You will find below an announcement for the recruitment of a research engineer in digital humanities (computing / SSH), at La Rochelle University for 1 year renewable. All the details are below. Each week until recruitment, applications received by Sunday at 11.59 p.m. will be examined the following day. Best regards, Antoine Doucet and Cécile Chantraine-Braillon

La Rochelle University is recruiting within the LUDI Institute a research engineer in digital humanities.

- Description of the employer La Rochelle University is a multidisciplinary university which welcomes more than 8,600 students each year. She has 894 staff (including 466 teachers, teacher-researchers and 428 staff BIATSS). It is organized into 4 training or training components and research, including an IUT, 1 doctoral school and 10 units of research, including 3 UMR and 1 UMS. The annual budget of the University amounts to €90 million. The accounts of the University are certified without reserve or comment for several years. The built surfaces of the establishment represent 93300 m². - Description of the component

The LUDI Institute is a component of La Rochelle University created by deliberation of the Board of Directors No. 2018-11-19-2-1 of 19 November 2018, after consulting the academic council, in application of Article L. 713-1 of the Education Code. It ensures, within the framework of disciplines that are its own, the public service of education superior, as defined in articles L. 123-1 and following of the education code. Its missions, without prejudice to those devolved to the common services and other University entities are the following:

- bring together all the academic intellectual potential of the University to promote a dynamic of specialization on smart sustainable urban coastline - make La Rochelle University a benchmark institution internationally on the distinctive and rewarding theme of smart sustainable urban coastline;

- produce international experts, in different fields disciplinary, of very high level on the theme of smart sustainable urban coastline, with capabilities to systemic understanding of the challenges of a clearly positioned as interdisciplinary;

- implement all of the establishment's research and the Bac +5 to Bac +8 level trainings that are there backed, by intensifying the coupling research training, with aim to increase the number of doctoral students;

- promote a multidisciplinary approach to research and training, with respect for disciplinary excellence; - be active in the search for funding to enable support ambitions; - contribute to the dissemination of scientific culture and technical

. - All of these missions are deployed in coordination with the services and entities concerned.

- As part of its missions, the Institute has the responsibilities following: to organize the administrative and financial research and teaching entrusted to it, distribute and manage the resources allocated to it.

- Context For more than fifteen years, La Rochelle University has supported scientific projects in Digital Humanities, including the first have been driven by computer science research. It was initially work related to the computer reading of documents administrative which have gradually evolved into programs of research related to Automatic Language Processing.

Today, projects of regional and international scope are carried out in this field, such as the European H2020 Newseye program - https://www.newseye.eu/ , 2018-2022 L3i - https://l3i.univ-larochelle.fr/ ) and the research project Nouvelle-Aquitaine ANNA (2020-2024) involving both researchers in computer science (L3i) but also in human sciences, mainly historians (LIENSs). But research in Digital Humanities at La Rochelle University has also diversified and developed in other areas such as the promotion of historical heritage (Project CRHIA https://www.crhia.fr/ -MHN), digital geovisualization (ANR PORTIC, LIENSs) and the Performing Arts (2020 e-spectator project, ESR New Aquitaine ESNA 2021-23, CRHIA). Finally, the Digital Humanities at La Rochelle University, there have also recently been projects in didactic in order to create resources and digital tools with the Erasmus + Partnership DiMPAH project https://lnu.se/en/research/searchresearch/forskningsprojekt/project-digital-methods-platform-for-arts-and-humanities/ .

For a year and a half, La Rochelle University has also been involved in a digital humanities federation project within the European University that it coordinates, EU-CONEXUS: the ambition is in particular to set up, on a scale, the first master's degree in this emerging and innovative discipline, with various partners such as Universität Rostock (Germany), University of Zadar (Croatia), Universidad Católica de Valencia (Spain) and Klaipeda University (Lithuania).

- Description of the function We are recruiting a research engineer specialized in Humanities digital technology for research projects developed in the field at within the LUDI Institute of La Rochelle University. Under the responsibility of researchers with projects in the Humanities digital, the recruited person will be responsible for:

- Provide research support for Humanities projects digital tools developed at La Rochelle University; - Contribute to development, maintenance and support functional and/or technical related digital tools closely with researchers with projects in the Humanities digital;

- Administer access authorizations as well as data security issues; - Carry out a scientific watch on AAPs in the Humanities in progress as well as a technological watch on the tools and methods used in the field;

- Actively participate in the dissemination of results (seminars, science fair) and the training of researchers from the establishment (workshops);

- Integrate the Humanities research federation project within the European University EU-CONEXUS in link with the creation of a master's degree in the field at the scale European.

- Knowledge - Be familiar with as many tools and methods as possible usable in the context of studies in Digital Humanities: database, statistical processing, processing of videos, Websig, NLP, ontologies.

- Have a good knowledge of programming languages, commonly used in Digital Humanities (Python, R, Shell, Javascript, Nodejsetc.) as well as encoding languages (XML-TEI, RDF, OWL)

- Possess in-depth knowledge of software engineering and data modelling;

- Have a good knowledge of human-machine interfaces and artificial intelligence; - Good command of the English and French language in writing and orally ; - Skills in collective and network research

- Operational skills: - Apply the techniques and methods of the field; - Administer a database system (mastery); - Anticipate the functional and technical evolutions of the tools in Digital Humanities; - Write and update functional documentation and technical.

- Behavioral skills - Interdisciplinary teamwork - Autonomy - Sense of initiative and organization - Rigor and Reliability - Ability to conceptualize - Adaptability

- Specific details relating to the position PhD in Computer Science or in Social Sciences and Humanities (SSH), with necessarily an opening to digital Humanities.

2 or 3 years' experience in higher education, in a project in Digital Humanities, is a plus.

Activity at variable pace depending on the actions to be carried out. Some trips to plan.

CDD category position for 1 year, potentially renewable for 1 year Expected salary between 2100€ and 2300€ net monthly

- Contacts for information and applications Antoine Doucet ( [email protected] ) Cécile Chantraine Braillon ( [email protected] ) - Applications

Each candidate must compile a dossier including: - A cover letter ; - A detailed curriculum vitae; - A copy of the diploma corresponding to the requested profile.

Application deadline: along the water Audition of the selected candidates: along the water Starting date: ideally, September or October 2022

The LISN (Interdisciplinary Laboratory of Digital Sciences) of Paris-Saclay University and the ILLS laboratory (International Laboratory on Learning Systems) of McGill University jointly with ETS Montreal and MILA (Institut québécois d'intelligence artificial) in Canada(More information:

https://www.mcgill.ca/channels/fr/channels/news/un-laboratoire-international-dintelligence-artificielle-voit-le-jour-montreal-339253 ) are looking for a candidate to carry out a joint supervision thesis.

Title of the thesis: Detection of anomalies in texts by analysis statistics of lexical distributions (Statistical analyzes of lexical distributions with an application to anomaly detection in natural texts)

The supervision of the thesis will be provided by François Yvon (LISN, CNRS), Pablo Piantanida (ILLS, CNRS - Paris-Saclay University).

To consult the complete subject and submit an application: https://emploi.cnrs.fr/Offres/Doctorant/UMR9015-FRAYVO-009/Default.aspx

The application file must contain: - detailed CV, - Cover letter, - Details of transcripts (including M1 and M2), - Elements of bibliography or personal achievements relating to a research activity (ex master's project, subject of research internship, etc.), - 2 letters of recommendation.

Application deadline: July 14, 2022

Please distribute this attached document to your students and colleagues likely to disseminate in turn.

As part of the Smart Wallet Project, we are looking for one or two post-docs (or research engineer) on Incremental Multi-Modal Learning for Recommendation .

This post-doctoral project on multi-modal learning to create a recommender system consists of proposing probabilistic multi-modal clustering models and a base of neural networks. Multi-view and/or collaborative models will be adapted in a multi-modal and evolving context to take into account the different types of variables, but also the topological data structure. Another important aspect will be dedicated to the explainability of the approaches and the results obtained. Finally, the proposed approach will be tested on real data provided by Oonetic. (See the detailed subject in the attached file).

The project This Post-Doctorate is part of the smart wallet project of collaboration between the company oonetic and the ETIS laboratory, the MIDI team ( https://www.etis-lab.fr/midi/ ). The recruited person will be integrated into the ETIS laboratory which is a joint research structure between the University CYU Cergy Paris, the Ecole Supérieure d'Electricité ENSEA and the CNRS/INS2I.

Duration: 6-18 months Location : ETIS Laboratory, Saint-Martin site 2 avenue Adolphe Chauvin Cergy-Pontoise Cedex, 95032 Cergy-Pontoise Cedex Contact : Mr. Nistor GROZAVU: [email protected]

Ms. Nicoleta ROGOVSCHI: [email protected] Ms. Maria MALEK: [email protected] Start of position: as soon as possible

Desired profile - PhD in Computer Science with a profile in Machine Learning - Good skills using Python libraries for Data Science and Artificial Learning - Good writing and communication skills.

Application Application files (CV, cover letter, letter(s) of recommendation(s), list of publications) should be sent by email to [email protected]

Level and diploma required / experience desired: Tray 3. Possess a bachelor's or master's degree in management.

Previous experience within a research group (or similar) or an activity related to research and researchers will also be welcome experiences in the organization of congresses, meetings or conferences and as a project assistant.

Application methods Job Information For more information on the position, do not hesitate to contact Ms. Marie-Pierre Gleize:

[email protected]) or Mrs. Marisol Vazquez Cuevas (marisol.vazquez- [email protected] )

Sending applications CV and motivation letter to be sent exclusively to the following address:

[email protected]

The university implements an equal opportunity policy and encourages applications from qualified women and men, excluding any discrimination.

Job restrictions Travel: Yes On-call: No Weekend work: No Working hours: 8:00 a.m. - 6:00 p.m.

Teleworking possible

Start date: November 02, 2022

Date of publication of the offer 06/28/2022

Theoretical knowledge: - Ability to design and code applications. - Ability to collect and manage data. - Ability to manage projects. - Ability to write reports, articles, reviews. - Mastering and using databases. - B2+ level in English. - Knowing one or more themes related to smart and sustainable mobility will be appreciated.

Know how : - Master programming languages. - Master software engineering techniques. - Know how to manage multiple actions and prioritize their activity independently and according to constrained schedules. - Master office software (Word, Excel, Power Point...) and technologies information and communication (ICT). - Ability to establish relationships with the economic sector. - Knowing how to report. - Ability to conduct meetings.

Behavioral knowledge: - Work in a team, in a network and in interaction by adapting to various interlocutors. - Rigor, organization and reliability. - Sense of public service. - Sense of listening and dialogue, interpersonal skills - Demonstrate autonomy - Be proactive and driving force in the development of the project.

Level and diploma required / experience desired: Minimum Bac+5. Possess a doctorate or master's degree in the field of computer science.

Previous experience working on projects is strongly sought after. Master in English.

Duration: 13 months renewable (12 months) Job opening: September 2022 Salary: civil service grid

Application methods Job Information For more information on the position, do not hesitate to contact Mrs. Marie-Pierre Gleizes: [email protected]

Sending applications CV and motivation letter to be sent to the following address: [email protected] [email protected]

La Rochelle University is recruiting within the LUDI Institute a research engineer in digital humanities.

Description of the employer La Rochelle University is a multidisciplinary university which welcomes more than 8600 students each year. It has 894 staff (including 466 teachers, teacher-researchers and teacher-researchers and 428 BIATSS staff). It is organized into 4 training or training and research components, including an IUT, 1 doctoral school and 10 research units, including 3 UMR and 1 UMS. The University's annual budget is €90 million. The accounts of the University have been certified without reservation or comment for several years. The built surfaces of the establishment represent 93 300 m².

Component Description The LUDI Institute is a component of La Rochelle University created by deliberation of the board of directors n° 2018-11-19-2-1 of November 19, 2018, after consulting the academic council, in application of article L. 713 -1 of the education code. It ensures, within the framework of its own disciplines, the public service of higher education, as defined in articles L. 123-1 et seq. of the education code. Its missions , without prejudice to those devolved to common services and other entities of the University are as follows:

bring together all the academic intellectual potential of the University to promote a dynamic of specialization on the intelligent sustainable urban coast make La Rochelle University an international reference institution on the distinctive and rewarding theme of the intelligent sustainable urban coastline;

produce international experts, in different disciplinary fields, of very high level on the theme of the smart sustainable urban coastline, equipped with capacities for systemic understanding of the issues of a theme clearly positioned as inter - disciplinary;

implement all of the institution's research and related Bac+5 to Bac+8 level training, by intensifying the research-training coupling, with the aim of increasing the number of doctoral students;

promote a multidisciplinary approach to research and training, while respecting disciplinary excellence; be active in seeking funding to support ambitions; contribute to the dissemination of scientific and technical culture.

All of these missions are deployed in coordination with the departments and entities concerned. As part of its missions, the Institute has the following responsibilities: administratively and financially organize the research and teaching entrusted to it, distribute and manage the resources allocated to it.

For more than fifteen years, La Rochelle University has been supporting scientific projects in Digital Humanities, the first of which were driven by computer science research. It was initially work related to the computer reading of administrative documents which gradually evolved into research programs related to the Automatic Processing of Languages.

Today, regional and international projects are thus carried out in this field, such as the European H2020 Newseye program (2018-2022, L3i ) and the Nouvelle-Aquitaine ANNA research project (2020-2024) involving both researchers in computer science (L3i) but also in human sciences, mainly historians ( LIENSs ). But research in Digital Humanities at La Rochelle University has also diversified and developed in other areas such as the enhancement of historical heritage ( CRHIA -MHN Project), digital geovisualization (ANR PORTIC, LIENSs ) and the Arts of stage (2020 e-spectator project, ESR Nouvelle Aquitaine ESNA 2021-23, CRHIA). Finally, the Digital Humanities at La Rochelle University has also recently involved educational projects with a view to creating digital resources and tools with the Erasmus + Partnership DiMPAH project .

For a year and a half, La Rochelle University has also been involved in a digital humanities federation project within the European University that it coordinates, EU-CONEXUS: the ambition is in particular to set up, at the scale, the first master's degree in this emerging and innovative discipline, with various partners such as Universität Rostock (Germany), University of Zadar (Croatia), Universidad Católica de Valencia (Spain) and Klaipeda University (Lithuania) .

Description of the function We are recruiting a specialized research engineer _ in Digital Humanities for research projects developed in the field within the LUDI Institute of La Rochelle University.

Under the responsibility of researchers with digital humanities projects , the recruited person will be responsible for: Provide research support for digital humanities projects developed at La Rochelle University;

Contribute to the development , maintenance and functional and/or technical assistance digital tools in close relationship with leading researchers digital humanities projects ; Administer access authorizations as well as data security issues ;

Carry out a scientific watch on the AAPs in Digital Humanities in progress as well as a technological watch on the tools and methods used in the field ; Actively participate in the dissemination of results (conferences, science fair) and in the training of the establishment's researchers (workshops);

Integrate the digital humanities research federation project within the European University EU-CONEXUS in connection with the creation of a master's degree in the field on a European scale.

Knowledge Be familiar with as many tools and methods as possible that can be used in the context of digital humanities studies : database, statistical processing, video processing, Websig , TALN , ontologies .

Have a good knowledge of programming languages, commonly used in Digital Humanities (Python, R, Shell , Javascript, Nodejs etc.) as well as encoding languages ​​(XML-TEI, RDF, OWL)

Possess in-depth knowledge of software engineering and data modeling ;

Have a good knowledge of human-machine interfaces and artificial intelligence ;

Good command of the English and French language, both written and spoken ;

The candidate must hold a Master's degree in computer science or bio- computer science.

She/he should have: ● Strong skills in object and system programming and databases ● Good experience in statistics ● Good experience in machine learning

● Good experience in bioinformatics (desirable but not mandatory) ● Good oral communication in English, technical skills in reading and writing; ● Fluency in French is desirable but not required.

Application procedure: Contact the supervisors as soon as possible by joining:  a detailed CV  a cover letter  Transcripts for the last two years of university  Letters of recommendation if any.

Application deadline: Before submitting the application on the ADUM website, it is imperative to send the documents by email to the contacts given below and this no later than 03 July 2022.

Contact: [email protected]

Currently artificial intelligence (AI) and neural networks are the subject of numerous developments both in large industrial groups (Google, Intel, Microsoft) and in laboratories. Many avenues are explored, mainly at the server or large infrastructure level, which makes it possible to manage neural networks with very large numbers of layers. However, many studies also aim to relocate part of the calculations within the sensor itself. This is “Edge Computing” which describes the fact of bringing the processing of data closer to the system generating them.

In essence, this is opposed to “Cloud Computing” where processing is centralized and carried out in a central and remote system (in the cloud) imposing two-way communications that are costly in time and processing. One of the major drawbacks of “cloud-computing” is the potential violation of privacy (privacy) since the data is entirely transferred without the control of the individual. New laws, such as [GDPR16], have appeared to very strongly limit the use of such techniques. The “Edge” approach makes it possible, by bringing part of the calculation closer to the source of the data, to overcome this drawback by only providing the cloud with information on the captured data. This approach also helps move towards real-time data processing by reducing bandwidth and latency issues, resulting in better performance and lower operating costs for data-intensive applications.

This is all the more significant when the input data are images. It is therefore easy to understand that in a context combining artificial intelligence and therefore heavy calculations and “image” data processing, solutions based on the distribution of processing are the most ad-hoc. This approach, which can be called Edge-AI, will make it possible to execute processing algorithms based on intelligence at the very heart of the devices that are part of the "Edge Computing" network, using an Internet connection in a reasonable manner.

Objective : The objective of this thesis is to propose innovative solutions to the problems of intelligent image sensor networks (smart vision sensors), in particular the integration of collective intelligence within the network from pre-processed elementary data. on compute nodes.

All of the most proven image AI methods to date are based on CNNs (Convolutional Neural Networks). A main step of the thesis is to design deployable CNN architectures on sensor networks as well as to propose new distributed CNN learning methods. This involves:

• possible pooling of part of the CNN between the different nodes by ensuring privacy and optimizing resources (calculation, memory, network communications, therefore energy consumption): This would also make it possible to "personalize" local processing depending on the service.

• construction of a high-performance global CNN model with data from local sensors without transmitting sensitive information and limiting the volume and frequency of exchanges.

These algorithms and models will be based on recent techniques in AI by proposing new scientific and technical contributions in the context of Edge Computing. In addition, innovative machine learning approaches will be considered to enable efficient model building: representation learning, semi-supervised and continuous learning.

The objective of this more fundamental research on AI and “Edge Computing” is to apply its results to one or more real case studies in the field of computer vision (for example, detection and tracking of objects or people or the recognition of gestures in a video stream) and possibly to create a prototype on an FPGA board.

Environment : The thesis is supervised by Stefan Duffner from the LIRIS laboratory in Lyon (INSA Lyon), Imagine team, and Virginie Fresse from the Hubert Curien Laboratory (LabHC) in Saint Étienne (Jean Monnet University), Image Science & Computer Vision team.

It is funded by the Auvergne Rhône-Alpes region as part of the ARTIstE project (ARTificial Intelligence on the Edge) between the CEA, the University of Grénoble-Alpes, the University of Clermont-Auvergne, the University of Lyon and the Jean Monnet University.

The thesis will take place mainly in Lyon.

Please send your application with CV and transcripts to:

[email protected] [email protected]

This is a 3-year position funded by the ANR project ACDC and it will start next fall (2022). The whole project is a collaboration betweenthe MLIA at ISIR, the MILES team at LAMSADE, the Muséum national d'Histoire naturelle and RECITAL.

Data2Text (or Data-to-Text) is a new rising task in NLP. The goal is to automatically generate fluent and fact-based descriptions or utterances given data tables.

Many applications can be build upon this kind of approach: generation of financial and sports news stories, of product descriptions, the analysis and interpretation of reports, of IoT data, etc.

In general, the goal is to generate narrative summaries of complex and structured data sets. More details: https://allauzen.github.io/research/positions/

Description: As the maturity level of technology is increasing, we can now envision a real complementarity between humans and machines. The so-called “Human automation” highlighted the numerous possible combinations of complementary or shared tasks between human and machine. However, the levels of automation provided by this field focus on specific application domains and restrain combinations to rigid forms of cooperation. They do not take into account neither human capacity of adaptation, nor new abilities of technology based on artificial intelligence [1].

Human-Machine Cooperation approaches have instigated research studies addressing the definition of adaptive levels of automation. A methodology has been proposed with the objective to consider in the similar way human and artificial agents' competences (know-how, expertise, skills) and their capacity (workload, fatigue, energy consumption) to design and adapt cooperation according to situations) [2]. The adaptation concerns changes in agents’ capacity and competence to control situations, but also changes in agents’ capacity and competence to control cooperation (know-how-to-cooperate) [2]. The models proposed by the Human-Machine Cooperation field are now ready to be translated to models proposed by the Multi-Agent Systems field, and then implemented by the Artificial Intelligence field.

The objective of the PhD is to merge the advances of automation dealing with the integration of human decision making and control with the advances of artificial intelligence dealing with system ability to learn from human. The goal is, for human and machine, to learn from each other functions to control situations, but also to learn about each other to build up efficient cooperation. This topic aims at emphasizing the agents’ abilities to communicate and to exploit knowledge reasoning in order to support building and updating a representation of the other agent.

The machine must be able to explain its abilities, but also what it understands from/about human’s abilities. The design of a Common Work Space can be the support of such a communication, by enabling and making easier information sharing about situation, but most importantly information sharing about agents [3]. Agents would be able to develop “Team Situation Awareness” and would be “transparent” to each other. Human may be more confident in machine, even if overconfidence and Human-out-of-the-loop risks must be carefully monitored and controlled. Studies dealing with ethic aspects start to provide interesting clues to reach this goal [4].

The application field is crisis management, and more precisely how humans and robots may share or trade functions to control crisis situations, like the control of a fire in an open environment. Works from a previous LAMIH project so-called “SUCRé” may be continued by implementing cooperation between human and artificial agents, involved at tactical decision levels (support for decision making) or at operational decisional levels (robots).

Required skills: The candidate should have experience in Computer Science, Automation or Robotics, and knowledge or experience in the human factors domain. The candidate must be able to communicate in English.

Position context: The PhD study takes part in a collaboration in the international laboratory CROSSING: French-Australian Laboratory for Humans / Autonomous Agents Teaming

CROSSING addresses the Human-Autonomous agents cooperation topic with a multidisciplinary approach. The project results from 2 years of interaction of Cognitive Psychology, Artificial Intelligence and Robotics experts of the IRL. More precisely, the PhD subject takes part in the 4th section of the IRL roadmap about managing hybrid teams in which multidiscipline cooperation is required. The study implies a mirror duo in Crossing, with Anna Ma-Wyatt (Univ. of Adelaide, Cognitive Psychology) et Paulo Santos (Flinders, AI). Several stays in Adelaide will be planned.

Supervision team: Marie-Pierre Pacaux-Lemoine (HdR, Research Engineer), Emmanuelle Grislin-Le Strugeon (HdR, Associate Professor), Anna Ma-Wyatt (Australie), Paulo Santos (Australie)

Keywords: Automation, Computer Science, AI, Human factors, Crisis management, Methodology

Candidature : https://emploi.cnrs.fr/Offres/Doctorant/UMR8201-JOSBRO-011/Default.aspx

Start date: October 2022

Title of the thesis: Using Constraint Programming and model learning in Stable Matching to solve problems of the Stable Marriage type

Thesis supervision: Nicolas Beldiceanu (IMT) , Barry O'Sullivan (UCC), Gilles Simonin (IMT)

Application deadline: 30/06/2022

Applications should be sent to: [email protected]

If you are interested, please send us the following items as soon as possible: detailed CV, Cover letter, Details of transcripts (including M1 and M2), Elements of bibliography or achievements personal relating to a research activity (eg master's project, research internship subject, etc.), 2 to 3 letters of recommendation.

Interactive Multiparadigm Collaborative Learning for Time Series Analysis

The post-doctoral project aims to propose an innovative multi-paradigm interactive collaborative learning method, which combines supervised and unsupervised methods while allowing interaction with the expert.

The recruited person will propose and define new mechanisms allowing supervised and unsupervised methods to collaborate effectively to reach classification consensus. The procedures for exchanging information between them must be specified. It should also define an interaction protocol between the user and the learning methods through the use of constraints. Finally, it will have to concretely implement the proposed approaches to allow their testing and validation.

Note that there will be no development or use of methods based on Deep Learning.

Place : The selected person will be able to choose the place of attachment.

Paris Saclay Strasbourg

Collaboration : In order to facilitate collaboration between the two laboratories, travel is to be expected but will be borne by the laboratory. Duration : One year (renewable once)

Salary : from 2500€/month to 2700€/month (gross) depending on experience.

Contact : Antoine Cornuéjols [email protected] and Pierre Gançarski, [email protected]

DESIRED PROFILE - PhD in computer science and specialized in machine learning/data mining. - Solid knowledge in Data Science and more particularly on standard methods of classification and clustering. A first experience on the use of collaborative/set models or integration of constraints would be a plus.

- Good verbal (English or French) and written (English) communication skills. - Interpersonal skills and the ability to work individually or as part of a project team.

TO APPLY Interested persons must submit (by e-mail addressed to [email protected] and Pierre Gançarski, [email protected] ) their curriculum vitae, the list of their publications, a cover letter and the contact details of three references . Applications will be accepted until the position is filled. The position will start as soon as possible.

We are looking for a highly motivated candidate for a two-years Postdoc position interested in the investigation of the security and privacy of Machine Learning architectures, especially in the context of computer vision and video-surveillance.

The research will be conducted within a collaborative and highly stimulating environment. The candidate will be working with Ihsen Alouani at the IEMN-CNRS Lab Polytechnic University Hauts-de-France (https://www.uphf.fr/DOAE/) in Valenciennes, France and Ioan Marius Bilasco at University of Lille - CRIStAL lab (https://www.cristal.univ-lille.fr/), France.

The candidate will be recruited by UPHF and its main residence will be in Valenciennes but technically he/she will be working within the two institutions.

Polytechnic University Hauts-de-France (UPHF) in Valenciennes, and more specifically IEMN Lab (Institut d’Electronique, Micro-electronique et Nanotechnologie, https://www.iemn.fr/ ), are located in Campus Mont-Houy in an international and friendly environnent: https://www.youtube.com/watch?v=kVG_AcGBxvk&ab_channel=UPHFOfficiel

== REQUIREMENTS and Expected Qualifications: - PhD in Computer Science, Statistics, or Applied Mathematics with preferably background in machine learning, deep learning, computer vision, and similar topics

- A background in Cybersecurity is a plus - Ability to work in a collaborative environment - Fluency in English, both written and spoken

== APPLICATION: Please address an email with the subject "[MLSecCV] application" to: [email protected], [email protected] that enclose :

a) your CV; b) a list of publications; c) at least two reference letters.

The position is expected to start beginning of September 2022.

Contract start date: September - October 2022

Contract duration: 12 months

context An important challenge for the factory of the future is to preserve the health and comfort of industrial operators while improving their productivity. Collaborative robotics is a well-identified solution which, through appropriate assistance, allows the operator to focus on the tasks for which he has expertise, while delegating the tasks and constraints to an intelligent tool. The detection of the objects to which the operator's attention is focused in the performance of a task is an important element in anticipating the actions of this operator and thus developing cobotic systems capable of producing behaviors and assistance adapted as closely as possible. to operators.

Missions : In this context, the objective is to design a cobotic assistance system capable of inferring in real time the intentions of an operator from perceptual-gestural information in order to better choose, synchronize, and coordinate the tasks distributed between the human and the robot by adapting to different types of variability of professional gestures, while anticipating dangerous situations.

Profile sought : Engineer or doctor with strong computer skills.

Required skills : - Software engineering and development Java, Python - Machine learning (TensorFlow and/or PyTorch platforms) - ROS platform - Visual perception (2D, 3D)

- Contribute to the writing of scientific articles and technical reports - Teamwork - Good command of English

Cordially, Damien Pellier

Grenoble Alpes University Grenoble Computer Science Laboratory / Marvin Team IMAG Building — 700 Central Avenue CS 40700 - 38058 Grenoble cedex 9