Postdoctoral Position in Multimodal and Generative AI for Physical and Natural Sciences Istituto Italiano di Tecnologia in Italy

AI Research PostDoc opportunity in Italy at the Istituto Italiano di Tecnologia (IIT), within the Artificial Intelligence for Good (AIGO) research line led by Vittorio Murino.

This opening is for a postdoctoral researcher to work in an interdisciplinary, international environment on AI for physical and natural sciences. The research themes include multimodal learning, generative AI, and hybrid models that combine machine learning with physical laws. Application areas mentioned in the post include physics, chemistry, materials science, neuroscience, and forecasting.

Typical responsibilities include conducting independent and collaborative research, supervising PhD students, publishing in top conferences and journals, and contributing to grant proposals and research funding. The ideal candidate has a PhD in ML, AI, Computer Science, Physics, Engineering, or a related field, with strong experience in deep learning, GANs, diffusion models, Transformers, Python, and frameworks such as PyTorch or TensorFlow. Experience with multimodal learning, domain adaptation, scientific AI, GNNs, neural rendering, large AI models, or HPC deployment is a plus.

Funding is provided as a 12-month renewable postdoc contract with a gross annual salary of €35K–€45K plus possible bonus. Additional benefits include health coverage, flexible hours, staff discounts, and possible tax advantages for eligible international candidates.

The deadline shown in the post is 2026-05-31. Applications should be submitted through the linked job page.