1) PhD in “Connecting online musicians and audiences to reduce travels and pollution”
The PhD will focus on the creation of musical interactions in shared augmented/virtual environments, for performance settings. Related topics that may be investigated include music emotion recognition, binaural audio, virtual acoustics and 5G networking.
Required skills:
- M.Sc. degree in computer science, electronics, mathematics, physics, telecommunications or related fields
- programming
- sufficient music knowledge (e.g., proven experience in playing a musical instrument)
- excellent English skills (read, written, and spoken)
- strong self-motivation and independence
Desirable but not strictly necessary skills:
- XR frameworks (unity 3D, unreal, etc.)
- human-computer interaction
- audio digital signal processing
- spatial audio
- machine learning
- networking
- affective computing
- music information retrieval
- 5G slicing
Deadline: 5th of August
Main place of work: Trento (Italy). An abroad period at a company or academic institution is mandatory.
Link to the call (go to page 217): http://old.iusspavia.it/documents/20181/0/Research+Programme+SDC+38/11f9a1cd-2c1f-41e2-a834-475dcf376ef3
The position is sponsored by the new National PhD in Sustainable Development and Climate change. Further information about the National PhD in Sustainable Development and Climate change can be found here: https://www.phd-sdc.it/
2) PhD “Tuning of music information retrieval models via evolutionary computing techniques” at CIMIL – University of Trento
The PhD will focus on the application of evolutionary computing methods for the optimization of machine learning models in different music information retrieval tasks.
Required skills:
- M.Sc. degree in computer science, electronics, mathematics, physics, or related fields
- evolutionary computing
- programming
- machine learning
- audio digital signal processing
- excellent English skills (read, written, and spoken)
- strong self-motivation and independence
Deadline: 8th of August
Main place of work: Trento (Italy). An abroad period at a company or academic institution is mandatory.
Link to the call: https://dottorato.unipi.it/index.php/en/application-process-for-the-academic-year-2022-20232.html
The position is sponsored by the new National PhD in Artificial Intelligence.
3) Industrial PhD “Design of a 5G slice for networked music performances” at company Athonet
The PhD will focus on the design, simulation, and evaluation of a 5G slice for networked music performances in the context of both private and public 5G networks. As mobile networks are developing towards the support of new and augmented ways of interaction (Virtual Reality, Augmented Reality), the corresponding requirements become more and more strict on the communications latency. Indeed, 5G is expected to represent a milestone in such a direction, enabling sub-10ms and 1ms access delay for applications involving human perception or robotic control. Such 5G setup will be implemented in the form of a network slice dedicated to the specific subset of applications requiring very low latency. However, no works in the literature specify the nature and setup of such a network slice.
Required skills:
- M.Sc. degree in telecommunications, computer science, electronics, mathematics, physics, or related fields
- networking
- programming
- excellent English skills (read, written, and spoken)
- strong self-motivation and independence
Deadline: 23rd of August.
Main places of work: Vicenza (Italy), Trento (Italy) and Stockholm (Sweden)
The PhD will be supervised by the team members of Athonet (https://www.athonet.com/) as well as by researchers of the Creative, Intelligent & Multisensory Interactions Laboratory of University of Trento https://www.cimil.disi.unitn.it/
Link to the call (go to page 32): https://www.unitn.it/alfresco/download/workspace/SpacesStore/79c1fd23-ddd2-45ba-8de7-03145f2e16bd/Research_topics_description_PNRR_DM_352.pdf
Further information is available at: https://www.unitn.it/en/phd-nrrp-calls
4) Industrial PhD “Networked music performance system for high numbers of musicians” at company Maestranze Artistiche
The PhD will focus on the creation of a networked music performance system capable of supporting the collaborative music making of large numbers of musicians.
Required skills:
- M.Sc. degree in computer science, electronics, mathematics, physics, or related fields
- Programming
- sufficient music knowledge (e.g., proven experience in playing a musical instrument)
- excellent English skills (read, written, and spoken)
- strong self-motivation and independence
Desirable but not strictly necessary skills:
- knowledge of the JUCE framework
- Web Audio,
- Node.js
Deadline: 23rd of August.
Main place of work: Trento (Italy) and Stockholm (Sweden).
The PhD will be supervised by researchers of the Creative, Intelligent & Multisensory Interactions Laboratory of University of Trento https://www.cimil.disi.unitn.it/
Link to the call (go to page 52): https://www.unitn.it/alfresco/download/workspace/SpacesStore/79c1fd23-ddd2-45ba-8de7-03145f2e16bd/Research_topics_description_PNRR_DM_352.pdf
Further information is available at: https://www.unitn.it/en/phd-nrrp-calls
Expressions of interests for PhD positions (opening in the future)
CIMIL is welcoming expressions of interests for the following positions, if you are interested please email us your CV, including the official transcripts of the master and bachelor degrees with list of the exams and corresponding grades.
1) PhD “Diversity-aware Internet of Musical Things ecosystems” at CIMIL – University of Trento
Main place of work: Trento (Italy)
Description: The PhD will focus on the design, implementation and evaluation of a cloud-based platform for the provision of innovative services to musicians based on Semantic Web and music information retrieval technologies. The platform will support the creation of novel Internet of Musical Things ecosystems that will be aware of the diversity factors of the interacting musicians.
Required skills:
- M.Sc. degree in computer science, electronics, mathematics, physics, or related fields
- programming
- sufficient music knowledge (e.g., proven experience in playing a musical instrument)
- excellent English skills (read, written, and spoken)
- strong self-motivation and independence
Desirable but not strictly necessary skills:
- human-computer interaction
- audio Digital signal processing
- machine learning
- networking
- cloud/edge computing
- Internet of Things
2) Industrial PhD “Real-time acoustic scene analysis for haptic synthesis in gaming” at company GoTouchVR
Main place of work: Lille (France)
The PhD will be supervised by the team members of GoTouchVR as well as by researchers of the Creative, Intelligent & Multisensory Interactions Laboratory of University of Trento https://www.cimil.disi.unitn.it/
Description: The PhD will focus on the implementation of parametric algorithms extracting haptics effects from the audio track of existing videogames. A semantic analysis will be conducted on the audio track in real-time and the extracted information will be used to control the synthesis of haptic effects.
Required skills:
- M.Sc. degree in computer science, electronics, mathematics, physics, or related fields
- digital signal processing
- programming
- machine learning
- excellent English skills (read, written, and spoken)
- strong self-motivation and independence
Expression of interest for postdoctoral positions (opening in the future)
- Postdoc position in Musical Haptics (required skills: knowledge of music and haptic technologies)
- Postdoc position in edge computing applied to Internet of Musical Things scenarios (required skills: knowledge of music and Internet of Things)
- Postdoc position in Music Emotion Recognition (required skills: knowledge of music, music information retrieval, and machine learning)
- Postdoc position in Semantic Web applied to the music domain (required skills: degree in computer science as well as knowledge of programming and artificial intelligence)
- Postdoc position in Brain-Computer Interfaces for musical applications in collaboration with company GTEC (required skills: machine learning)
For further information about the institutions hosting CIMIL and their doctoral programmes please visit the following pages:
