PhD Studentship in Signal Processing Theory and Methods

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PhD Studentship in Signal Processing Theory and Methods

Country of Position: 
Contact Name: 
Rodrigo de Lamare
Subject Area: 
Signal Processing Theory and Methods
Start Date: 
September 23, 2016
Expiration Date: 
November 25, 2016
Position Description: 

PhD Studentship in Signal Processing Theory and Methods
Programe of Electrical Engineering,  Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil
Applications are invited for a PhD studentship in signal processing techniques. This studentship is funded by the CNPq/CAPES research councils in Brazil. The topic of the project is open in the area of signal processing theory and methods. Potential topics include:
- Adaptive signal processing algorithms
- Distributed signal processing techniques
- Detection and estimation
- Sparsity-aware and compressive sensing algorithm

The application areas are: wireless communications, power systems, wireless sensor networks or radar systems
Deadline for application: 25th November 2016
Start date: March 2016
The activities will involve the development of system and signal models using linear algebra, simulation tools, development signal processing algorithms and analytical approaches.
This is an exciting international opportunity for a candidate with (or expecting) an MEng or an MSc with First Class Honours in Electrical and Electronic Engineering or related areas. Amongst the key technical disciplines are an excellent level of mathematics, development of algorithms and design of sensor array systems. The successful candidate will be based at the PUC-Rio, Rio de Janeiro, Brazil, will visit international partners, and is expected to attend international conferences and collaborate extensively with international experts.
The studentship is open to everyone, covers the tuition fees, and gives a stipend of about US$ 1,000 per month for 4 years subject to an annual increase. Additional funding might be available with industrial projects and requires extra 4-6 hours per week. 
Applicants should send an up to date CV with photo, a one-page personal statement, full contact details (including email addresses) of 2 referees, transcripts and publications to:
Prof. Rodrigo C de Lamare ( -

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