KTH Royal Institute of Technology

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: Information and Communication Technology

The doctoral student position focuses on the combination of machine learning and programming language theory. In particular, the emphasis is on the design and development of methods and algorithms that combine deep neural network components and probabilistic programming technology. The research has relevance in application areas where quantification of uncertainty is especially important, such as cancer prognosis. The doctoral student will work on topics within both computer science and applied statistics, included but not limited to type systems, formal semantics, optimization, and probabilistic inference algorithms. The doctoral student will be part of the Model-Based Computing  Systems (MCS) research group at KTH and be supervised by Associate Professor David Broman. Besides research studies, the student is expected to teach up to 20% of the working time.

To be accepted to the doctoral program, the applicant should hold a Master of Science degree or a degree that fulfills the entry requirements for doctoral education at KTH. The ideal candidate has a computer science, physics, or electrical engineering background with very strong mathematical and programming skills. Experience in one or more of the following areas are qualifying: statistics, machine learning, compilers, optimization, algorithms, and programming language theory. Besides technical and mathematical skills, the candidate is expected to be a curious and ambitious person who is strongly motivated to conduct research. He or she should be used to work in a structured way and have the ability to work both individually and in teams. Good communication skills in both oral and written English are required.

This project will be funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). The highest ranked candidates will be nominated to the WASP committee, who takes the final decision if a candidate is funded in the project.

Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest ever individual research program, a major national initiative for strategically basic research, education and faculty recruitment. The program is initiated and generously funded by the Knut and Alice Wallenberg Foundation (KAW) with 2.6 billion SEK. In addition to this, the program receives support from collaborating industry and from participating universities to form a total budget of 3.5 billion SEK. Major goals are more than 50 new professors and more than 300 new PhDs within AI, Autonomous Systems and Software. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. For more information about the research and other activities conducted within WASP please visit: http://wasp-sweden.org/

 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
  • in any other way acquired within or outside the country acquired essentially equivalent knowledge.

Selection

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,
  • have a professional approach and
  • analyse and work with complex issues.

Target degree: Doctoral degree

Information regarding admission and employment

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.

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)
  • 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.

Other

Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH's work with quality as well as core values in our organization.

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.

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment According to agreement
Salary Monthly salary according to KTH's doctoral student salary agreement
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2018-1868
Contact
  • David Broman / Associate Professor,, dbro@kth.se, +46 73 765 20 44
Published 13.Sep.2018
Last application date 24.Oct.2018 11:59 PM CET

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