2-year Postdoc / 3-year PhD in learning for planning and scheduling

[Sylvie Thiebaux]

The following postdoc or PhD position is available at LAAS-CNRS.

Hybrid methods (combining learning with search and reasoning) for planning & scheduling.

Topics of interest include:
* learning search guidance or policies for planning and scheduling
* open world planning
* learning for plan and schedule optimisation
* decision-focused learning for planning and scheduling
* learning hierarchical world models for long-term planning and scheduling

The position is funded by ANITI, which is one of the 9 French AI clusters.

Details of the position and how to apply: see here
Applications open until: 17/07/26
Location: LAAS-CNRS, Toulouse, France
Contract duration: 2 years (postdoc) or 3 years (PhD)
Position is expected to begin: ideally in October 2026 and no later than December 2026
Supervisors: Sylvie Thiebaux and Arthur Bit-Monnot