Faculty of Engineering, LTH, Elektro- och informationsteknik

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 400 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

LTH forms the Faculty of Engineering at Lund University, with approximately 9 000 students. The research carried out at LTH is of a high international standard and we are continuously developing our teaching methods and adapting our courses to current needs.

Subject description
The research area of these two doctoral students deals with Massive MIMO, a wireless communication technique gaining much attention, where massive number of antennas and transceiver chains makes lead to large gains in spectral and energy efficiencies. Scaling up MIMO systems in this manner makes the entire construction less sensitive to the quality of individual transceiver chains and opens up new for new system design methods. It also opens up for new possibilities with respect to learning and sensing the environment as the spatial resolution increases with the number of antennas.

Work duties
The research work associated with these doctoral student positions deals with two aspects of Massive MIMO: scaling laws for massive MIMO and learning approaches for massive MIMO.

In the first sub-project investigations will be done of scaling laws describing the relationships between number of antennas, system performance and hardware quality requirements. The investigations also include practical limits on channel hardening effects, efficient precoding techniques adapted to low-cost analog front ends and various system form-factors. Establishing these relationships makes it possible to set realistic design specifications and speed up the entire Massive MIMO design process, on all levels.

In the second sub-project we will study learning approaches, such as machine learning and deep learning, for massive MIMO systems with the goal to improve knowledge about the environment the system is operating in, positioning capabilities, beamforming strategies, and scheduling schemes.

he main duties of doctoral students are to devote themselves to their research studies which includes participating in research projects and third cycle courses. The work duties also include teaching and other departmental duties (no more than 20%).

Admission requirements
A person meets the general admission requirements for third-cycle courses and study programmes if he or she:

  • has been awarded a second-cycle qualification, or
  • has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or
  • has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

A person meets the specific admission requirements for third cycle studies in Electrical Engineering if he or she has:

  • been awarded at least 60 credits in the second cycle with relevance to Electrical Engineering, or
  • a MSc degree, or equivalent, in Electrical Engineering, Computer Science, Information and Communication Technology, Biomedical Engineering, Engineering Physics, Engineering Mathematics, or in Engineering Nanoscience.

Additional requirements:

  • Very good oral and written proficiency in English.

Assessment criteria
Selection for third-cycle studies is based on the student’s potential to profit from such studies. The assessment of potential is made primarily on the basis of academic results from the first and second cycle. Special attention is paid to the following:

  • Knowledge and skills relevant to the thesis project and the subject of study.
  • An assessment of ability to work independently and to formulate and tackle research problems.
  • Written and oral communication skills.
  • Other experience relevant to the third-cycle studies, e.g. professional experience.

Other assessment criteria:

  • Experience with mathematical modelling and analysis of wireless communication systems, especially MIMO systems and variations thereof. This also includes experience of the software tools used, such as MATLAB.
  • Understanding of fundamental concepts in communication theory and related areas.
  • Theoretical or practical experience from different machine learning approaches.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through his or her experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programme.

Terms of employment
Only those admitted to third cycle studies may be appointed to a doctoral studentship. Third cycle studies at LTH consist of full-time studies for 4 years. A doctoral studentship is a fixed-term employment of a maximum of 5 years (including 20% departmental duties). Doctoral studentships are regulated in the Higher Education Ordinance (1993:100)
, chapter 5, 1-7 §§.

Instructions on how to apply
Applications shall be written in English and include a cover letter stating the reasons why you are interested in the position and in what way the research project corresponds to your interests and educational background. The application must also contain a CV, degree certificate or equivalent, and other documents you wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.).

Type of employment Temporary position longer than 6 months
First day of employment As soon as possible
Salary Monthly salary
Number of positions 1
Working hours 100 %
City Lund
County Skåne län
Country Sweden
Reference number PA2017/4181
  • Ove Edfors, professor, +46462229026, ove.edfors@eit.lth.se
Published 20.Dec.2017
Last application date 15.Jan.2018 11:59 PM CET

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