KTH Royal Institute of Technology, School of Engineering Sciences

Project description

Third-cycle subject: Doctoral program in Applied and Computational Mathematics

In this project, we will use frameworks in optimization, systems theory and machine learning to develop data-driven and model-based methods for large-scale network problems. The focus will be on developing theory and methods that can be used for control and estimation of large-scale systems such as transportation systems, communication systems and water supply networks. Digitization of major infrastructures is the next technological revolution that is expected to create economic and social success and contribute to a sustainable society. This doctoral project is part of KTH's initiative Digital Futures, and we will develop methods that can be used in the digitization to handle the large and complex systems of tomorrow’s society.

Supervision: The doctoral student will be supervised by: Assoc Professor Johan Karlsson

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.
  • Requirements 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.

We seek a person with strong background in mathematics, with a degree in mathematics, applied mathematics, or similar. Knowledge and demonstrated understanding in optimization, systems theory, functional analysis and machine learning is meriting. The successful applicant should also be strongly motivated, have the capability to work independently, be able to work in a team and have good communication skills. KTH is an equal opportunity employer. Women and minorities are encouraged to apply.

After the qualification requirements, great emphasis will be placed on personal qualities and 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)
  • 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

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 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 S-2020-1372
Contact
  • Assoc Professor Johan Karlsson, johan.karlsson@math.kth.se
Published 08.Oct.2020
Last application date 09.Nov.2020 11:59 PM CET

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