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Third-cycle subject: Speech and music communication
Artificial intelligence (AI) is an especially disruptive technology, impacting a growing number of domains in ways both beneficial and detrimental. It is even showing surprising impacts in the Arts, provoking questions fundamental to philosophy, law, and engineering, not to mention practices in the Arts themselves. The MUSAiC project – an interdisciplinary research venture funded by a 5-year Consolidator Grant from the European Research Council (https://www.kth.se/is/tmh/speech-communication/musaic-music-at-the-frontiers-of-artificial-creativity-and-criticism-1.950539) – will confront several questions and challenges at the frontier of the AI disruption of music.
From 2020-2025, the MUSAiC team will analyze, criticize and fundamentally broaden the AI transformation of three interrelated music practices: 1) listening, 2) composition and performance, and 3) analysis and criticism. Three PhD students are sought for each of these areas, to collaborate with two postdoctoral students and the principal investigator.
The outcomes of MUSAiC will facilitate applications of AI to music in robust and responsible ways, impacting a wide variety of stakeholders. It will not only prepare music practitioners and audiences of the present (human and artificial) for new ways of listening, working, appraising, and developing the art form, but will also pave the way for analyzing, criticizing and broadening the AI transformation of the other Arts.
Supervision: The doctoral student will be supervised by associate professor Bob L. T. Sturm
To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:
To be eligible, applicants must have a master’s degree in one of the following or closely related disciplines: computer science, electrical engineering, and applied mathematics,. Eligible applicants must have demonstrable experience with computer programming and machine learning.
Musical training is not a requirement, but certainly a plus.
After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability.
Target degree: Doctoral degree
Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time.
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Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.
Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/entral European Summer Time).
Applications must include the following elements:
Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | August 2021 |
Salary | Monthly salary according to KTH's doctoral student salary agreement |
Number of positions | 3 |
Full-time equivalent | 100% |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | J-2021-0177 |
Contact |
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Published | 11.Feb.2021 |
Last application date | 06.Apr.2021 |