Researcher in Electrical Engineering - Hiring in process/Finished, not possible to apply

Subject description
The researcher position is in the area of efficient reconfigurable/programmable computing hardware implementation and prototype system development for emerging applications, including massive MIMO, active (fully digital) large intelligent surfaces (LIS), and machine learning algorithms. The targeted hardware platforms include field programmable gate array (FPGA)/software-defined radio (SDR) based prototyping systems and low-power application-specific instruction set processors (ASIP). The methodology of system-algorithm-hardware co-design/optimization will be explored to enable very efficient hardware implementation. The developed hardware will be used in real-life system-level testing and measurement campaigns.

Work duties
The main duties in this researcher position are to conduct research in the research subject described above. The researcher is participating in SSF_CHI project “Large Intelligent Surfaces - Architecture and Hardware”.

Teaching is included, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning.

Qualification requirements
Applicants must have:

• a PhD or equivalent research qualification within the subject of the position.
• very good oral and written proficiency in English.
• good knowledge in wireless communication systems, especially MIMO, Massive MIMO, and beyond.
• knowledge in processing algorithms and processing hardware architectures for machine learning.
• extensive experience with hardware (FPGA, ASIC, ASIP) implementation of digital signal processing algorithms for massive MIMO systems.
• hands-on experience in development of prototype systems (and use of them for real-life measurements) for massive MIMO.

Other qualifications
For appointments to the researcher position, the following shall form the assessment criteria:

• General ability to develop and conduct high quality research.
• Teaching skills.
• Function well in a team.
• Ability to conduct both theoretical and experimental research in the subject area described above.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand to contribute to its future development.

Terms of employment
Fixed-term employment, 2 years.

Instructions on how to apply
Applications shall be written in English and be compiled into a PDF-file containing:

• résumé/CV, including a list of publications,
• a general description of past research and future research interests (no more than three pages),
• contact information of at least two references,
• copy of the doctoral degree certificate, and other certificates/grades that you wish to be considered.