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from Wed, 11/19/2025

HfMT scholarship holders of the special STIP program on artificial intelligence

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White HfMT logo on an ochre-colored background

Since 2024, the STIP special programs on artificial intelligence have been advertised (STIP-4 and STIP-5). The HfMT is delighted that a fifth of its doctoral students, alumni and alumnae are working and researching in these future-oriented programs.

The rapid development of artificial intelligence (AI) is rapidly changing the production of text, image and sound. Artists in the fields of composition, performance and sound art are now increasingly focusing on these tools in their experimental use of AI. The STIP jury's task was to evaluate various approaches to artistic-musical research and interpretation in the field of AI-based music composition for the new Music Fund scholarship program on AI.

The 10 2024 scholarship holders include Alexander Schubert and Xiao Fu
The 15 2025 scholarship holders include Dong Zhou, Eveline Vervliet and Genoël von Lilienstern

Short biographies:

Alexander Schubert is a German composer whose work is situated between new music, electronic media, performance and interactive technologies. He is one of the most influential international voices of a digital-hybrid compositional practice and often works with sensor technology, live electronics and interactive systems. Schubert is Professor of Multimedia Composition at the HfMT, where he plays a key role in shaping the artistic-technological orientation of the course. At the HfMT, he develops new formats between music, technology and performative art and supervises numerous international students.

Xiao Fu is a Chinese multimedia composer whose works are created at the interface of new music, electronics, dance, visual media and artificial intelligence. She studied and received her doctorate in composition at the HfMT Hamburg, where she is still closely involved artistically and organizationally.
As co-founder of various transmedia projects and curator of international formats, she combines artistic practice with research and technological innovation. She is regularly involved in teaching, artistic development projects and interdisciplinary collaborations at the HfMT.
Her works are presented worldwide and often deal with physicality, inclusion, gesture interaction and AI-supported performances.

Dong Zhou is a Chinese composer and sound artist whose work straddles new music, electroacoustic composition, performance and multimedia installations. Her artistic practice combines technological processes with poetic and socially reflective issues. Zhou studied composition at the HfMT Hamburg, where she came into contact with the local contemporary music and multimedia scene. To this day, she is closely associated with the HfMT through artistic collaborations, projects and a teaching position. Her works are performed internationally and are characterized by a clear aesthetic signature and interdisciplinary openness.

Eveline Vervliet is a Belgian singer, performer and composer whose work is situated between New Music, vocal art, theater and electronic media. Her artistic profile is characterized by experimental vocal techniques, interdisciplinary collaborations and performative formats.
Vervliet studied for a master's degree in multimedia composition at the HfMT Hamburg, where she received decisive impulses for the combination of technology and scenic practice. Even after graduating, she remains closely associated with the HfMT through her work at the ligeti zentrum.
Her works are presented internationally and operate at the interface of body, voice, media and contemporary music.

Genoël von Lilienstern is a German composer whose work is characterized by a close interlocking of sound, technology and experimental playing practices. As a doctoral student at the HfMT Hamburg, he conducts artistic and scientific research in the field of new music and multimedia; at the same time, he is actively involved in the Berlin scene. His works are presented internationally and stand for a reflected, often conceptually oriented sound language.

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