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Third-cycle subject: Electrical Engineering
This research project aims at developing the principles behind the next generation of computing systems optimized for modern data-intensive workloads. We believe that these systems will make a disruptive departure from the classic Von Neumann architecture, with its decoupling of memory and computing, and embrace the principle of processing-near-memory. In this way, it is possible to shortcut the main limitations of current hardware systems. Your role will be to explore how ML algorithms and computer architectures can be enhanced and radically re-designed for unprecedented efficiency and scalability.
The doctoral position is part of a multi-disciplinary research center on “Data-bound computing”, run by researchers with internationally leading expertise in algorithm development, distributed systems and computer architecture. This particular position is hosted by Professor Mikael Johansson’s research group at KTH, and you will collaborate with researchers and doctoral students at both KTH and Chalmers University. Together, we will take a holistic view of the computing hardware and algorithm pipelines and explore radically new computing architectures and algorithms, optimized for ML.
Supervision: The doctoral student will be supervised by Professor Mikael Johansson
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:
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more here
We are looking for candidates with knowledge and background in applied mathematics and computer science. A suitable background is a master's degree in Electrical engineering, Computer science, Technical physics, or Applied Mathematics. Experience from algorithm development for machine learning is desired.
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:
After the qualification requirements, great emphasis will be placed on personal competency.
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.
You will find contact information for union representatives on KTH's website.
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:
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.
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 |
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Contract type | Full time |
First day of employment | Enligt överenskommelse |
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 | J-2022-0601 |
Contact |
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Published | 10.Mar.2022 |
Last application date | 31.Mar.2022 11:59 PM CEST |