Doctoral students in Distributed Systems/Data Science

TH Royal Institute of Technology

Stockholm, Sweden

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 department of Software and Computer Systems at KTH is looking for excellent candidates for two PhD student positions in the area that lies at the intersection of distributed systems, data science, data intensive computing, machine learning and deep learning. The selected candidates are expected to have a strong background and passionate interest in topics of at least one of aforementioned areas.

The advertised doctoral student positions are mainly within the Horizon 2020 EU-Project “ExtremeEarth: From Copernicus Big Data to Extreme Earth Analytics” that aims at developing scalable Extreme Earth Analytics techniques and technologies for extracting information and knowledge out of the petabytes of Copernicus data collected in the European Copernicus program for monitoring the Earth. The techniques and technologies to be developed in the project will extend the Hops platform ( for Data Science and Data Engineering, jointly developed by KTH, RISE SICS, and Logical Clocks AB, to offer unprecedented scalability to extreme data volumes and scale-out distributed deep learning for Copernicus data.

The doctoral students will contribute to development of novel and enhancement of exiting techniques, methods and algorithms for scalable big data analysis, as well as to building and enhancing a platform for Data Science and Data Engineering, such as Hopsworks, in order to provide system support for scalable big data analytics.

The position is limited to four years, but may, conditioned on up to 20% department duties, e.g., teaching and supervision, be extended to five years. The doctoral student should be enrolled at KTH and the application process for being admitted to the doctoral study program is initiated in conjunction with the employment. Doctoral student employment at KTH offers excellent conditions with competitive salaries, health care, social security, and contributions to pension funds. The preliminary starting date is February 1, 2019.

What we offer

  • The possibility to study in a dynamic international research environment in close cooperation with industries and advanced universities the world over.
  • Life-long network through KTH's Alumni organization.
  • A personal study plan to support your development within your areas of interest.
  • A workplace with many employee benefits and monthly salary according to KTH's doctoral student salary agreement.
  • Work and study in Stockholm, one of Europe´s fastest growing capitals, which is close to both nature and the sea.
  • Help to relocate and get settled in Sweden and at KTH.
  • Our research group offers a friendly working environment and the main language used is English. We perform foundational and systems research in the areas of big data analytics, data intensive computing, distributed systems, Cloud and autonomic computing.


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.

The applicant must have strong academic credentials; written and spoken English proficiency.


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.
  • practical problem solving skills and creativity; motivation for doctoral studies.

Target degree: Doctoral degree

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