Next-generation 6G cellular systems will provide unprecedented capabilities in order to serve dependable data communication streams, as for example originating in industrial automation. While this application domain has received some attention in 5G, cyber-physical networking capabilities will be at the heart of upcoming 6G systems. This will be facilitated by data-driven methods that can be leveraged in end-to-end contexts providing predictable services.
Our research group has a decade-long track record in leading academic research with real-world impact in the area of industrial wireless networking. We are looking for an outstanding individual interested in integrating with a strong KTH-internal team as well as with external stakeholders in order to shape future 6G networks. We typically combine fundamental research work (leveraging methods from communication and queuing theory) with experimental testbed development and trials. Candidates with a strong track record in either of these domains (with respect to wireless networking) are encouraged to submit applications. Solid command of machine learning theory and/or practical skills is a plus.
Third-cycle subject: Electrical Engineering
Supervision: Professor James GrossWhat 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:
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more hereSelection
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:
The successful candidate has a strong background in wireless communications, mobile networks, and edge computing for industrial applications. Furthermore, candidates are expected to demonstrate experience in theoretical research on mobile networks leveraging communication theory and/or queuing theory.
Additional experience in experimental research on mobile networks, and/or machine learning applications to wireless networks is a plus.
After the qualification requirements, great emphasis will be placed on personal competency.
Target degree: Doctoral degreeInformation regarding admission and employment
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.Union representatives
Contact information KTH's website.Doctoral section (Students' union on KTH Royal Institute of
Contact information section's website.Application
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.