Marcella Cornia
4 months ago
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PhD Opportunities in Multimodal AI at AImageLab UNIMORE & ELLIS Unit Modena Università degli Studi di Modena e Reggio Emilia in Italy
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded three-year PhD positions. The post also mentions international collaborations and research visits, opportunities for internships abroad, access to large-scale compute resources, and a strong network across academia and industry.
Deadline
Expired
Country
Italy
University
University of Modena and Reggio Emilia

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About this position
PhD opportunities in Multimodal AI are available at AImageLab, Università degli Studi di Modena e Reggio Emilia (UNIMORE) / ELLIS Unit Modena.
The positions focus on cutting-edge research in multimodal AI, with possible directions including multimodal LLMs, image and video generation, AI safety and trustworthiness, vision-language-action (VLA) systems and world models, and document understanding and agentic AI. The post also highlights collaborations with AMD Silo AI and Baker Hughes, plus involvement in major European initiatives such as ELLIOT, ELIAS, and MINERVA.
These are fully funded three-year PhD positions in an international research environment with strong academic and industrial links. Benefits mentioned include research visits, internships abroad, access to large-scale compute resources, and a broad network across academia and industry.
Applicants are especially encouraged if they have a background in computer science, machine learning, computer vision, NLP, robotics, or related fields. Strong programming skills and experience with deep learning frameworks are highly desirable.
The team is currently collecting expressions of interest via the linked form. The selection process begins in summer 2026, and the positions are scheduled to start on November 1, 2026.
Funding details
Fully funded three-year PhD positions. The post also mentions international collaborations and research visits, opportunities for internships abroad, access to large-scale compute resources, and a strong network across academia and industry.
What's required
Applicants should be highly motivated PhD candidates with a strong background in computer science, machine learning, computer vision, NLP, robotics, or related areas. Excellent programming skills and prior experience with deep learning frameworks are highly desirable. The post emphasizes interest in multimodal AI research directions and suitability for an international, collaborative research environment.
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