The position is part of the research project: “Sparse Communications: An Information Theoretic Perspective”, funded by the Israel Science Foundation (ISF), and conducted jointly with Distinguished Prof. Shlomo Shamai, Department of Electrical Engineering, Technion – IIT.

Project Description :

Future wireless networks will cater for a wide variety of applications characterized by massive connectivity and dramatically higher throughputs. New overloaded scenarios are envisioned involving massive machine-type communications facilitating the “internet-of-things” (IoT), device-to-device, and vehicle-to-vehicle communications. Such settings are not supportable by the prevailing orthogonal multiple access paradigms, and therefore non-orthogonal multiple-access (NOMA) is well recognized as the key to future needs. In this framework, sparse NOMA schemes employing sparse mappings between users and orthogonal time-frequency-space resources have gained considerable interest in recent years, allowing for near-optimal performance using iterative message-passing algorithms. Yet, a broad theoretical understanding of the impact of sparse mappings is still lacking. The main objective of this project is to explore fundamental information-theoretic performance limits of sparse NOMA, while considering crucial features of future wireless systems. Practical design considerations will be addressed as well, while accounting for typical use-cases of future 5G/6G systems and IoT settings.

Funding Duration :

The postdoc position is for a period of 1 year and is potentially extendable to 2 years contingent on the availability of funding and satisfactory achievements. The PhD student position is for a period of up to 4 years.

Required Qualifications :

• An outstanding Master or PhD degree earned from a recognized academic institute in electrical engineering, physics, mathematics, or related fields
• A provable thorough knowledge in information theory, communication theory, and probability theory
• A strong background in random matrix theory, statistical physics tools, and the theory of spectral measures of large random graphs is advantageous
• Fluency in spoken and written English
• Solid experience with one or more of the following software tools: MATLAB, Mathematica, Python
• Ability to work independently in an organized manner, as well as to closely collaborate with other research associates

  The application should include :

• A detailed CV with a full list of publications
• Contact information of at least two references
• A motivation letter with a description of the applicant’s research interests
• Copies of diplomas indicating the completion of Master and PhD degrees (if applicable), as well as a corresponding official grade report
• The applicant’s Master or PhD thesis (if available)

How to apply :

Applications should be sent by e-mail to Dr. Benjamin Zaidel (benjamin-m.zaidel AT biu.ac.il).