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10 years of news and resources for members of the IEEE Signal Processing Society

Research Opportunities

Intel-NTU Connected Context Computing Center is a world-class research center sponsored by Intel Corporation, National Science Council, Taiwan Region and National Taiwan University. We are now opening 8 post-doctoral and 4 senior researcher positions to candidates specialized in Machine-to-Machine technology,

with a special interest in any of the following fields:

Vista Research has immediate openings for superior professionals with experience in statistical signal processing and communications systems.

Job Description: We are seeking one highly motivated postdoctoral fellow in computational neuroscience and signal processing to be part of an interdisciplinary research alliance working to develop computational models and data analysis methods in support of a research program in neuroergonomics (‘the study of the brain and body at work’).

Job Details: As a Research Engineer - Signal Analytics with a strong background in signal analytics (detection, estimation, prediction, data fusion, stochastic processes, modeling, system identification), you will conduct R&D to bring world-class analytics to GE products & services.

Job Description: Come turn the art of pricing into a science! The Pricing Analytics team invents the algorithms behind Amazon’s pricing systems which automatically determines and publishes prices, with little to no manual intervention, for the millions of items that Amazon sells worldwide ranging from Books to Consumer Electronics to Shoes.

An Industrial PhD Studentship funded by the ESPRC through the 2011 Dorothy Hodgkin Postgraduate Award Scheme (DHPA) is available in the Centre for Communications Research (CCR) at the University of Bristol in collaboration with Toshiba Research Europe Ltd (TREL).

The project is entitled “Compressive sensing for M2M applications including healthcare and smart energy”. In this project, the student will look at ways of designing compressive sensing algorithm to exploit sparsity in M2M data such as biomedical signals or smart energy sensor data.

An exciting opportunity is available to join the newly established laboratory of Stephen Montgomery in the Department of Pathology and Department of Genetics at Stanford University School of Medicine.

Dr. Montgomery’s group focuses on understanding the effects of genome variation on cellular phenotypes and cellular modeling of disease. His group uses genomic approaches such as next generation RNA sequencing in combination with developing and utilizing state-of-the-art bioinformatics and statistical genomics approaches.


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