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PhD Position Vacancy in Digitalized Power Grids, Electrical Engineering – KTH, Sweden 2022

KTH Royal Institute of Technology, Sweden

KTH Royal Institute of Technology offers Doctoral students in digitalized power grids at the School of Electrical Engineering and Computer Science – Sweden 2022


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General Info

Position: PhD
No. of Positions: 1
Research Field:
Joining Date: ASAP
Contract Period: 1+2 years
Salary: According to Standard Norms

Division of Electric Power and Energy Systems
School of Electrical Engineering and Computer Science
KTH Royal Institute of Technology
Stockholm, Sweden

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Qualification Details

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 second cycle degree (for example a master's degree),
  • completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
  • acquired, in some other way within or outside the country, substantially equivalent knowledge,
  • Master’s degree in Electrical engineering or equivalent.

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


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.

Strong background in power system/ optimization/AI will be preferred.

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

Responsibilities/Job Description

With the high penetration of renewables, power electronics and the tightly coupled cyber and physical networks, future power systems will be more complex with stochastics and vulnerabilities. Recent advancements in artificial intelligence, big data and advanced control/optimization technologies provide possible novel approaches to address above challenges. This project will develop a digital model as well as learning based optimization algorithms to achieve stable and secure operation of future power grids. This project is funded by Swedish Research Council.

How to Apply?

Online Application through "Apply Now" Button from this page

Reference Number: J-2021-2822
(If any, use it in the necessary place)

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Documents Required

Documents required to complete the online application process

About the Employer: KTH Royal Institute of Technology

Note or Other details

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.

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Contact details

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