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://phd.fbk.eu/calls/detail/generative-vision-models-for-robot-learning/ Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Additional Information Work Location(s) Number of offers
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specific focus on symbolic model checking methods using satisfiability and satisfiability modulo theories solvers as symbolic reasoning engines. Importantly, in addition to researching novel theoretical
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within a Research Infrastructure? No Offer Description Despite the success of large-scale pre-training, Vision-Language-Action (VLA) models often exhibit limited generalization when deployed in novel
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within a Research Infrastructure? No Offer Description The rise of multimodal large language models (MLLMs) is transforming language, speech, and vision technologies, enabling unprecedented capabilities in
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within a Research Infrastructure? No Offer Description This PhD project aims to adapt Speech Large Language Models (SLLMs) for use with clinical speech. Most current SLLMs are trained on typical speech, so
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the effectiveness of the adopted mitigation measures. Model-Based Safety Analysis (MBSA) is listed as an acceptable and recommended means of compliance to perform safety assessment in the latest issue of SAE ARP4761A
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efficient and scalable artificial intelligence at the edge. TinyML and Edge AI have demonstrated the feasibility of embedding machine learning models on such devices. Still, many challenges are ahead
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within a Research Infrastructure? No Offer Description Urban Digital Twins (UDTs) are dynamic digital representations of cities, integrating heterogeneous data sources and advanced modelling techniques
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within a Research Infrastructure? No Offer Description The successful PhD candidate will do research on Large Language and Reasoning Models (LLMs/LRMs), with a focus on interpretability and steerability
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will focus on the design and implementation of advanced models for data enhancement, denoising, semantic segmentation, content-based retrieval, target detection, multitemporal analysis, and radar mapping