Phd position in Computer Science, focus 5G IoT Networking - Hiring in process/Finished, not possible to apply

A fully funded PhD position is available within the Distributed Systems and Communications (DISCO) Group at the Department of Mathematics and Computer Science, Karlstad University. Research within DISCO is focused on the development of transport and application layer protocols, cross-layer interactions, networking techniques for low latency Internet communication and the design of future wireless and cellular systems including 5G design and experimentation.

Position
A vast amount of activity is currently seen around Internet-of-Things (IoT): it is connected cars, robots, shipping containers, agricultural fields, traffic systems, and seemingly everything in between. The importance of IoT is also seen in the ongoing development of the next-generation mobile system, 5G, with IoT technologies such as CAT M1 and NB-IoT (CAT M2) at the center stage of the development process. However, the introduction of these technologies is not without challenges, e.g., NB-IoT targets a battery lifetime of more than 10 years, and there is a tradeoff between power consumption, latency, and reachability. This position is focused on communication solutions for massive Machine Type Communication (m-MTC) in 5G, i.e., communication solutions for the envisioned tens of billions IoT devices that will be connected to 5G. As part of the position, you will model power consumption for Low Power Wireless Access (LPWA) technologies, such as CAT M1 and NB-IoT, in 5G, and suggest novel power-saving schemes or algorithms that could further improve their performance. Related to this, you will also consider ways to manage congestion in m-MTC scenarios in an energy-efficient way.

The work is to be conducted in a collaborative and energetic research group with strong track records in transport layer protocols, low latency communication, mobile broadband performance and network measurements.

It is expected that the candidate performs research in the given area through a combination of experimentation, simulations and/or analytical modeling. Knowledge or experience in areas such as cellular, wireless, and sensor networks, resource allocation, communication protocols, performance measurements, modeling, and evaluation is therefore desirable. Excellent programming skills as well as good oral and written communication skills in English are required.

The candidate should be able to work independently, as well as in a team; and be enthusiastic about pushing the state-of-the-art. Collaboration with academic and industry partners through national/international research projects is expected. Part of the work will be carried out within the 5GENESIS EU H2020 project that aims to test and validate KPIs for various 5G use cases, including IoT.

Eligibility 
Eligible for this position are candidates with a University degree of 240 ECTS, from which at least 60 ECTS were awarded for courses at advanced level and have a Master’s degree or the Swedish Magister or Civilingenjör Degree in Computer Science or Computer Engineering, or equivalent. Eligible are also those candidates who have achieved corresponding degrees or knowledge in Sweden or abroad.

Terms
The position is limited to 4 years, but can be prolonged for up to one more year, if the PhD student also takes on other research, teaching or administrative tasks besides her/his PhD research. Those tasks should not exceed 20% of the time of a full-time position.

Admission
Admission is based on individual assessment of the candidates’ abilities to successfully pass the research education.

Application
Applications should be submitted electronically via the Karlstad University web-based recruitment tool, Varbi, with uploaded attachments.

The application should include the following items:

• Cover letter describing the applicant and her/his research interests in relation to the announced positions.
• CV
• Relevant diplomas and a list of attended courses with grades and dates
• Copies of publications or proofs of other achievements if applicable
• Reference letters or contact information of at least two reference persons

Non-electronic documents (state registration number REK2018/161) can be addressed to:
Karlstad University
Faculty of Health, Science and Technology
Att. Åsa Ivansson
651 88 Karlstad 
Sweden

Contact
Senior Lecturer Karl-Johan Grinnemo, karl-johan.grinnemo@kau.se, +46(0)54-700 2440

Application deadline: August 15

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