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Project description
Face-to-face conversation is our most fundamental where non-verbal signals such as prosody, head movements, glances, facial expressions, gestures are essential for the conversation to be successful. The PhD work will be conducted in the scope of the project called Advanced Adaptive Intelligent Systems https://www.digitalfutures.kth.se/en/forskningsprojekt, which is part of KTH Digital Futures. With a total annual budget of 10 M EUR it aims to establish northern Europe's largest research environment for technologies of the future for digitalization. In the project six PhDs and postdocs will develop social robots and conversational AI agents that can understand human communicative behavior and adapt their behaviours accordingly.
You will be part of TMH https://www.kth.se/tmh a dynamic research group in machine learning for human speech and gestures, and for conversational AI and social robots, to which we will add to ten new PhD students in 2020. You will work with the latest methods in machine learning to model adaptive verbal and non-verbal behaviours in human-AI interaction. We are currently looking for PhD students with two specializations:
In application, indicate which specialization you are interested in
Third-cycle subject: Computer science or speech and language technology
Supervision: The doctoral student will be supervised by Joakim Gustafson or Jonas Beskow
What we offer
Eligibility
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:
Selection
In order to succeed as 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 openness toward interdisciplinary research, creativity and a structured approach.
Good command of spoken and written English is required. Expertise in machine learning/deep learning and good programming skills are strongly desirable. Experience and interest in areas like speech technology, signal processing, robotics, computer graphics/animation, AR/VR, natural language processing, linguistics, perception is also considered as asset.
After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability.
Target degree: Doctoral degree
Information regarding admission and employment
Only those admitted to postgraduate education may be employed as doctoral student. 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 limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as doctoral student is for maximum of one year, and then the employment may be renewed for a maximum of two years at a time.
Union representatives
Contact information union: KTH's website
Application
Apply for position and admission through KTH's recruitment system. It is applicant’s responsibility to ensure that the application is complete in accordance with the instructions in 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:
Other information
Gender equality,diversity and zero tolerance against discrimination and harassment are important aspects of KTH's work with quality and core values in our organization.
For information about processing of personal data in recruitment process please read here
We decline contact with staffing recruitment agencies, jobad salespersons
In case of discrepancy between Swedish original and English translation of job announcement, Swedish version takes precedence
Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | As agreed |
Salary | Monthly salary according to KTH's doctoral student salary agreement |
Number of positions | 2 |
Full-time equivalent | 100% |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | J-2020-1298 |
Contact |
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Published | 11.Jun.2020 |
Last application date | 02.Aug.2020 |