Researcher - DeepRAP Challenge
Core
Co-develop a scientific narrative and technical approach for a 30-page EU-funded Pathfinder proposal focused on trustworthy cognitive AI, causal reasoning, abstraction, and planning under uncertainty.
Role type
Researcher (DeepRAP Challenge)
Builds
A working system (TRL3/4) and new industry benchmarks for reasoning and trustworthiness
Domain
Cognitive AI, neuro-symbolic AI, causal inference, deep RL/planning
Deliverable
production ML models | research
Required skills
neuro-symbolic AI, causal inference, cognitive architectures, deep RL/planning, rigorous evaluation design
Preferred skills
experience working with startup teams, iterative development
Technologies
N/A
Responsibilities
Co-develop scientific narrative and technical approach for a 30-page Pathfinder proposal, bring rigor on reasoning/abstraction/planning methodology, related work, and evaluation design, work directly with the founding team through submission
Seniority
PhD level (in progress or completed)
