Doctoral student in Electrical Engineering with a focus on systems beyond massive MIMO - Hiring in process/Finished, not possible to apply

Subject description
Lund University was pioneering Massive MIMO technology around 8 years ago, and has been highly successful in the field ever since. Today, the technology is mature and the communications group at Lund University is currently researching systems that are beyond even the most grand visions of Massive MIMO. One such is large intelligent surfaces, where the idea is to mount radiating elements on large man-made structures, such as facades of buildings, roofs, etc. Lund University lies in the fore-front of this technology, but the area is still in its infancy. In this project, signal processing aspects will be researched.

Work duties
The PhD position aims at conducting basic research about large intelligent surfaces from a signal processing perspective. The position involves mainly theoretical work. However, Lund University has world class test equipment, so experimental work will also be conducted. A natural part of the PhD position is to maintain and improve said Equipment.

The 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 will 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:

• at least 60 second-cycle credits in subjects of relevance to electrical engineering, or
• an MSc in Engineering in biomedical engineering, computer science, electrical engineering, engineering mathematics, nano engineering, engineering physics or information and communication engineering.

Additional requirements:

• Very good oral and written proficiency in English.
• Experience of array processing.
• Solid knowledge of the physical communication layer.

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:

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

Other assessment criteria:

• University degrees and grades, both from MSc and BSc (if applicable).
• Knowledge and course work in mathematics, digital communications, and estimation theory  are of strong merit.
• Knowledge and experience from practical research work, such as earlier work on beamforming, detection, estimation, and massive MIMO are of merit.
• Quality and topic of  MSc thesis will also be evaluated.

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.).