29 Postdoctoral Fellowship at Inria, France

This postdoc position is offered in the context of the  ANR PRME SINNet project (Socio-Inspired Neural Networks for Conversational Systems), aiming to develop socially-aware neural conversational models which are able to adapt their language and behavior to the agent-user social relationship.

One of the key human behaviors that is desirable for automatic systems to imitate is alignment, also called entrainment, which consists in mirrorring the interlocutor’s behavior and language use. This postdoc position will specifically be devoted to the characterization and modeling of alignment at the level of word meaning.

Le centre Inria de l’Université de Bordeaux est un établissement national de recherche publique en sciences et technologies du numérique situé à Talence (France). Il rassemble une vingtaine d’équipe de recherche en sciences numériques, informatiques, mathématiques, robotique, avec différents partenaires académiques et industriels.

Le projet de recherche s’inscrit dans le cadre des programmes de recherche ANR ASAP-HRC et Région Nouvelle-Aquitaine Perception-HRI, couvrant des axes de recherche complémentaires en robotique et en sciences cognitives. En collaboration entre l’équipe Auctus (Inria Bordeaux), l’équipe Interactions (CeRCA) et l’équipe RoBioSS (Institut Pprime), ces programmes visent à améliorer les interactions Humain-Robot en téléopération augmentée de retours haptiques et visuels, pour partager la tâche entre expertise de l’humain et assistance physique du robot.

Cette offre de postdoctorat est proposée pour un an au sein de l’équipe Auctus (centre Inria de l’Université de Bordeaux) et en collaboration avec l’équipe Interactions du CeRCA (CNRS, Université de Poitiers). Le/la postdoctorant.e recruté.e réalisera ses travaux de recherche à Inria, sur le site de Talence. Des visites pourront être prévues au CeRCA.

Le centre Inria de l’Université de Bordeaux est un établissement national de recherche publique en sciences et technologies du numérique situé à Talence (France). Il rassemble une vingtaine d’équipe de recherche en sciences numériques, informatiques, mathématiques, robotique, avec différents partenaires académiques et industriels.

Le projet de recherche s’inscrit dans le cadre des programmes de recherche ANR ASAP-HRC et Région Nouvelle-Aquitaine Perception-HRI, couvrant des axes de recherche complémentaires en robotique et en sciences cognitives. En collaboration entre l’équipe Auctus (Inria Bordeaux), l’équipe Interactions (CeRCA) et l’équipe RoBioSS (Institut Pprime), ces programmes visent à améliorer les interactions Humain-Robot en téléopération augmentée de retours haptiques et visuels, pour partager la tâche entre expertise de l’humain et assistance physique du robot.

Cette offre de postdoctorat est proposée pour un an au sein de l’équipe Auctus (centre Inria de l’Université de Bordeaux) et en collaboration étroite avec l’équipe Interactions du CeRCA (CNRS, Université de Poitiers). Le/la postdoctorant.e recruté.e réalisera ses travaux de recherche à Inria, sur le site de Talence, et plusieurs visites pourront être prévues au CeRCA.

The Postdoctoral appointment is joint with two INRIA research centers, Centre Inria d’Université Côte d’Azur (Samir M. Perlaza) and Centre Inria de Lyon (Jean-Marie Gorce). The position can be developed in either of these centers within a national collaboration network that includes INSA de Rennes (Philippe Mary). 

The onset of climate change and widespread geopolitical conflicts and social inequalities showcase the need for innovation and change that require a better world. Now technologies like artificial intelligence, the Internet of Things, robotics and other related technologies are making such a world all the more feasible. The A-IQ Ready project aims to introduce and materialise an intelligent autonomous ECS (Electronic Component and System) fit for our digital age and utilise crucial technologies, like edge continuum orchestration for artificial intelligence, distributed collaborative intelligence and quantum sensing, which could prove revolutionary for most services and industries. These technologies and their combination will propel the transition to a Europe of Society 5.0.

The activities of CONVECS focus on the formal modeling and verification of asynchronous concurrent systems, which are instantiated in various domains (communication protocols, distributed algorithms, embedded systems, networks-on-chip, etc.). To this aim, CONVECS proposes new generation formal languages for specifying the behavior and the properties of concurrent systems, and devises efficient verification algorithms and tools running in the CADP verification toolbox, which assists the various phases of the design process (compilation and rapid prototyping, interactive and guided simulation, model checking and equivalence checking, conformance test generation, co-simulation, performance evaluation) and is widely used in academia and industry.

La mission de ce postdoctorat est d’effectuer des travaux de recherche originaux en communication quantique. Deux sujets particuliers seront explorés : les preuves de sécurité pour la distribution quantique de clé, et les codes correcteurs d’erreurs pour les communications quantiques et/ou le calcul quantique.

La partie dédiée à la distribution de clé aura pour but d’étudier la sécurité des protocoles à variables continues dans le régime des tailles finies. La partie consacrée aux codes quantiques s’intéressera plus précisément aux codes LDPC quantiques.

La personne recrutée travaillera avec Anthony Leverrier, et pourra collaborer avec le consortium du projet NISQ2LSQ du PEPR sur les technologies quantiques.

The Inria centre at Université Côte d’Azur includes 42 research teams and 9 support services. The center’s staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d’Azur, CNRS, INRAE, INSERM …), but also with the regional economic players.

With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d’Azur  is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.

The Inria center at Université Côte d’Azur includes 42 research teams and 9 support services. The center’s staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d’Azur, CNRS, INRAE, INSERM …), but also with the regional economic players.

With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d’Azur  is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.

Founded in 1880, the Ecole Normale Supérieure de Lyon (www.ens-lyon.fr) is one the most prestigious “Grand Écoles” in France with students selected from the top 5% among all students in the country and among the best students from abroad. The mission of the university is training national and international future professors, researchers, senior civil servants as well as business and political leaders, and to advance research in several disciplines ranging from humanity to natural sciences. 

Established in 1967, Inria (www.inria.fr) is the only public research body in France fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria’s 3,500 researchers strive to invent the digital technologies of the future. Educated at leading international universities, they creatively integrate basic research with applied research and dedicate themselves to solving real problems, collaborating with the main players in public and private research in France and abroad and transferring the fruits of their work to innovative companies.

The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with Paris-Saclay University and with the Institut Polytechnique de Paris .

The centre has 40 project teams , 32 of which operate jointly with Paris-Saclay University and the Institut Polytechnique de Paris; Its activities occupy over 600 people, scientists and research and innovation support staff, including 44 different nationalities.

The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with Paris-Saclay University and with the Institut Polytechnique de Paris .

The centre has 40 project teams , 32 of which operate jointly with Paris-Saclay University and the Institut Polytechnique de Paris; Its activities occupy over 600 people, scientists and research and innovation support staff, including 44 different nationalities.

The postdoctoral fellow will be recruited within the Kepler associated team (see https://team.inria.fr/kopernic/kepler/) between the Kopernic team (Inria Paris) and the STER (Federal University of Bahia). While the postdoctoral position is located in Paris, visits to STER are planned. This position is funded by Inria International Relations Department supporting Inria international collaborations. The postdoctoral contract will have a duration of 12 to 24 months. The default start date is November 1st, 2024 and not later than January, 1st 2025.

Assignment – Candidates for postdoctoral positions are recruited after the end of their Ph.D. or after a first post-doctoral period: for the candidates who obtained their PhD in the Northern hemisphere, the date of the Ph.D. defense shall be later than September 1, 2022; in the Southern hemisphere, later than April 1, 2022. In order to encourage mobility, the postdoctoral position must take place in a scientific environment that is truly different from the one of the Ph.D. (and, if applicable, from the position held since the Ph.D.); particular attention is thus paid to French or international candidates who obtained their doctorate abroad.

More about Paris center and Kopernic team – The Paris Research Center of Inria conducts its scientific activities by developing close partnerships with the best international teams, industry and services. It benefits from rich exchanges with the many scientific and economic players in the Paris region (Grandes Ecoles, prestigious universities, global competitiveness clusters). Members of the Kopernic team study real-time critical systems, using statistical and probabilistic approaches. The results obtained and the team’s skills in the probabilistic study of these systems place it among the leaders in the field of real-time probabilistic systems. The topic proposed below is related to the collaboration of the Kopernic team with colleagues from the Federal University of Bahia (FUB) within the Inria associated team (see https://team.inria.fr/kopernic/kepler/ for more details).

This postdoctoral research position will be carried out in Inria Lyon, funded by the PEPR Networks of the Future programme. The candidate will be hosted within the MARACAS team in the CITI Laboratory, working primarily with Dr. Malcolm Egan. As the PEPR Networks of the Future programme is a national French collaboration, opportunities will be available for interactions with other researchers working in foundations and applications via seminars, workshops, and short-term visits.

The candidate is expected to work on understanding impact of different types of constraints and structures on the performance and design of bandit and RL algorithms.

The project is expected to simulate the existing and new collaborations with researchers and groups working on responsible AI, bandits, and reinforcement learning. The candidate will also be part of the HumAIn alliance that aims toward studying humane impact of deploying AI.

From the application point of view, Scool is involved in multiple projects that incorporates medical data, agricultural data, and e-commerce. Depending on the future development, we will be interested to deploy such responsible AI systems and algorithms for securing such applications.

This postdoctoral research is part of the REAVISE project: “Robust and Efficient Deep Learning based Audiovisual Speech Enhancement” (2023-2026) funded by the French National Research Agency (ANR). The general objective of REAVISE is to develop a unified audio-visual speech enhancement (AVSE) framework. This will leverage recent breakthroughs in statistical signal processing, machine learning, and deep neural networks to create a robust and efficient AVSE system.

This post-doc position takes place within the framework of the PEPR (Priority Research Program and
Equipment) Cybersecurity iPoP (interdisciplinary Project on Privacy) project involving several
internationally recognized French research teams working on data protection, from universities,
engineering schools and national research organizations, as well as the CNIL (French National
Commission on Information Technology and Civil Liberties).

While artificial intelligence is growing at a fast pace, the bulk of the world’s computing power remains targeted at modeling and predicting physical phenomena, such as climate models, weather forecasting, or nuclear physics. These simulations are run on highly parallel supercomputers on which both the hardware and the software are optimized for the task at hand. While the computing power of each processing unit is still increasing, the communication networks and the storage capabilities in these clusters do not follow such fast trends. As a result, computing nodes produce outputs faster than what can be stored or sent to process elsewhere: These simulations are IO-bound.

To reduce the communication burden, a promising venue is in situ computations, meaning that most of the data is processed locally by the nodes, and only meaningful aggregates are stored or sent over the network. However, this is a difficult problem in general since to detect meaningful information for the global simulation, one often needs to detect particular events, requiring non-local information that depends on the other nodes’ output. The goal of this postdoc is to leverage machine learning techniques to bypass IO bottlenecks in the context of physics simulation on high-performance computing (HPC) clusters and help steer them optimally. This work is thus placed in a broader “Machine Learning for Science” context, which aims at using ML to solve key problems arising in traditional sciences. More specifically, we will focus on distributed event detection techniques, which critically inform where the communication and storage budget needs to be spent to retain most of the information.

L’objectif du postdoctorant sera de spécialiser et d’appliquer le système ParcoursVis à l’analyse des parcours de patients pour des pathologies particulières.

ParcoursVis est destiné aux spécialistes de santé (médecins, administrateurs de santé, etc.) et se généralise à plusieurs pathologies. C’est un système de visualisation fonctionnant à partir d’un navigateur standard, ne nécessitant aucune installation logicielle, et qui communique avec un serveur distant, hébergé par le health-data-hub.

The success of supervised machine learning has given rise to a new priority, that of being able to interpret the models learned (explainable artificial intelligence, or XAI). The main directions investigated in XAI for computer vision include: building saliency maps  (for example by exploiting the gradient of the classifier); the identification of relevant sub-concepts for the classes under consideration, based on examples and/or the exploitation of sub-images of labelled images. New approaches based on the exploitation of multimodal embeddings, such as those integrated into CLIP, avoid the main limitations of the above guidelines (see [1] and references therein). However, multimodal embeddings reflect common concepts, which hinders their use in specific domains (ranging from biology to industrial environments) where classes involve rare sub-concepts (e.g., “protists”; “planktonic larvae”). Another challenge is to define *frugal* interpretable classifiers, supporting the interaction with researchers and end-users.

The target applications is the characterization of marine ecosystems from the wealth of data collected within the Inria Challenge OcéanIA [2] (see also https://oceania.inria.cl/). This project involves Inria teams in Chile, Paris, Saclay, and Sophia-Antipolis, and the Fondation Tara Océans, the Center of Mathematical Modeling (CMM, U.Chile), the Pontificia Universidad Católica de Chile (PUC), the GO-SEE CNRS Federation, and the Laboratoire des Sciences du Numérique de Nantes (LS2N).

The Odyssey team is offering  a 18 month  postdoc position on ocean modelling within the ERC Stuod (Stochastic transport in ocean dynamics). Odyssey (for Ocean DYnamicS obSErvation analYsis) is a recently created team involving researchers from Inria (Rennes, France), Ifremer (Brest) and IMT Atlantique (Brest).

Inria is one of the leading research institute in Computer Sciences in France, and Odyssey is also affiliated to the mathematics research institute of the Rennes University (IRMAR).

The team expertise encompasses mathematical (stochastic) and numerical modelling of ocean flows, observational and physical oceanography, data assimilation and machine learning.

Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics, and more specifically to bridge model-driven and observation-driven paradigms to develop and learn novel representations of the coupled ocean-atmosphere dynamics ocean models.

The postdoc position is open in the framework of the AI4scMED (“MultiScale AI for SingleCell-Based Precision Medicine”) consortium (https://ai4scmed.github.io) of PEPR Santé Numérique (project no. 22-PESN-0002) headed by INRIA-INSERM, gathering researchers from different institutions on AI developments for single-cell biology applied to precision medicine.

The position is an opportunity to be involved in a strongly interdisciplinary consortium, and to strengthen experience in mathematical and computational biology by working on the embedding of single cell spatial data within a multiscale modeling framework.

Recent advances in computational mass spectrometry-based metabolomics have unleashed a massive amount of chemical knowledge from metabolomics analysis. Yet, there is a need for a comprehensive computational framework that can better integrate the information derived from both experimental and computational analyses and help chemists analyse their results.

We invite applications for a Postdoctoral Researcher position at the Nice Chemistry Institute (ICN) and the Wimmics team at Inria both hosted at the Université Côte d’Azur. The selected candidate will be jointly embedded and interact with PhD students and research engineers of the Interdisciplinary Institute for Artificial Intelligence (3iA) TechPool, and operates in the context of international collaboration between France and Switzerland. The position is initially offered for one year, with the possibility of extension up to three years.

The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with Paris-Saclay University and with the Institut Polytechnique de Paris .

The centre has 40 project teams , 32 of which operate jointly with Paris-Saclay University and the Institut Polytechnique de Paris; Its activities occupy over 600 people, scientists and research and innovation support staff, including 44 different nationalities.

This research work is part of the European project HORIZON CHIPS JU BRIGHTER (https://project-brighter.eu/), which focuses on the design, implementation, and study of new uncooled infrared detectors with lower thermal time constants called “Fast Pixel” (FP) or spectral functionalization at the pixel level of the detector array  “MultiSpectral Pixel” (MSP). The first prototypes of infrared thermal cameras were developed in 2023 and made available to Inria and Gustave Eiffel University to conduct various R&D works. These prototypes incorporate focal plane microbolometer arrays designed by CEA and LYNRED. The camera prototypes themselves were developed by Xenics (FP) and SENSIA (MSP).

The position is in the framework of dAIEDGE—A network of excellence for distributed, trustworthy, efficient and scalable AI at the Edge—funded by the European Union.

The vision of the dAIEDGE Network of Excellence is to strengthen and support the development of the dynamic European edge AI ecosystem under the umbrella of the European AI Lighthouse and to sustain the advanced research and innovation of distributed AI at the edge as essential digital, enabling, and emerging technology in an extensive range of industrial sectors.

The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with Paris-Saclay University and with the Institut Polytechnique de Paris since 2021.

The centre has 39 project teams , 27 of which operate jointly with Paris-Saclay University and the Institut Polytechnique de Paris. Its activities occupy over 600 scientists and research and innovation support staff, including 54 different nationalities.

This research project is conducted in the framework of the project NOCIME (New Observation and Control Issues Motivated by Epidemiology), funded by the French National Research Agency (ANR) on the period 2024-2026 (three years). We are offering a 2-year position for a young PhD. Contracting may be immediate, and has to be achieved before January 1st, 2025.

NOCIME consortium includes researchers from Inrae (Montpellier), Inria (Paris, Lille, Metz) and IRD (Paris). The researchers in charge of the Working Package related to this position are located in Montpellier (Inrae, Campus de La Gaillarde) and Paris (Sorbonne Université). The postdoctoral supervisors are two senior researchers: Alain Rapaport (Inrae, Montpellier) and Pierre-Alexandre Bliman (Inria, Paris). The postdoctoral fellow will work mainly in Montpellier, with regular trips and contacts in Paris. Other scientific voyages (workshops, conferences) will be scheduled and funded.