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PhD Position on Geometry and Physics-Based Inductive Bias for Robust and Explainable Foundation[...]

AI4I

Collegno

In loco

EUR 50.000 - 70.000

Tempo pieno

Oggi
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Descrizione del lavoro

A leading research institute in Artificial Intelligence is seeking applications for a fully funded PhD position focused on Geometry and Physics-Based Inductive Bias for Robust and Explainable Foundational Models. The successful candidate will have a strong background in machine learning, excellent programming skills in Python, and will work on innovative models that leverage differential geometry for perception-action interactions. This role will begin on March 1, 2026, in a dynamic research environment.

Servizi

Access to high-performance computing resources
Opportunities for international collaboration
Financial support for attending international conferences

Competenze

  • Must possess a strong background in machine learning and robotics.
  • Must have excellent programming skills in Python.
  • Experience with scientific writing is essential.

Mansioni

  • Study properties of Riemannian embeddings in large multimodal models.
  • Design geometry-, physics- and control-based attention mechanisms.
  • Apply developed methods to general foundational models and robotics.

Conoscenze

Excellent Master’s degree in computer science, physics, mathematics, electrical or mechatronics engineering
Strong background in machine learning and robotics
Good programming skills in Python
Fluent in spoken and written English
Experience with scientific writing

Formazione

Master's degree
Descrizione del lavoro
PhD Position on Geometry and Physics-Based Inductive Bias for Robust and Explainable Foundational Models

Join to apply for the PhD Position on Geometry and Physics-Based Inductive Bias for Robust and Explainable Foundational Models role at AI4I.

Deadline

December 17th 2025 at 12 (noon – CET)

Hosting Institution

AI4I – The Italian Institute of Artificial Intelligence

Department

PHI Lab

Funding Scheme

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

Position Description

The Italian Institute of Artificial Intelligence (AI4I), in collaboration with Università degli Studi di Genova, invites applications for a PhD position in Geometry and physics-based inductive bias as part of the PhD Programme in Hostile and Unstructured Environments.

Recent research highlights the promising potential of geometry-aware and physics-informed attention mechanisms, as well as the power of differential geometry in the analysis and refinement of foundational models. In this PhD thesis, we will study the properties of Riemannian embeddings in large multimodal models, and the role of different curvatures for accommodating and associating inter-connected tokens. We will design geometry-, physics- and control-based attention mechanisms to capture complex underlying perception-action interactions. These advancements may help develop new models that leverage physics-aware and curved spaces to better abstract and disentangle the information coming from multimodal perception systems in foundational models. The developed methods will be applied to general foundational models, vision-action large models for robotics, among others.

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
  • A. Testa et al. “Geometric Contact Flows: Contactomorphisms for Dynamics and Control”, ICML, 2025.
  • N. He, et al. “Beyond Euclidean: Foundation Models Should Embrace Non-Euclidean Geometries”, arXiv, 2025.
  • H. Ding et al. “Fast and Robust Visuomotor Riemannian Flow Matching Policy”, Transactions on Robotics, 2025.
Number of Positions Available

1

Application Documents
  • One-page cover letter including a short (two-paragraph) research proposal related to the PhD topic and aligned with your professional interests.
  • Bachelor’s and Master’s diplomas with transcripts and grades.
Main Research Site

AI4I – The Italian Institute of Artificial Intelligence

What We Offer
  • Access to high-performance computing resources and advanced research infrastructure.
  • Opportunities for international collaboration and contributions to high-impact publications.
  • A dynamic and interdisciplinary research environment.
  • Financial support for attending international conferences and Winter/Summer schools.
Start Date

1st March 2026

How to Apply

Please apply via the university’s official PhD admissions portal.

For More Information

https://drim.i-rim.it/en/admission/

About AI4I

AI4I – The Italian Research Institute for Artificial Intelligence has been founded to perform transformative, application-oriented research in Artificial Intelligence.

AI4I is set to engage and empower gifted, entrepreneurial, young researchers who commit to producing an impact at the intersection of science, innovation, and industrial transformation.

Highly competitive pay, bonus incentives, access to dedicated high-performance computing, state-of-the-art laboratories, industrial collaborations, and an ecosystem tailored to support the initiation and growth of startups stand out as some of the distinctive features of AI4I, bringing together people in a dynamic international environment.

AI4I is an Institute that aims to enhance scientific research, technological transfer, and, more generally, the innovation capacity of the Country, promoting its positive impact on industry, services, and public administration. To this end, the Institute contributes to creating a research and innovation infrastructure that employs artificial intelligence methods, with particular reference to manufacturing processes, within the framework of the Industry 4.0 process and its entire value chain. The Institute establishes relationships with similar entities and organizations in Italy and abroad, including Competence Centers and European Digital Innovation Hubs (EDIHs), so that the center may become an attractive place for researchers, companies, and start-ups.

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