Doctoral student in information and coding theory for federated learning Full-time NEW

Doctoral Student In Information And Coding Theory For Federated Learning

Third-cycle subject: Electrical Engineering

The project concerns information- and coding-theoretic methods for analysing and improving the resilience and efficiency of federated machine learning methods in settings where communication bandwidth is limited and nodes are unreliable.

The project is funded by KTH as part of a joint initiative aimed at strengthening relations between KTH and selected partner universities. The project is carried out in collaboration with the Technical University of Denmark (DTU) in Lyngby, Denmark. The doctoral student will be supervised by two supervisors at KTH and two supervisors at DTU. Mobility is a requirement for the doctoral student; the student is expected to spend a total of at least one year at DTU. However, this period does not need to be continuous and will be planned in consultation between the doctoral student and the supervisors.

Supervision: Professor Ragnar Thobaben and Professor Mikael Skoglund (KTH) as well as Professor Søren Forchhammer and Assistant Professor Stanislav Kruglik at DTU. Decision will be made upon admission.

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 second cycle degree (for example a master's degree), or
• completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
• acquired, in some other way within or outside the country, substantially equivalent knowledge

The applicant needs to demonstrate excellent background in the theoretical analysis of stochastic phenomena, as well as general skills in mathematical analysis of engineered systems.

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.

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:

• independently pursue his or her work
• collaborate with others,
• have a professional approach and
• analyze and work with complex issues.

Prior experience in information theory is a plus.

After the qualification requirements, great emphasis will be placed on personal skills.

Target degree: Doctoral degree