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Doctoral Student in Dialogue Systems / Natural Language Processing

KTH Royal Institute of Technology has an opening research position. This fellowship is available for all students around the world. The funds for this fellowship are available for two years. Applicants should apply before September 30, 2018.

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.

The aim of the project is to develop models and systems for communication between human and machine in natural language, in particular in geospatial domains where the user walks around in the city and communicates with the system using his smartphone. Particular problems we will study are methods for context-dependent analysis of user utterances, and generation of instructions from the system. An integral part of the project will be to construct practical systems and try them out on users.
- The possibility to study in a dynamic international research environment in close cooperation with industries and advanced universities the world over.
- A personal study plan to support your development within your areas of interest.
- A workplace with many employee benefits and monthly salary according to KTH’s doctoral student salary agreement.
- Work and study in Stockholm, one of Europes fastest growing capitals, which is close to both nature and the sea.
- Help to relocate and get settled in Sweden and at KTH.
- The department of Speech,Music and Hearing (TMH) at KTH has a long research record in speech technology and dialogue systems, and have several leading researchers in the area.

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:
- completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or
- in any other way acquired within or outside the country acquired essentially equivalent knowledge.

The applicant should have excellent knowledge of machine learning, in particular neural networks, natural language processing, and programming. Knowledge of Swedish is a merit but not strictly necessary.

In order to succeed as an doctoral student at KTH you need to be goal oriented and persevering in your work. In the selection of the applicants, the following will be assessed:
- ability to independently pursue his or hers work,
- ability to collaborate with others,

Only those who are or have been admitted to third-cycle studies may be employed as a doctoral student. The term of the initial contract may not exceed one year and may thereafter be extended. Doctoral students may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.

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:
- 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)
- Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions. Translations into English or Swedish if the original documents are 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.


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