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Third-cycle subject: Computer Science, Speech and Music Communication
(1) Develop new, better deep learning based speech synthesis (text-to-speech) that can handle reading aloud long and information rich texts. Explore new methods in all steps of the process of training Swedish speech synthesis, based on professionally read texts. You will work closely with both industry and the research front, and have the opportunity to test the results in real-world situations. Method development, new evaluation strategies, and methods to adapt the synthesis to different reading styles and listener requirements are also included.
(2) Develop Swedish deep learning based automatic speech recognition (speech-to-text) that can handle long and complex recordings from Swedish media archives. Use new methods on real-world tasks. You will work in close proximity to large Swedish culture institutions and with researchers on the research frontier. Innovative methods for evaluation as well as human-in-the-loop methods are also included.
(3) New methods for audiovisual and multimodal analysis. The area combines deep learning with signal processing and and scienctific fields such as psychology, cognitive science and phonetics.
The tasks are executed both in large, well-known open source frameworks, and in locally developed environments. Collaboration with other research teams is common. The work does not stop at engineering, but extends into studies of how the technology is perceived and utilized by people.
Supervision: The doctoral student will be placed at KTH and supervised by Jens Edlund
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:
Experience in the following fields, among others, is considered a merit: speech synthesis, speech recognition, speech technology, machine learning, phonetics, signal processing. Insights into spoken language and language use on all levels are also very valuable.
A good command of spoken and written English is a requirement. Knowledge of Swedish is a plus, as a part of the work includes processing the Swedish language.
After the qualification requirements, great emphasis will be placed on personal competency.
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.
You will find contact information for union representatives on KTH's website.
You will find contact information for doctoral section on the section's website.
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.
For information about processing of personal data in the recruitment process please read here.
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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 | As soon as possible |
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-2021-1162 |
Contact |
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Published | 13.May.2021 |
Last application date | 15.Jun.2021 11:59 PM CEST |