This PhD project investigates methods to improve the robustness and compliance of multi-modal AI systems for environmental pollution sciences. It focuses on robustness to distribution shifts, degraded inputs, and out-of-distribution conditions, while also addressing uncertainty quantification, explainability, fairness, and support for human oversight in heterogeneous environmental settings.
We welcome motivated applicants who are passionate about research, eager to learn, and driven by curiosity to explore new ideas.
At FBK, our PhD program is designed to develop highly specialized researchers in a unique, stimulating environment
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National and international companies and universities
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