𝗢𝗽𝗲𝗻𝗶𝗻𝗴 𝘀𝗼𝗼𝗻: 𝗣𝗵𝗗 𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻 𝗶𝗻 𝗫𝗥 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗳𝗼𝗿 𝗺𝘂𝘀𝗶𝗰
The CIMIL - Creative, Intelligent & Multisensory Interactions Laboratory is welcoming expressions of interest for a PhD position in XR technologies for music. We are seeking a motivated PhD candidate interested in working as part of the MUSMET - Musical Metaverse made in Europe project (
www.musmet.eu) at the University of Trento, contributing to the development of XR systems for musical interaction within a large-scale European consortium, from industry to academia.
𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗳𝗼𝗰𝘂𝘀
The candidate will work on the design and implementation of Mixed Reality platforms supporting real-time multi-user musical interaction, with particular relevance to Mixed Reality scenarios where musicians perform with real instruments and audiences engage simultaneously across physical and virtual spaces.
A key area of exploration will be the use of generative AI for 3D content to enable dynamic environment and avatar generation within networked immersive platforms.
𝗖𝗮𝗻𝗱𝗶𝗱𝗮𝘁𝗲 𝗣𝗿𝗼𝗳𝗶𝗹𝗲
Successful candidates will have hands-on experience in building VR, MR, or AR applications (with at least one demonstrable project in game engines such as Unity) and a strong passion for the field.
A master's degree in computer science or related fields is required.
Interest in computer vision, and/or generative AI for 3D content is highly valued.
Interest in music and music technology is a plus but not a requirement.
𝗣𝗹𝗮𝗰𝗲 𝗼𝗳 𝘄𝗼𝗿𝗸, 𝘀𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝗱𝗮𝘁𝗲 𝗮𝗻𝗱 𝘀𝗮𝗹𝗮𝗿𝘆
The place of work is the Department of Information Engineering and Computer Science of University of Trento, Italy. Full-time remote work is not possible, physical presence at the lab is a requirement. The starting date is the 1st of November 2026.
The duration of the contract is 3 years, with a net salary of 1.600 EUR per month. An abroad period of at least 3 months is mandatory for the PhD programme, with a salary increased by 50% in those months.
To express your interest in the position please send a CV and a short motivation letter to 𝗹𝘂𝗰𝗮.𝘁𝘂𝗿𝗰𝗵𝗲𝘁@𝘂𝗻𝗶𝘁𝗻.𝗶𝘁