to investigate, solve and predict crime, the big-data revolution, in many ways, proved a false dawn with LEAs incapable yet to capitalise much of this data effectively.


  • Today, a new panacea exists – (machine learning in) Artificial Intelligence (AI). AI is envisioned as a silver-bullet to many of societies’ current challenges - streamlining and enhancing productivity and efficiency, spotting patterns and making decisions with unrivalled speed and accuracy.


  • To maximise the benefit of AI, LEAs must, for all the data they possess, also embed a critical and human-centric, inclusive approach alongside a coherent data strategy to underpin the implementation of any AI technologies for the safety and security of our society.


  • Position Description STARLIGHT will perform an extensive analysis on current LEAs’ gaps on the adoption of AI and how to reinforce their capacity with AI based tools, supported by innovating workshops to identify and consolidate LEAs’ needs and technology watch.


  • STARLIGHT will then activate research beyond the state of the art to bring EU LEAs in the era of Artificial Intelligence to counter newly emerging security threats (including adversarial AI and misuse of AI for criminal purposes). The post-doc will be involved in the work packages 7 and 8 and the following tasks.


  • Task 7.1 Multidimensional information fusion and correlation for operational knowledge generation: task deals with strategies and techniques to fuse and correlate multi-modal data and extracted information, to be reused for investigative and intelligence purposes.


  • Starting from a graph-based knowledge representation, AI-based fusion models and entity resolution techniques will be exploited to detect similarities between people, accounts, objects and events, in order to match and map information between different cases or multiple sources.


  • Adaptive semantic-oriented graph-based patterns will be applied to recognize hidden or potential relationships among sparse pieces of information. Such patterns will be automatically and periodically re-trained over observed knowledge, in order to be constantly aligned with the evolving environment and able to recognize emerging suspicious correlations.


  • Task 7.2 Operational Knowledge and Intelligence Exploration and Search focuses on the development of novel methods to search and explore large multi-modal collections.


  • It utilizes metric- and representation learning, zero-, single- or few-shot learning approaches to search for content that is not identified by pre-defined supervised classifiers, detectors or trackers and further includes local similarity and near duplicate estimations.


  • This task will further develop methods to provide content recommendations such as similar videos taken from different perspectives, audio similarity and text matching as well as novel approaches to align multi-modal information to facilitate modality-agnostic search interfaces.


  • Task 8.7 Data protection and privacy by design measures will provide LEA with solutions to ensure data privacy at the system level.


  • The first one will consist in a Decision Support System (DSS) or Recommender system that will propose high level authorization policies by learning users’ privacy preferences, with the aim of protecting end-user's personal data. The system will propose authorization policies thanks to specific learning algorithms. The outcome will then be a multi-criteria model that will consider the end-users' preferences for protecting privacy.


  • The second one will merge the power of collaborative/federated learning (with data not shared by design) and the guarantees provided by differential confidentiality (at negligible computational cost) in a unique framework for the design of AI models, offering the possibility of using and combine several techniques depending on the constraints of the use cases in the context of LEA operations and cybersecurity.


  • Requirements for this position Applicants are required to have a PhD in Computer Science, a strong background in semantic web technologies, ontology engineering, linked data management and query, Decision Support Systems, Recommender Systems and Multicriteria Decision Analysis. Fluency in written / spoken English is required too. Experience on programing skills, a good publication record as well as fluency in French language will be a plus.


  • Work environment Localization : Institut de Recherche en informatique de Toulouse (IRIT) - UPS, 118 Route de Narbonne F-31062 Toulouse Cedex - France and UT1C, 2 rue du Doyen Gabriel Marty – 31042 Toulouse Cedex 9


  • Duration: 24 months – starting on February 1st, 2022


  • Host department: Artificial Intelligence Department https://www.irit.fr/en/departement/dep-artificial-intelligence/


  • Host teams: ADRIA https://www.irit.fr/en/departement/dep-artificial-intelligence/adria-team/ and


  • MELODI https://www.irit.fr/en/departement/dep-artificial-intelligence/melodi-team/


  • The candidate will work with three permanent academic researchers, and a PhD student, and will collaborate with the partner companies in the project, mainly CEA, ENG, CRI, MIL, NBI, WEBIQ, CRI, EUROPOL, TNO, ZITIS.


  • Income: between 2200 and 3500 euros free of taxes (“net”) monthly according to past experience


  • How to apply? Applicants should upload their application files before September 1st 2021 on the following web page : https://bit.ly/3jnE7to .


  • Application files should contain at least a full Curriculum including a complete list of publications, a cover letter indicating their research interests, achievements to date and vision for the future, as well as either support letters or the name of 2 persons that have worked with them.


  • Candidates are welcome to contact: N. Aussenac-Gilles [email protected] +33 5 61 55 82 93 and P. Zaraté [email protected]