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.

Job description

This position is mainly funded by the H2020 Spine project. The aim is to develop and validate a novel, end-to-end open-source software platform for integrated energy system modelling (called Spine) that will enable open, practical, flexible and realistic planning of future European grids. Best practices in terms of data acquisition, visualization, management and pass-through, as well as problem formulation, interpretation and resolution, are identified and combined into a modular tool to cover a large number of modelling exercises. Following this strategy, Spine will allow grid operators, energy producers and researchers to carry out analyses that are not possible with current modelling platforms, and potentially not even yet conceived.

- Project home page: http://www.spine-model.org/

- Project github site: https://github.com/Spine-project

The role of KTH is to participate in several Work Packages including: WP2, Spine modelling toolbox; WP3, Spine energy systems model; WP4, Spine data conversion tools; and WP6, Deployment of the tools with case studies. In WP4, we investigate the spatial aggregation of energy conversion systems in order to develop and implement an aggregation tool within Spine. In WP6, we coordinate the execution among project partners of 13 case studies designed to improve, validate and deploy Spine. We also lead the execution of several of these case studies including one case study on spatial aggregation of nodal systems, and one on power grid investments under uncertainty.

In addition to this it is expected that the selected applicant can supervise project workers which, e.g., implement different case studies within the Spine model.


Candidates should have a Ph.D. (or be near completion) in energy system modelling with a strong background in software architecture, or vice versa, a Ph.D. in software architecture with a strong background in energy system modelling. The candidate should master at least some of the following areas: power system aggregation, stochastic optimization, collaborative software writing, database management, parallel computing. Knowledge of SQL, Python and/or Julia are strong merits.

The successful applicant should have an outstanding research and publication record. Well-developed analytical and problem solving skills are a requirement. We are looking for a strongly motivated person, who is able to work independently. Good command of English orally and in writing is required to present and publish research results. The position also includes some administration and project responsibilities since cooperation with both other persons within KTH as well as other Spine partners is basic for the project.

Great emphasis will be placed on personal competence and suitability.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.


Some ideas can be removed / reformulated: The application should contain the following:

  1. CV including relevant professional experience and knowledge.
  2. Copies of diplomas and grades from your previous university studies. Translations to English or Swedish if the original documents are not issued in one of these languages.
  3. Brief explanation of why you want to conduct research, about your academic interests and how they relate to your previous studies and future goals; max 2 pages long.
  4. Representative publications or technical reports: Document no more than 10 pages each. For longer documents (eg dissertations), attach a summary (abstract) and a web link to the full text.
  5. Two recommendation letters
  6. Contact information for two reference persons. We reserve the right to contact references only for selected candidates.

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad. Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).


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 September 1st 2019, or according to agreement
Salary Monthly salary
Number of positions 1
Working hours 100 %
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2019-1180
  • Lennart Söder, Professor, lsod@kth.se
  • Mikael Amelin, Associate Professor, amelin@kth.se
  • Anna Mård, HR Officer, rekrytering@eecs.kth.se
Published 10.May.2019
Last application date 20.Jul.2019 11:59 PM CET

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