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.

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.

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 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.

The Inria centre at Université Côte d’Azur includes 37 research teams and 8 support services. The centre’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 regiona 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.

• Laura Broutier’s team (Cell death and childhood cancers team, Center of Research on Cancer of Lyon (CRCL), Inserm, CNRS)
• Eddy Pasquier’s team (REMAP-4Kids, Center of Research on Cancer of Marseille (CRCM), Inserm, CNRS)
• COMPO (Inria and CRCM, Marseille)

The Pl@ntNet team is looking for a post-doc with strong skills in deep learninn, Python development and, ideally, in GeoSpatial data. Pl@ntNet is a citizen observatory of plant biodiversity and a research platform at the crossroads of data science, ecology and artificial intelligence. The Pl@ntNet mobile application is used by tens of millions of users worldwide. 

You will work mainly in the Montpellier Computer Science Laboratory (LIRMM) as a starting researcher at Inria. Inria is a major player in computer science research worldwide; it is the managing organization of the Pl@ntNet consortium.
You will work in a quite unique environment at the forefront of digital technologies for biodiversity management. In particular, you will work in the context of the GUARDEN EU project aimed at mobilizing biodiversity data cubes in conjunction with other environmental data and scenarios, as the basis for models and indicators of past, current and future biodiversity.

You will interact regularly with senior researchers at Inria (Alexis Joly, Lukas Picek) and with the ecologists and engineers involved in Pl@ntNet. 

This position contributes to a European project which involves partners from both industry and academia of various European countries.

The goal of the project include:

1. The promotion or development of design rules and interoperability standards,

• to ensure the interoperability of collaborative heterogeneous assets
• to support secure sharing of resources and exchange of data and information between those systems and platforms for the benefit of the mission execution and performance in systems of systems contexts

• to offer mission system software scalability to speed up integration of new capabilities
• to contribute to the interoperability of mission system execution platforms

 

2. To define functional interfaces of sensors the assessment of questions brought by the implementation of AI technologies, including :

• Using trustable AI-based functions
• European autonomy over AI engineering tools, algorithm libraries and methods enabling the use of AI in military assets

• Compatibility of tools and processes for the development, the validation, the qualification and the certification of AI-driven operational services

The position generally requires working on a state-of-the-art analysis of Artificial Intelligence and related technologies in order to identify appropriate tools and libraries for autonomy.

The postdoc position is open in the framework of two projects led by MUSCA, the OVOPAUSE ANR project and the OVOTOX FC3R project, gathering researchers from different institutions and scientific background (applied mathematics, developmental and reproductive biology, ecotoxicology).

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 coupling of population dynamics models with compartmental pharmacokinetic models.
The contract is expected to start in the beginning of year 2025, from January to March.

This project is based on a collaboration between Scool and a medical team at Inserm/CHU de Lille that have been active for 5 years now.

The scientific goal of this collaboration is to investigate the exploitation of data to improve patient follow-up after surgery. We model this problem as a sequential decision making under uncertainty problem.

This collaboration has already produced interesting results, in the form of a website, presentations in conference, and publications in top machine learning conferences, and top medicine journals.

This collaboration involves about 10 people: data engineer, PhD student, post-doc, researchers, professors.

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.

 Some prior work has addressed making conversational agents more polite, more “playful” and even more flirtatious. But for the most part these attempts have relied on repetitive fixed behaviors that do not adapt to the listener’s behavior. Similarly, other prior work has attempted to give conversational agents a personality, but in many cases – including ChatGPT personas – these attempts seem to rely on old-fashioned or folk theories of personality and, once again, have not developed personality traits that adapt to the interlocutor. 

There is therefore a need for models of interpersonality that can be implemented into embodied conversational agents in order to allow them to optimize their collaboration with their human users by recognizing the user’s conversational style, personality, and behaviors and adapting over the course of one or several conversations.

The work will investigate model-based control of self-adaptive (re-)deployment of distributed applications on the Cloud-Edge infrastructures.

It will contribute to the Tasting project of the PEPR TASE, and more particularly to the objective of “better resilience and flexibility with enhanced digitalization” by making the ICT infrastructures supporting digitalization more flexible, and hence more efficient as well as more resilient.

It will involve cooperation amongst others with our industrial partner RTE.

While Brain-Computer Interfaces (BCI) are promising for many applications, e.g., assistive technologies, human-machine teaming or motor rehabilitation, they are barely used out-of-the-lab due to a poor reliability. Electroencephalographic (EEG) brain signals are indeed very noisy and variable, both between and within users. To address these issues, the French-German Inria-DFKI project NEARBY (« Noise and Variability-free BCI Systems for Out-of-the-lab Use ») proposes to join Inria and DFKI forces to build large-scale multi-centric and open EEG-BCI databases, with controlled noise and variability sources, for BCIs based on motor and speech activity. Building on this data we will then design new Artificial Intelligence algorithms, notably based on Deep Learning (but not only), dedicated to EEG denoising and variability-robust EEG-decoding.

Within the framework of a partnership between Inria and the IFPEN we study the interaction between microbial communities, lithic media, and carbon dioxyde in deep carbon storage sites. These interactions produce biological phenomena that can be beneficial or detrimental, and can play a key role in the efficiency and reliability of carbon capture storage (CCS).

We are developing a common framework for simulating these phenomena, by coupling two existing codes developed at the IFPEN and Inria. The IFPEN provides codes for phenomenological modeling of chemolithotrophy, in the form of coupled autonomous non-linear dynamic systems, that predict biological effects and transformations. Inria provides codes for mechanistic modeling of metabolic exchanges of very large communities, that predict the potential for biofilm formation and the activation of biological functions.

The principal place of work will be the Inria center at the University of Bordeaux, in the offices of the Pleiade project-team.

Travel between Bordeaux, Toulouse, and Reuil-Malmaison may be necessary from time to time, and expenses will be covered within the limits of rates imposed by the Institute.

The postdoc will take place within the framework of the défi Inria LLM4Code, which objectives are to apply machine learning techniques to the automatic generation of code, and in particular for proofs assistants libraries, such as Coq libraries.

The research will be carried out in the LIP laboratory of ENS Lyon under the local supervision of Cyril Cohen, within the CASH team and the remote supervision of Nicolas Tabareau from the GALINETTE team in Nantes. However, there will be frequent meetings, and regular in person meetings, with participants from the other work packages of the LLM4Code project.

Le centre de recherche Inria de Saclay a été créé en 2008. Sa dynamique s’inscrit dans le développement du plateau de Saclay, en partenariat étroit d’une part avec le pôle de l’Université Paris-Saclay et d’autre part avec le pôle de l’Institut Polytechnique de Paris . Afin de construire une politique de site ambitieuse, le centre Inria de Saclay a signé en 2021 des accords stratégiques avec ces deux partenaires territoriaux privilégiés.

Le centre compte 34 équipes-projets , dont 27 sont communes avec l’Université Paris-Saclay (15 équipes) ou l’Institut Polytechnique de Paris (12 équipes). Son action mobilise plus de 600 personnes , scientifiques et personnels d’appui à la recherche et à l’innovation, issues de 54 nationalités.

Le centre accueille également l’Institut DATAIA , dédié aux sciences des données et à leurs

Le centre Inria Saclay – Île-de-France est un acteur essentiel de la recherche en sciences du numérique sur le plateau de Saclay. Il porte les valeurs et les projets qui font l’originalité d’Inria dans le paysage de la recherche : l’excellence scientifique, le transfert technologique, les partenariats pluridisciplinaires avec des établissements aux compétences complémentaires aux nôtres, afin de maximiser l’impact scientifique, économique et sociétal d’Inria.