Doctoral student in Conversational AI

Updated: 15 days ago
Deadline: 01 Sep 2021

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.


Project description

Third-cycle subject: Computer Science or Speech and Music Communication

We are looking for a doctoral student interested in Artificial Intelligence, Machine Learning, Natural Language Processing and Human-Machine Interaction, that will work in a newly funded project at the Department of Speech, Music and Hearing (www.kth.se/tmh ) within the School of Electrical Engineering and Computer Science at KTH. The project is financed by the Swedish AI-program WASP (Wallenberg AI, Autonomous Systems and Software Program, www.wasp-sweden.org ), which offers a graduate school with research visits, partner universities, and visiting lecturers.

The newly started project is titled "Representation learning for Conversational AI", and is a collaboration project between KTH Royal Institute of Technology in Stockholm and Chalmers in Gothenburg.  The aim of the project is to develop generic language models for spoken conversation. Whereas traditional language models in NLP (such as BERT) have focused on written language, we want to model spoken conversation, where aspects such as speech acts, turn-taking, incremental processing and prosody are of importance. This means that the models will have to process both text and audio (and potentially other modalities). In collaboration with industry, we will then explore how such models can be used for applications such as conversational systems, voice assistants and social robots. Another important focus will be on model analysis and visualization.

More information about the project can be found here: https://www.kth.se/profile/skantze/page/phd-student-position-representation-learning-for-conversational-ai

Supervision: The doctoral student will be supervised by Prof. Gabriel Skantze


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:

  • passed a degree at advanced level,
  • completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or
  • acquired, in some other way within or outside the country, substantially equivalent knowledge

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more here


Selection

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:

  • independently pursue his or her work
  • collaborate with others,
  • have a professional approach and
  • analyse and work with complex issues.

Applicants should have a Master degree (or similar) in a subject relevant for the research, such as computer science, language technology, or cognitive science. Applicants are expected to have good skills in programming and experience in machine learning. Applicants must possess good levels of cooperative and communicative abilities. A 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 strong interest in human language and communication.

After the qualification requirements, great emphasis will be placed on personal competency. 

Target degree: Doctoral degree


Information regarding admission and employment

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.


Union representatives

You will find contact information for union representatives on KTH's website .


Doctoral section (Students’ union on KTH Royal Institute of Technology)

You will find contact information for doctoral section on the section's website .


Application

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:

  • CV including your relevant professional experience and knowledge.
  • Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
  • Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above) . Translations into English or Swedish if the original document is not issued in one of these languages.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other information

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.

We firmly decline all contact with staffing and 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.


View or Apply

Similar Positions