Responsibilities
- Deliver 64 hours of instruction annually to enhance educational offerings in data science, artificial intelligence, and intelligent interactive systems, covering topics such as machine learning, trustworthy AI, AI-driven decision-making, human-centered AI, data-driven systems, intelligent perception, and explainable AI.
- Support existing courses and potentially create new ones.
- Focus teaching efforts on Master-level programs, aligning with the new ERASMUS MUNDUS European Master in Sustainable Systems Engineering involving partners in Italy, Spain, and Albania.
- Contribute to the university's computer science engineering program for both initial training and alternating training with companies.
- Join the Heudiasyc laboratory and engage with one or more of its scientific research axes.
- Support the project's partnerships and development strategy.
- Participate in implementing the university's Sustainable Development and Social and Environmental Responsibility Master Plan.
Work Arrangement
On-site — Compiègne, France
Other
- Language requirements: Proficiency in English.
- The recruited candidate will be expected to: Work collaboratively and contribute to the scientific coordination and animation of the CAP initiative; Show interest in technological research and industrial partnerships; Demonstrate proficiency in English; Disseminate research results through publications and other forms of valorization; Teach diverse student audiences.
- A PhD degree is not required at the time of application, but it will be required following the interview.
