Postdoctoral Position in Multimodal and Generative AI for Physical and Natural Sciences
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.
