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Third-cycle subject: Computer Science
This project aims to create generative models of spoken conversation that enable speaking machines to adapt their conversation style over time, in the same natural manner that we humans do. To make this a reality, you will perform self-supervised learning of aspects such as speech patterns, rhythm, and intonation from human dialogues, and use the results to build better, adaptive text-to-speech systems. This represents a new way to integrate text-to-speech technology, dialogue systems, and generative machine learning. By being speaker-agnostic, the approach seeks to do this without propagating existing biases, to create engaging and inclusive human-computer interactions.
Supervision: Dr. Éva Székely (Assistant Professor), Dr. Gustav Eje Henter (Assistant Professor)
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 addition to the above, there is also a mandatory requirement for English equivalent to English B/6.
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:
Other important traits are curiosity, attention to detail, and openness toward interdisciplinary research.
The applicant needs to demonstrate excellent command of deep learning, including strong programming skills in PyTorch or similar. Experience in areas like speech technology, large language models (LLMs), self-supervised learning, and signal processing is also desirable.
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. In the case of studies that are to be completed with a licentiate degree, the total period of employment may not be longer than what corresponds to full-time doctoral education for two years.
Contact information for union representatives.
Contact information for doctoral section.
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/Central European Summer Time).
Applications must include:
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.
The position may include security-sensitive activities. To become authorized, you therefore need to pass a possible security check.
We firmly decline all contact with staffing, recruitment agencies and job ad salespersons.
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 | According to agreement |
Salary | Monthly salary according to KTH's doctoral student salary agreement |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | J-2024-1174 |
Contact |
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Published | 05.Jun.2024 |
Last application date | 16.Sep.2024 11:59 PM CEST |