Kungliga Tekniska högskolan,

Project description

Third-cycle subject: Electrical Engineering

Supervision: The doctoral student will be supervised by: Professor Mikael Skoglund

The Division of Information Science and Engineering is looking for a doctoral student in the following area: Information theory, with specialization in AI and machine learning.

The goal of this project is to analyze machine learning techniques by using information theoretic tools, to characterize their performance, and in this way, to explain their properties as well as to contribute to the development of information theory in general and with applications in AI and machine learning in particular. Recent examples within the area are the information bottleneck method applied to deep learning, as well as new information theoretic results that relate to generalization, information leakage and robustness. The project will mainly focus on fundamental mathematical tools and results.

This position is announced within the framework of the WASP mathematics for AI program, see for further information. The successful candidate will be associated with the WASP PhD program in mathematics for AI, together with other PhD students at KTH and other Swedish universities.

The Division of Information Science and Engineering consists of faculty members, researchers and doctoral students (ca. 55 people in total) who contribute to a high professional standard of intensive work and quality results, as well as to a friendly and open environment. The staff has a multicultural background and the working language is English.

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.
  • Language requirements
  • The applicant is expected to hold or to be about to receive an MSc degree in Mathematics/Statistics, Engineering Physics, Electrical Engineeringing or (Theoretical) Computer Science, and is furthermore expected to show an excellent academic track record.

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 assed upon their ability to:

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

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

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)
  • Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions and certificates of fulfilled language requirements.These need to be translated 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 information
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
Contract type Full time
First day of employment According to the agreement
Salary Monthly salary according to KTH's doctoral student salary agreement
Number of positions 1
Full-time equivalent 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2020-0337
Contact
  • Mikael Skoglund, Professor, Head of division, skoglund@kth.se
  • Maria Forslycke, HR Officer, +46 8 790 00 00
Published 13.Feb.2020
Last application date 16.Mar.2020 11:59 PM CET

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