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September 27-29, 2019
Location: Kuala Lumpur, Malaysia
Submission Deadline: February 15, 2019
Call for Proposals Document
This job opening covers a research position at the STADIUS group of the Electrical Engineering Dept. ESAT of KU Leuven (Belgium) for a Ph.D. candidate in the frame of an ERC project on signal processing algorithm design for next-generation wearable neuro-technology and neuro-sensornetworks. A specific focus is on the design of adaptive multi-channel neural signal processing algorithms, amenable to low-power distributed or parallellizable architectures with constrained energy resources.
This job opening covers a research position (minimum 2 years) at the STADIUS group of the Department of Electrical Engineering (ESAT) of KU Leuven (Belgium) for a postdoctoral researcher in the frame of a project on next-generation wearable neuro-technology and neuro-sensor networks. The candidate will take the lead in guiding PhD students to set up BCI experiments using standard high-density EEG equipment together with some tailored non-standard equipment, and will also be involved in the d
Center for Biomedical Image Analysis of Masaryk University in Brno, Czech Republic, offers postdoc and PhD student positions related to the analysis of microscopy cell images.
More information can be found at:
https://cbia.fi.muni.cz/news/job-offer.html
PhD position and Post-doc position: Privacy-respecting dialog systems
(Computational Linguistics, Computer Science or similar)
The Signal Processing for Communications and Networking Technical Committee (SPCOM-TC) is one of the 12 technical committees (TCs) in the IEEE Signal Processing Society (SPS). Our mandate covers all technical areas in communication engineering and network science, including:
The knowledge of spatial distributions of physical quantities, such as radio-frequency (RF) interference, pollution, geomagnetic field magnitude, temperature, humidity, audio, and light intensity, will foster the development of new context-aware applications. For example, knowing the distribution of RF interference might significantly improve cognitive radio systems [1], [2].
Backscatter presents an emerging ultralow-power wireless communication paradigm. The ability to offer submilliwatt power consumption makes it a competitive core technology for Internet of Things (IoT) applications. In this article, we provide a tutorial of backscatter communication from the signal processing perspective as well as a survey of the recent research activities in this domain, primarily focusing on bistatic backscatter systems.
After decades of advances in signal processing, this article goes back to square one, when the word signal was defined. Here we investigate if everything is all right with this stepping stone of defining a signal.
The IEEE Signal Processing Society Sensor Array and Multichannel Technical Committee (SAM TC) promotes activities within the technical areas of sensor array processing and multichannel statistical signal processing, including:
Advances in engineering and health science have brought a significant improvement in health care and increased life expectancy. As a result, there has been a substantial growth in the number of older adults around the globe, and that number is rising. According to a United Nations report, between 2015 and 2030, the number of adults over the age of 60 is projected to grow by 56%, with the total reaching nearly 2.1 billion by the year 2050 [1].
The Internet of Things (IoT ) refers to the wireless connection of ordinary objects, such as vehicles, cash machines, door locks, cameras, industrial controls, and municipal traffic systems, to the Internet. Research firm BI Intelligence predicts that 22.5 billion devices will be connected to the IoT in 2021, compared to 6.6 billion in 2016.
I started drafting this editorial on July 4th while sitting in my hotel room in Versailles, France. Both the date and location have great significance in our modern history, which motivated my choice for the theme of the article.