PhD Position : Geometric optimal control for generative models of physical systems – AI4I

The Italian Institute of Artificial Intelligence for Industry (AI4I); Piemonte; In loco; EUR 20.000; Tempo pieno

Descrizione del lavoro

A leading institute for AI research in Italy is offering a fully funded doctorate grant focused on Autonomous Systems. Candidates must possess an excellent Master's degree in a relevant field and strong skills in machine learning and robotics, along with good programming skills in Python. The position offers a scholarship amount of €19,500 per year and requires fluency in English.

Servizi

Fully funded doctorate grant

€19,500 annual scholarship

Competenze

• Must have an excellent Master’s degree in a relevant field.
• Strong background in machine learning and robotics is essential.
• Good programming skills in Python are required.
• Fluency in spoken and written English is a must.
• The candidate should be a team player but also able to work autonomously.
• Experience with scientific writing is advantageous.

Conoscenze

Excellent Master’s degree in computer science

Strong background in machine learning

Good programming skills in Python

Fluent in spoken and written English

Team player and autonomous

Experience with scientific writing

Formazione

Master’s degree in computer science, physics, mathematics, electrical or mechatronics engineering

Descrizione del lavoro

Deadline

December 17th 2025 at 12 (noon – CET)

Curriculum

Autonomous Systems(CODE 11658), Topic number 2

Hosting Institution

AI4I – The Italian Institute of Artificial Intelligence

Department

PHI Lab

Supervisor

Leonel Rozo

Funding Scheme

This doctorate grant is fully funded by The Italian institute of Artificial Intelligence (AI4I) in collaboration with Università degli Studi di Genova

Scholarship Amount

Fascia 4 : 19,500 € / year

Position Description

Requirements

Must have skills :

• Excellent Master’s degree in computer science, physics, mathematics, electrical or mechatronics engineering,or a related field
• Strong background in machine learning and robotics
• Good programming skills in Python
• Fluent in spoken and written English
• A team player, but also can work autonomously
• Experience with scientific writing

Good to have skills :

• Background on (applied) differential geometry
• Publication of peer-reviewed research papers

References

• H. Ziesche and L. Rozo, “Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies”, NeurIPS, 2023.
• A. Testa et al. “Geometric