Signal Processing for Communications and Networking

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SPCOM

PhD position in Multi-dimensional Signal Processing for Next Generation Wireless Radios

The progress in circuit technology has allowed researchers to think about leveraging spectrum beyond millimeter wave. It is not unreasonable to imagine commodity radios with massive antenna arrays and emerging radio frequency (RF) technologies in the near future. To enable efficient communication with these radios, it is critical to understand hardware constraints at the antennas, the RF and the digital front ends. In this position, you will design new waveforms and algorithms for communications while accounting for the hardware constraints in futuristic radios.

Open Researcher Position at CTTC (Barcelona) on Signal Processing and Machine Learning for Communications

The Communication Systems Division of the CTTC is searching for interested candidates in a Researcher position for its Advanced Signal and Information Processing (ASIP) Department.

PhD Students and Masters

Signal processing and communication students? We are looking for you!

The Signal Acquisition, Modeling, Processing, and Learning (SAMPL) lab headed by prof. Yonina Eldar is recruiting Masters and PhD students for cutting edge research in radar, communications, and analog-to-digital conversion. 

Candidates with strong electrical engineering or communication systems engineering background are invited to send their CV to Yonina.eldar@weizmann.ac.il

Postdoctoral Scholar

A postdoctoral scholar position with a focus on applications of machine learning in cardiac MRI. Details can be found at:

https://recruit.ap.uci.edu/JPF05862

Associate Senior Lecturer

The research group Communication Systems and Networks at Mid Sweden Sweden University announces one open Associate Senior Lecturer position within the area of wireless communication.  We are looking for candidates with experience and knowledge on: machine learning, artificial intelligence, radio resource management, spectrum management, and communication protocols. The applicant should have an outstanding research record documented by publications in high-ranked journal. We are looking for strongly motivated and responsible candidates, who are able to work independently and cooperate.

PhD position in signal processing and machine learning at the SAMPL Lab, Weizmann

The department of mathematics and computer science at the Weizmann Institute invites students for a PhD position in the areas of signal processing and machine learning with applications in communications, radar, medical imaging and optical imaging. The selected candidate will work with Prof. Yonina Eldar at the SAMPL lab. In the area of medical imaging, the work will be performed in close collaboration with leading hospitals in Israel and abroad. Some of the topics will be in close collaboration with PIs at MIT, Stanford and the Broad Institute.

Post-doc position in signal processing and machine learning at the SAMPL Lab, Weizmann

The department of mathematics and computer science at the Weizmann Institute invites researchers for a postdoctoral position in the area of signal processing and machine learning with applications in communications, radar, medical imaging and optical imaging. The selected candidate will work with Prof. Yonina Eldar at the SAMPL lab. In the area of medical imaging, the work will be performed in close collaboration with leading hospitals in Israel and abroad. Some of the topics will be in close collaboration with PIs at MIT, Stanford and the Broad Institute.

Principal Research Scientist

  • Tackle challenges in data collection, information extraction & transmission.
  • Excellent opportunity to work in a leading scientific institution with dedicated professionals 
  • Join CSIRO’s Data61, the largest data innovation group in Australia 

The Position

Postdoc in AI-based Radio Resource Management for 5G and Beyond

The goal of the project is to design an architecture and self-learning algorithms that can optimize and guarantee deterministic QoS of individual traffic flows whilst maximizing network resource efficiency. The general QoS architecture for end-to-end communication of heterogeneous types of traffic will include routing and scheduling for each traffic type and admission control possibly with QoS renegotiations and with shaping and spacing.

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