Doktorand i datavetenskap (HINTS) - Tema D
Core
Developing adaptive and distributed AI models for intelligent environments that learn to represent real-world phenomena from video, audio, and sensor data, focusing on causal, spatial, temporal, and semantic relations.
Role type
PhD researcher (Data Science / AI)
Builds
Production research prototypes and algorithms for context-aware perception and decision-making in immersive digital environments.
Domain
Artificial Intelligence, Machine Learning, Sensor Fusion, Distributed Systems
Deliverable
research
Required skills
Advanced knowledge in AI, Machine Learning, Data Science, Mathematics, Multimodal sensor fusion, Uncertainty-aware learning, Distributed mechanisms for collaborative intelligence
Preferred skills
Master's in Computer Science, AI, ML, IoT, Data mining, Cloud/Edge/Fog computing, C/C++, Python
Technologies
C/C++, Python, Heterogeneous data sources
Responsibilities
Conduct research studies including participation in research projects and doctoral-level courses (min 80%), Collaborate with other research areas and industry partners, Teach and perform other institutional duties (max 20%), Travel regularly to partner meetings and international conferences
Seniority
PhD Candidate (Researcher)
