Job Description

PhD Studentship in Signal Processing Techniques

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 broad area of signal processing techniques. Potential topics include:
- Adaptive signal processing algorithms
- Distributed signal processing techniques
- Array signal processing: beamforming, direction finding and localization
- Detection and estimation algorithms
- Sparsity-aware and compressive sensing algorithm

The application areas are: wireless communications, wireless sensor networks, internet of things (IoT) and radar and sonar systems

Deadline for application: 3rd December 2017
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$ 750 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 (http://delamare.cetuc.puc-rio.br/) - delamare@cetuc.puc-rio.br

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