[iva] Fully Funded PhD positions in machine learning for conversational AI, KTH Royal Institute of Technology

[Joakim Gustafsson]

Sorry I missed th link at the end, would it be possible to add this link at the end before posting

https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:339159/type:job/where:4/apply:1​


/joakim


________________________________
Från: Joakim Gustafsson
Skickat: den 13 juli 2020 10:35
Till: iva-list at lists.uni-bielefeld.de
Ämne: Fully Funded PhD positions in machine learning for conversational AI, KTH Royal Institute of Technology


Fully Funded PhD positions in machine learning for conversational AI, KTH Royal Institute of Technology



The School of Electrical Engineering and Computer Science (EECS) at the KTH Royal Institute of Technology announces two Ph.D positions in machine learning for conversational AI at the division of Speech, Music, and Hearing (TMH).



ABOUT KTH



KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key center of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy.



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 (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:



- Generation of spontaneous speech for conversational AI, focus on Natural Language Processing (e.g. text style transfer and end-to-end generation)



- Situationally Adaptive Speech and Communication, focus on multimodal signal generation (e.g. normalizing flows and neural vocoders)



In application, indicate which specialization you are interested in

Supervision: The doctoral student will be supervised by Joakim Gustafson or Jonas Beskow



The starting date for the positions is flexible, but preferably during the fall of 2020.



What we offer

- Workplace that focus on working conditions, gender equality, diversity, study environment

- A monthly salary of around 3.000 EUR, and benefits such as 6 weeks paid vacation, health insurance, paid parental leave and occupational pensions.



QUALIFICATIONS

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 work both independently and to collaborate with others. Other important traits are openness toward interdisciplinary research, creativity and a structured approach.

The candidate must have a degree in Computer Science or related fields. 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.



HOW TO APPLY



The application should include:



1. Curriculum vitae.

2. Transcripts from University/College.

3. Brief description of why the applicant wishes to become a doctoral student.



The application documents should be uploaded using the KTH's recruitment system. More information here:





The application deadline is ** August 2, 2020 **



-----------------
Joakim Gustafson
Professor, Head of Division, Co-head of Department
KTH Royal Institute of Technology
School of Electrical Engineering and Computer Science
Department of Intelligent Systems

Division of Speech, Music and Hearing (TMH)

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