Machine Learning Research Scientist

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/77xnlt

About Dynamic Optics:
Dynamic Optics is a CNR-IFN spin-off and technology leader in adaptive optics, specialising in measuring, analysing, and correcting the optical behaviour of real-world lenses. Based in Padova and backed by Officina Stellare SpA — an Italian leader in advanced optical instrumentation for space — Dynamic Optics combines academic novelty with industrial-grade engineering and real-world deployment.
We are at the centre of a pioneering deep-tech project, co-funded by the European Union, at the intersection of cinematography, optical engineering, imaging science, and machine learning. Its mission is to digitise the optical behaviour of real professional cinema lenses, enabling precise measurement, simulation, and creative manipulation of characteristics such as distortion, aberration, flare, bokeh, and depth of field. By combining advanced optical engineering, computational imaging, and AI-driven modelling, the project creates high-accuracy digital lens twins — bridging physical cinematography with digital image generation and unlocking new capabilities for VFX,



virtual production, CGI rendering, and generative AI.
With EU funding now secured, we are moving from a funded research action towards commercial deployment , and are building the team that will take this technology to the global audiovisual market.

The Role:
We are seeking a Machine Learning Research Scientist to drive the project’s foundational research into physics-guided, optical-system machine learning.
Your work will focus on developing new ML formulations, models, and experimental approaches for modelling optical behaviour — including PSF fields, aberrations, flare and ghosting behaviour, wave-optics approximations, and other lens-driven effects.
You will work at the research core of the optical modelling pipeline, designing algorithms that push the boundaries of optical ML and computational imaging.

Key Responsabilities:
Foundational research and model development
● Investigate and

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/77xnlt