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.

Project description

Third-cycle subject: Information and Communication Technology 

The project investigates efficient architectures and machine-learning algorithms for edge computing nodes in embedded systems for specific applications in medical, healthcare, automotive and robotics domains. Such edge computing nodes appearing in various sensor networks and IoT devices often need to process large amount of sensor data in real time and communicate via wired och wireless channels to external devices with high throughput. The problem is especially challenging because of limited resources in terms of area, power and storage and strict non-functional requirements on predictability and dependability  in those embedded computing devices . This calls for innovative architectures on which approximate machine learning algorithms can execute efficiently to perform runtime data analytic tasks such as data filtering, feature extraction and anormaly detection etc. The project is financed by EU Horizon 2020.

We are looking for a PhD student who has genuine interest in hardware architecture, architecture specialization for machine learning, and embedded system design.The student is expected to have background in computer or electrical engineering, embedded systems, and machine learning algorithms.The student will work in an ambitious research group which has accumulated many years of experience and expertise in electronic system architecture and design methodology,  network-on-chip and in-vehicle networks, realtime systems and performance analysis. The student is expected to be able to publish high quality papers and develop research prot

What we offer


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.
  • English proficiency in reading, writing and speaking.


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.

Experience in hardware (FPGA, ASIC) deisgn and embedd systems development.

Great emphasis will be placed on personal competence and suitability.

Target degree: Doctoral degree

Information regarding admission and employment

Only those who are or have been admitted to third-cycle studies may be employed as a doctoral student. The term of the initial contract may not exceed one year and may thereafter be extended. Doctoral students may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.

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.


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. Translations 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 longer than 6 months
Contract type Full time
First day of employment Enligt ö.k
Salary Monthly salary according to KTH's doctoral student salary agreement
Number of positions 2
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2019-1414
  • Zhonghai Lu /, zhonghai@kth.se
  • HR questions / , rekrytering@eecs.kth.se
Published 13.Jun.2019
Last application date 09.Sep.2019 11:59 PM CET

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