The candidate will investigate advanced MIMO paradigms, including continuous aperture MIMO, pre-optimized MIMO arrays, flexible intelligent metasurfaces, and tri-hybrid MIMO systems, with a particular emphasis on near-field propagation regimes relevant to ultra-massive MIMO systems. The candidate is expected to develop physically-consistent narrowband and wideband signal models for these frameworks, and use them to analyze key performance indicators such as achievable rates, coverage, and energy efficiency, as well as optimize relevant system parameters.

Applicants must hold a PhD degree or terminal degree from a recognized institution of higher learning with no more than five years post receipt of this degree, in Electrical/Electronics Engineering, telecommunications, or related field. Other requirements include:

• Proven track record of publications in IEEE Communications Society’s and IEEE Signal Processing Society’s journals and conferences.
• Strong background in communication theory, signal processing, machine learning, and optimization theory.
• Strong verbal and written skills in English.
• Excellent analytical and problem-solving skills, and capacity to pursue independent research as well as mentor graduate students.

In addition to the above qualifications, it is desirable that the applicants have:

• Research background in one or more of the following areas: massive MIMO, near-field propagation, channel estimation.
• Experience working with software defined radios and experimental testbeds for wireless communications systems.

Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae with a full publication list, transcripts of Master’s and PhD degrees, research statement, and contact details of at least three references, all in PDF format via Interfolio.

The candidate will investigate advanced MIMO paradigms, including continuous aperture MIMO, pre-optimized MIMO arrays, flexible intelligent metasurfaces, and tri-hybrid MIMO systems, with a particular emphasis on near-field propagation regimes relevant to ultra-massive MIMO systems. The candidate is expected to develop physically-consistent narrowband and wideband signal models for these frameworks, and use them to analyze key performance indicators such as achievable rates, coverage, and energy efficiency, as well as optimize relevant system parameters.

Applicants must hold a PhD degree or terminal degree from a recognized institution of higher learning with no more than five years post receipt of this degree, in Electrical/Electronics Engineering, telecommunications, or related field. Other requirements include:

• Proven track record of publications in IEEE Communications Society’s and IEEE Signal Processing Society’s journals and conferences.
• Strong background in communication theory, signal processing, machine learning, and optimization theory.
• Strong verbal and written skills in English.
• Excellent analytical and problem-solving skills, and capacity to pursue independent research as well as mentor graduate students.

In addition to the above qualifications, it is desirable that the applicants have:

• Research background in one or more of the following areas: massive MIMO, near-field propagation, channel estimation.
• Experience working with software defined radios and experimental testbeds for wireless communications systems.

Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae with a full publication list, transcripts of Master’s and PhD degrees, research statement, and contact details of at least three references, all in PDF format via Interfolio.