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"Senior Lecturer - Data Processing, Analysis, and Human Behavior"

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Senior Lecturer - Data Processing, Analysis, and Human Behavior

Senior Lecturer - Data Processing, Analysis, and Human Behavior

Location: Grenoble, France

Published: 2026-03-11

Application deadline: 2026-04-02 16:00 (Europe/Paris)

Euraxess research field: Informatics, Modelling tools, other

Contacts

For more information:

Pour la composante : UFR SHS
Mme Vasiliki Markaki-Lothe, directrice de l’UFR SHS
shs-direction@univ-grenoble-alpes.fr
Pour le laboratoire : LIG
M. Noël De Palma, directeur du LIG
noel.depalma@univ-grenoble-alpes.fr

Expected skills:

Applicants must show a strong interest in teaching as well as a high-level scientific record in accordance with UGA’s ambitions and standard. They must identify with UGA’s values, that is, being open to the world, emphasizing ethics and scientific integrity, showing an interest in teamwork and being committed to the community. They should also have a sense of responsibility, in particular with regard to environmental and social issues.

Context and educational objectives:

Educational expectations

The successful candidate will join the MIASHS department of UFR SHS and teach Computer Sciences at all levels: both the Bachelor’s degree in MIASHS and MIASHS Master's degree pluridisciplinary training programs.

Solid experience in core computer science courses (programming, algorithms, databases, software engineering, systems, networks, etc.), with a beneficial interest on Artificial Intelligence topics (Machine Learning, Deep Learning, Semantic Web, etc.) is expected.

The successful candidate will play a central role in bridging technical skills with critical reflection on uses, social impacts, and ethical issues and will strengthen the conception and management of innovative training programs in collaboration with professional partners and in coordination with other departments of UFR SHS as well as other faculties of the institution.

The successful candidate will also assume significant management responsibilities at various levels: Bachelor’s, Master’s, MIASHS department.

Research project and scientific impact:

The Grenoble Computer Science Laboratory (LIG - UMR 5217 ZRR) is seeking outstanding candidates to strengthen its research in the modeling, simulation, perception, analysis, and prediction of human behavior. The goal is to be able to analyze, or even predict, behaviors or uses, potentially in real time and at different scales (individual or collective) in various contexts (e.g., to assist in crisis management, human/robot collaboration, AI-based learning, etc.). Applicants may conduct their research in one or more of the following areas:

  • Modeling, simulation, or prediction of human behavior,
  • Multimodal perception,
  • Data analysis/processing at different scales, possibly in real time,
  • Knowledge model, explainability
  • Human/Robot Collaboration
  • Agentic AI

The successful candidate will join one of LIG’s teams in one of the following areas: CIS or SIDCH. They must have a high-level research activity and be able to develop international collaborations in the long term. Details of the research areas and teams can be found on the page: https://www.liglab.fr/en/research/research-teams.

Information for candidates:

  • Université Grenoble Alpes recruits on the basis of skills and makes use of all talents. It encourages applicants with disabilities to apply for teaching and research positions.
  • Senior lecturers and professors are required to reside at the place where they perform their duties (Art. 5 of Decree No. 84-431 of June 6, 1984).
  • HRS4R certified and committed to an OTM-R (Open, Transparent, and Merit-based Recruitment) approach, the University of Grenoble Alpes recruits on the merits of candidates and in accordance with a transparent procedure.

Job details

Title: Senior Lecturer - Data Processing, Analysis, and Human Behavior

Employer: Université Grenoble Alpes

Location: 621 avenue Centrale Grenoble, France

Job type: Lecturer / Senior Lecturer

Field: Artificial Intelligence, Human-computer Interaction, Machine Learning, Data Mining

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