Signal Processing Theory and Methods

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Postdoctoral positions at the National University of Singapore

The Department of Electrical and Computer Engineering (ECE) at the National University of Singapore (NUS) is offering positions for postdoctoral fellows who will work closely with Dr. Vincent Tan  at the intersection of information theory, statistical signal processing, and machine learning. Some sample topics include: 

PostDoc

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.

PhD student in mathematical statistics / signal processing

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.

Post doc positions in Technion

Postdoc in Signal Processing of Medical Imaging

Host Professor: Yonina Eldar

Research Associate in Mathematics

Applications are invited for a Research Associate position in the Department of Mathematics at Imperial College London to work in the area of statistical signal processing. The position is funded through the EPSRC Grant EP/P011535/1. The RA will work directly with Dr Edward Cohen and will join a vibrant Statistics Section.

 

PostDoc in large scale inverse problems

Applications are invited for a 2-year postdoctoral researcher position at  Lagrange Laboratory located in Nice (France). This position is available from october 2016.

Successful candidate will work in the signal processing group of Lagrange Laboratory to develop new theory and algorithms for large scale image reconstruction with application to radio astronomy. The group includes André Ferrari,  Prof., Chiara Ferrari, Ast. and David Mary, Prof.

Host institution and place of work

Posr-doctor

A Chair professor team of Shenzhen University is recruiting Posr-doctors, we offer a promising future to outstanding researchers with passion in research, and the salary is also promising, too.

PhD Studentship in Signal Processing Theory and Methods

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

PhD Studentship in Signal Processing Theory and Methods

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

Research Scientist – Statistical Signal Processing

Barron Associates performs cutting-edge research in signal processing, communications, control systems, and related fields, producing novel solutions to real-world problems related to a variety of applications.

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