Programe of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil
Applications are invited for PhD studentships in signal processing techniques. These studentships are funded by the CNPq/CAPES research councils in Brazil. The topic of the project is open in the broad area of signal processing techniques. Potential topics include:
- Adaptive signal processing algorithms
- Distributed signal processing techniques
The Faculty of Information Technology and Electrical Engineering, at the Norwegian University of Science and Technology (NTNU) has two (2) PhD Research Fellow vacancies at the Department of Electronic Systems (IES).
Each of the PhD positions is for up to 4 years with 25% work assignments for NTNU IES.
The Faculty of Information Technology and Electrical Engineering, at the Norwegian University of Science and Technology (NTNU) has one Postdoctoral Research vacancy at the Department of Electronic Systems (IES). The postdoctoral position is for two (2) years.
Young and research-intensive, Nanyang Technological University (NTU Singapore) is ranked 11th globally. NTU is also placed 1st amongst the world's best young universities and ranked 4th globally for Engineering and Technology.
The Lab focuses on sampling, modeling and processing of continuous-time and discrete-time signals and on new design paradigms in which sampling and processing are designed jointly in order to exploit signal properties already in the sampling stage. This approach has the potential to drastically reduce the sampling and processing rates well below the Nyquist rate, typically considered as the ultimate limit for analog to digital conversion.
Positions available for outstanding theoretical researchers with demonstrated outstanding publications in IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and similar quality journals to work on signal processing and communications for IoT, smart grid, related sensor networking problems or some other important problems. Please send resume along with names of three references, a research plan, and sample publications to rblum(at)lehigh(dot)edu.
The research project is concerned with sparse modeling and representation of various forms of signals, including, in particular, acoustical and spectroscopic measurements. The project considers sparse modeling in inter- and cross-disciplinary applications, and may also include topics such as robust beamforming, machine learning, spectral representation of sparse signals, and dictionary learning. The project is of a collaborative nature, and involves cross-disciplinary topics and investigations as a part of the focus.
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