Sensor Array and Multichannel

A Radar Systems Test Engineer is required to provide program support to the U.S. Army Armament Research, Development and Engineering Center (ARDEC) Battlespace Applications Branch Precision Radars Team at Picatinny, NJ.  Radar Systems Test Engineer is required to provide test support.

Duties:

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.

A Ph.D. research position is available in the KU Leuven, Electrical Engineering Department (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, in the frame of a research project on audio signal processing in ad-hoc wireless transducer array networks. The research activities will be focused on the design and evaluation of distributed digital signal processing (DSP) algorithms for acoustic echo and feedback cancellation, active noise control, and sound field control in ad-hoc wireless transducer array networks.

A 4-year PhD position is available within a collaborative project between ESAT-STADIUS, Dept. Electrical Engineering and ExpORL, Dept. Neurosciences, KU Leuven, Belgium. The goal is to develop a neuro-steered hearing aid that will adapt its function according to brain responses measured using EEG. This position entails joint signal processing of EEG and audio signals.We are looking for someone with strong mathematical skills and some experience in algorithm design for multi-channel (array) signal processing (for EEG and/or audio).

The aim of this PhD project is to develop a novel ultrasound methodology that enables non-invasive read-out of the acoustic properties of radiation-sensitive microbubbles in order to construct a dose map. Hereto, acoustic models of wave propagation through soft tissue will be combined with advanced signal processing techniques. The developed methodology will extensively be validated in experimental setups (both in-vitro and in-vivo).