RESEARCH PROFILE

The candidate will join the Laboratory of Computer Science, Modeling and Systems Optimization (LIMOS, UMR CNRS 6158, https://limos.fr). Without excluding quality applications in one of the laboratory's axes, the profile sought concerns in priority the DSI theme (Data, Services, Intelligence, https://limos.fr/themes/3) of LIMOS.
The work of the DSI theme focuses on three interdependent issues

    Management of large masses of data (big data).
    Knowledge extraction, artificial learning, data science.
    Analysis, verification, testing of applications, web services and business processes.

The recruited candidate will reinforce the activities of LIMOS within the I-Site CAP 20-25 program (https://cap2025.fr) financed by the ANR (16-IDEX-0001 CAP 20-25), and in particular the Challenge "Innovative systems and services for transport and production" (themes "Factory of the future
"and "Systems and services for innovative mobility" of the Labex IMobS3).

The quality of the application will be an essential element in the assessment of the research profile.
External applications are strongly encouraged.


TEACHING PROFILE

ISIMA (Institut Supérieur d'Informatique, de Modélisation et de leurs Applications) is a major engineering school in Computer Science of Clermont Auvergne INP, a component institution of the University of Clermont Auvergne and a member of the INP group. The ISIMA groups together the training courses for the engineering degree in computer science (about 430 students), the master's degree in computer science (about 150 students) and the bachelor's degree in computer science (about 350 students).

The candidate will be part of the ISIMA teaching team, which is made up of approximately 45 teachers and teacher-researchers. The candidate will be expected to participate in the collective tasks and missions of general interest of the school.

The candidate will be likely to intervene on all ISIMA's diplomas (bachelor, master and engineering diplomas). The teaching needs mainly concern databases, big data management, artificial intelligence and machine learning.

External applications are strongly encouraged.

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