LORIA and the company KIT are recruiting a post doc on a permanent contract, future R&D manager



  • LORIA and the company KIT are recruiting a post doc on a permanent contract, future R&D manager


  • Context The BIRD team of the LORIA laboratory (Nancy) and the company Keep In Touch (Startup of 10 employees recognized Deeptech, based in Strasbourg and incubated at SEMIA) are recruiting a post-doctoral student on a permanent contract (contract of indefinite duration) in the field of the Analytic Human Resource: AI for the benefit of e-recruitment.


  • The objective of the joint research project is the automatic identification of elements (company/offer and candidate) not formalized in job offers and CVs to improve the quality of recruitment.


  • Current recruitment approaches rely on information explicitly presented in CVs and job offers to automatically identify promising candidate profiles for a given job offer (positions held, technical skills, years of experience, employer, etc.) .)


  • However, important elements that are not explicitly present come and must be taken into consideration for successful recruitment.


  • For example, skills acquired in one area and transferable to another, skills/skills not explicitly mentioned but inferred from the activities mentioned, business practices, etc.


  • Objectives of the post-doctoral fellow The post-doc will have several objectives:


  • - Design an automatic identification model of latent skills. This model will be based on machine learning and will use a database of CVs and personality tests.


  • - Design a model for creating a (argued) portrait of a company reflecting practices, feelings, etc. around this business. This work will be based on data from partner companies (the exact nature of which is still being defined with the partners).


  • - Create an offer (company)/CV matching model using the implicit elements and based on the two previous models.


  • - Contribute to the finalization of the development of the recruitment platform


  • The recruited person will be in contact with the CTO and the CEO of the company, but also with the LORIA laboratory. She will actively participate in finalizing the development of a recruitment platform currently under development. The person will become the company's R&D manager. The person recruited will be an employee of the company and made available to the LORIA laboratory in Nancy. The workplace will be to be agreed between Strasbourg and Nancy with occasional trips between the two sites to be planned.


  • Recruitment: as soon as possible


  • Required Skills. The recruited person will hold a doctorate in computer science (specialty Artificial Intelligence and machine learning preferably), knowledge of automatic language processing would be appreciated.


  • A strong capacity for interaction: understanding of needs and argumentation of choices (oral and written) is required.


  • Developing skills are needed.


  • How to apply Send an email to armelle.brun @ loria.fr and antoine @ kit-rh.com joining


  • - CV (including list of publications)


  • - a cover letter


  • - the thesis pre-reports


  • - the 2 most significant publications


  • Do not hesitate to get in touch by email for any questions relating to the position offered.


Two Open PhD Positions at Université Côte d’Azur, CNRS, Inria (France)



  • — Argument Quality Assessment and Improvement Keywords: argument mining, argument quality, argument generation


  • — Argument-based counter narratives generation to fight online hate speech


  • Keywords: hate speech detection, counter-argument generation, argument mining


  • More details about the two PhD positions are available here:


  • https://3ia.univ-cotedazur.eu/about/apply/call-for-applications-phd-postdoctoral-positions


The PhD positions (3 years) is funded by the 3IA Côte d’Azur



  • Interdisciplinary AI Institute (https://3ia.univ-cotedazur.eu/).


  • Artificial Intelligence, Natural Language Processing, Argumentation, Machine Learning, Statistical Learning


  • - Master degree in Artificial Intelligence, Data Science, Computer Science or Computational Linguistics is required. - Programming skills are required.


  • - Knowledge of Natural Language Processing and Argumentation is preferred.


  • - Fluent English required, both oral and written. French is appreciated but not mandatory.


  • Apply by sending an email directly to the supervisors (Elena Cabrio, [email protected] and Serena Villata, [email protected]).


  • *Deadline for applications: *** May 24th, 2023 ****


  • _The application must include:_ - Curriculum vitæ.


  • - Motivation Letter.


  • - Academic transcripts of a master’s degree(s) or equivalent.


  • - At least one letter of recommendation


Two Open PhD Positions at Université Côte d’Azur, CNRS, Inria (France) on



  • — Argument Quality Assessment and Improvement Keywords: argument mining, argument quality, argument generation


  • — Argument-based counter narratives generation to fight online hate speech Keywords: hate speech detection, counter-argument generation, argument mining


  • More details about the two PhD positions are available here: https://3ia.univ-cotedazur.eu/about/apply/call-for-applications-phd-postdoctoral-positions


  • The PhD positions (3 years) is funded by the 3IA Côte d’Azur Interdisciplinary AI Institute (https://3ia.univ-cotedazur.eu/).


  • • Master degree in Artificial Intelligence, Data Science, Computer Science or Computational Linguistics is required.


  • • Programming skills are required.


  • • Knowledge of Natural Language Processing and Argumentation is preferred.


  • • Fluent English required, both oral and written. French is appreciated but not mandatory.


  • -- Application process -- Apply by sending an email directly to the supervisors (Elena Cabrio [email protected] and Serena Villata [email protected]


  • Deadline for applications: May 24th, 2023


  • The application must include: - Curriculum vitæ.


  • - Motivation Letter.


  • - Academic transcripts of a master’s degree(s) or equivalent.


  • - At least one letter of recommendation


PhD position in developmental robotics



  • We are pleased to announce a PhD position in developmental robotics with the Co4Sys team of the LCIS lab at University Grenoble Alpes.


  • Title : Developmental approach for open-ended and continuous development of representations and behaviours for situated agents and mobile robots


  • Keywords: Life long learning, situated agents, multi-agent system, developmental robotics


  • Funding duration: 3 years.


  • To apply, please send a CV, cover letter and any relevant document to: - François Suro: [email protected]


  • - Clément Raïevsky: [email protected]


  • More details attached and on the dedicated euraxess page: https://euraxess.ec.europa.eu/jobs/100914


PhD position offer: Uplift estimation in offer recommendation systems



  • Subject: Offer recommendation systems such as NBO (Next Best Offer) are increasingly common in companies like Orange seeking to improve their relationship with users of their services. Customers or visitors are offered a personalized action based on their profiles and preferences. However, personalized treatment by recommending an offer based on these criteria is not always enough to satisfy a customer.


  • It is therefore important for companies to measure the uplift [1], ie the difference in income or satisfaction between the choices that the customer would have made without a recommendation and those that he makes with a recommendation. The challenge of offer recommendation systems is therefore to find algorithms to measure the uplift and estimate efficient recommender system policies. The choice of the uplift measure and the modeling of the system policy is an important issue to maximize the impact of actions.


  • An intrinsic difficulty of the uplift is that you cannot do a treatment and a non-treatment for the same individual. This implies that the uplift cannot be measured directly for an individual but only for a group of individuals, what is called the CATE (Conditional Average Treatment Effect). Apart from the measurement of the CATE in a system where the profiles change according to the treatment that one wants to do, becomes difficult to estimate [4]. In addition, biases between data from different treatments bias the measurement of CATE. The literature offers different approaches to solve this problem. Some aim to debias the data and use a robust estimator [2] and others to use causal approaches directly [5].


  • The objective of the thesis is to propose new evaluation metrics and modeling methods for uplift in an offer recommendation system. The main challenges are the evaluation of the uplift in a recommender system and the learning of recommendation policy optimizing the uplift in a context of biased data. We will focus in particular on the causal approaches [3, 5] and Bayesian approach [2] known for their robustness.


  • Profile : - the doctoral student must have a good knowledge of statistics and mathematics.


  • - knowledge of machine learning is a real plus.


  • - programming skills are essential: mastery of a scripting language dedicated to data analysis (Python, possibly R or Matlab).


  • - strong motivation, ability to synthesize, to write and present work well (English) and to integrate into a team are also required


  • - experience in the form of a research internship in the field of statistics/machine learning.


  • The desired profile is BAC + 5, engineering school or Master's degree in statistics and/or applied mathematics and/or data sciences


  • Location: Orange Innovation (Lannion) and GREYC CNRS UMR 6072 laboratory (Caen)


  • Within Innovation Orange, you will be integrated into a research team at the forefront of innovation and expertise in Machine Learning working on various themes, such as generative models, time series processing, ethical AI and Uplift modeling. You will be part of a research ecosystem alongside operational units, with the aim of developing cutting-edge algorithms and disseminating them within the group.


  • Promising subject allowing the evolution towards the professions of research in artificial learning or data-science


  • Promotion of work through collaboration in the development of an open source python library on uplift modeling (Kuplift).


  • Salary: You receive a gross annual salary of €33,848 in the 1st and 2nd year and €38,480 in the third year.


  • To apply: submit your application to https://orange.jobs/jobs/v3/offers/124860?lang=fr


CDI AI Engineer - NLP F/M



  • The primary mission of the DGA is to provide the armies, the services of the Ministry of the Armed Forces and certain interministerial services with the systems and tools necessary for their missions. The Information Control center at the Bruz site (near Rennes) is the technical expert of the Ministry of the Armed Forces for information and communication systems, cyber security, electronic warfare, the navigation functions of security systems. weapons and missile systems.


  • In this context, the EORD department includes a team specialized in automatic language and speech processing, in charge of supporting this field of activity in rapid evolution and with a rapidly growing operational need. Many areas are covered: information extraction, generation, dialogue, information retrieval, machine translation, speech processing, multimodal processing, processing of poorly endowed languages, NLP security & robustness, etc.


  • By joining this team of AI/TAL specialists, you will benefit from:


  • A high-tech environment with significant resources and increased attention to maintaining scientific and technical skills;


  • A motivating application framework enabled by direct contact with the operational services end users of TAL technologies;


  • Autonomous work within a team with a strong collective spirit, where everyone's appetites are taken into account;


  • A privileged work environment allowing a very good personal and professional balance;


  • Work in hybrid mode, both on the Bruz site (accessible by soft mobility from the Rennes metropolis) and in partial telework, if desired;


  • A place of work which is also a place of life, with many sports and cultural associative sections;


  • An environment offering multiple development opportunities in rich and varied technical fields or towards management positions.


  • Your role You join the service in charge of providing expertise services in order to acquire, adapt and integrate IA/TAL technologies for the benefit of the Ministry of the Armed Forces. You thus join experts working in close collaboration with other services, in interface both with civil actors (research labs, companies in the sector) and with end users:


  • You contribute to the collection of operational needs and the specification of systems integrating tools and technologies related to the exploitation of structured and/or unstructured multilingual language data;


  • You contribute to preparing for the future, in particular by taking into account foreseeable developments in technologies, threats, expected performance, etc. ;


  • You are in charge of the technical follow-up of the realization by the industrialists and the qualification of the technologies of IA/TAL;


  • You organize and lead experiments involving operational staff, state representatives, and representatives of the scientific and industrial communities.


  • You also contribute to maintaining expertise by:


  • Ensuring a scientific, technical and industrial watch on your field;


  • Contributing to the development and improvement of means of assessment for NLP, which may include the design and implementation of algorithms and models for language data processing and technology assessment and through participation in evaluation actions;


  • Contributing to the promotion of the technical capacities of the DGA by participating in exchanges with the national and international scientific community.


  • Your skills Holder of at least a Bac+5 diploma (engineer, master, doctorate appreciated), you are specialized in AI applied to automatic natural language processing:


  • You master state-of-the-art approaches, in particular neural approaches;


  • You know the advantages and limits of the different learning methods and symbolic methods;


  • You have development experience with Python libraries.


  • Rigorous, you have a good spirit of synthesis both orally and in writing, and have good writing skills. You also demonstrate good interpersonal skills.


  • You are more particularly a specialist either in machine translation or in knowledge modeling issues, at the interface between NLP and knowledge engineering (automatic enrichment of knowledge bases and ontologies, alignment of ontologies, entity linking , etc.) ;


  • You are sensitive to evaluative issues;


  • You appreciate teamwork ;


  • You are curious and like to be a force of proposal on the orientations of work and methods of collaboration.


  • Candidacy - You are recruited on a permanent contract under a public law employment contract under the status of Defense engineers and technical-commercial managers (ICT):


  • Salary fixed according to age, experience and position to be filled;


  • 25 days of annual leave, 18 RTT, hours of recovery, days of sick child leave.


  • You benefit from the social action of the armies: help and services for everyday life (children, budgets, housing, health, leisure, holidays and sports clubs in France and abroad, etc.).


  • Send your CV in French to [email protected] indicating the reference 2023/ASC2/EORD-TAL.