Post Doc in Predictive Modelling for Conversational AI

Royal Institute of Technology

Postdoc in Predictive modelling for Conversational AI

KTH, School of Electrical Engineering and Computer Science

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 centre 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 architecture, industrial management, urban planning, history and philosophy.

Job description

We are seeking a Postdoc for the project “Prediction and Coordination for Conversational AI”, led by Prof. Gabriel Skantze at KTH Royal Institute of Technology in Stockholm, Sweden. The project is part of our larger goal of developing systems, such as social robots, that can engage in spoken interaction with humans in the same natural way we interact with each other. In the project we use data of spoken interaction between humans and explore models that can make predictions about the speakers’ future behavior, including what they will say and when they will speak. These models will then be used to allow a conversational agent to anticipate the human partner’s actions and adapt accordingly, in order to improve coordination, such as smooth turn-taking. An important aspect of the project is also to analyze these models to gain better understanding of how communicative signals enable prediction and coordination in conversation.

The work builds upon our previous and ongoing work around the development of such models using self-supervised learning (e.g., Skantze 2017, Roddy et al 2018, Ekstedt & Skantze 2020), and you will work together with a PhD student already working in the project. The modelling involves several modalities, including speech, text and gaze, and it is therefore advantageous if you have experience of methods from both speech technology and NLP. The project is highly interdisciplinary, and we would like to see applicants with interests in both machine learning, linguistics, and psychology.

The work will take place in the speech group at the department of Speech Music and Hearing, at KTH – an internationally recognized research lab in speech and language technology. The research at the department is focused on human-like communication with machines and robots based on multimodal information. This research area is truly multi-disciplinary, bridging computer science, machine learning, linguistics, and perception and cognitive disciplines. For more information, see https://www.kth.se/en/csc/forskning/tmh

What we offer

  • A position at a leading technical university that generates knowledge and skills for a sustainable future
  • Engaged and ambitious colleagues along with a creative, international and dynamic working environment
  • Work in Stockholm, in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline (with some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume).

Applicants should have a PhD degree in a subject relevant for the research, such as computer science, speech technology, computational linguistics, or cognitive science. The position requires good skills in programming, machine learning, and statistical analysis. Good command of English, in writing and speaking, is a prerequisite for presenting research results in international periodicals and at conferences. We also expect applicants to have a deep interest in spoken language interaction, and to have done their PhD in a related area.

Preferred qualifications

Candidates with interdisciplinary backgrounds are especially welcome to apply. We would like to see that you have experience of formulating research ideas independently from your supervisor and getting them implemented. At the same time, experience of doing research in collaboration with others is commendable. You should also be aware of diversity and equal opportunity issues.

Great emphasis will be placed on personal competency.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

The application must include:

  • CV including relevant professional experience and knowledge.
  • Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
  • A personal letter stating why you want to conduct research in this specific project, your academic interests and how they relate to your previous studies and future goals. Max two pages long.
  • One or two letters of recommendation.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

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 longer than 6 months
Contract type Full time
First day of employment As agreed
Salary Monthly salary
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2020-2807
Contact
Anna Olanås Jansson, annaoj@kth.se
Gabriel Skantze, skantze@kth.se
Published 11.Dec.2020
Last application date 29.Jan.2021 11:59 PM CET