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Machine learning solutions have matured tremendously lately, but we still do not know how to learn efficiently when data and agents are spread out over large physical areas. This scenario is not uncommon, think about all the health monitoring devices we wear, or monitoring traffic in a city or crops growing on the fields. Since agents in this case need to be connected through communication networks, like 6G or software defined networks, machine learning and network design need to advance together.
Our group at KTH already contributes to this area, focusing on wireless network design for distributed learning. In our research we combine areas of stochastic modelling, algorithm design, machine learning and network protocol design from physical to application layers.
The doctoral student accepted for this position will work in the same area, with a specific focus on machine learning over distributed network infrastructures. The position is coupled to our projects on monitoring large scale critical infrastructures and cyber infrastructures
Third-cycle subject: Computer Science
Supervision: Professor Victoria Fodor
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
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:
We are looking for candidates with strong knowledge in applied mathematics, computer science or electrical engineering. Solid knowledge and deep interest is required in several of the following areas: probability theory and statistics, linear algebra, algorithm design, networking and specifically wireless networks, machine learning. You need a strong academic track record, be analytical and independent, and have a passion for research and problem solving.
After the qualification requirements, great emphasis will be placed on personal competency.
Target degree: Doctoral degree
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. In the case of studies that are to be completed with a licentiate degree, the total period of employment may not be longer than what corresponds to full-time doctoral education for two years.
Contact information KTH's website.
Contact information 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/Central European Summer Time).
Applications must include:
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 , 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 | According to agreement |
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-2023-1545 |
Contact |
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Published | 08.Jun.2023 |
Last application date | 15.Aug.2023 11:59 PM CEST |