Applies to General Signal Processing

Please apply for this position here.

Overview:

Autonomous Vehicles at the Intersection of Computer Vision, Machine Learning and Human Factors

About the project

Institute for Transport Studies (ITS) is the leading transportation research centre in the UK and one of the Top 10 global leaders in the field. The centre currently has 60+ research staff and PhD students in multi-disciplinary areas of Human Factors, Computer Vision, AI and Machine Learning, Behavior Modeling, Psychology, and Transportation Safety.

Vertex Postdoctoral Researcher, University of Southern California

Principal Investigator: Urbashi Mitra, Electrical & Computer Engineering and Computer Science

A postdoctoral scholar position with a focus on applications of machine learning in cardiac MRI. Details can be found at:

https://recruit.ap.uci.edu/JPF05862

The Computational Medicine Laboratory (CML) at the University of Houston is currently looking to recruit one highly motivated and creative Ph.D. student with applied mathematics, signal processing, and/or control theory background to develop mathematical algorithms for biomedical engineering applications with a focus on human subject research.

Institute of Electronics and Computer Science (EDI) announces the opening of the competition for preliminary selection of postdoctoral applications for submission to the State Education Development Agency (SEDA) under the Activity 1.1.1.2 “Post-doctoral Research Aid” of the Specific Aid Objective 1.1.1 “To increase the research and innovative capacity of scientific institutions of Latvia and the ability to attract external financing, investing in human resources and infrastructure” of the Operational Programme “Growth and Employment”.

Masters students, PhD students and Postdocs interested in the areas of signal processing, machine learning, medical imaging, communications and radar processing. Contact us.

A Multiple Input Multiple Output MIMO radar makes use of orthogonal transmit waveforms either in time, in frequency or in code, in order to exploit diversity gain (due to the larger number of degrees of freedom than their phase-array counterparts) and obtain more information from a radar scenario or target. Time Domain Multiplexing at transmit is an easy and cost-effective approach to achieve orthogonality but it implies increasing measurement time with the number of transmitter and a potential ambiguity for Doppler-shift estimation.

A full time one-year position as a postdoctoral Fellow is available at the AViReS Lab ( https://avires.dimi.uniud.it ) of the Department of Mathematics, Computer Science and Physics (DMIF), University of Udine.   

A question that naturally arises in active sensing systems, such as ToF systems, is how much volume can be sensed with a given power budget, and how this can be extended by means of some more intricate sensing scheme. The main objective of this project is the development of a very-wide-area ToF 3D sensing system which has to be outstandingly efficient regarding the power consumption. To attain such an ambitious goal we propose bringing compressive sensing into the game and using recently proposed adaptive methods for constructing close-to-optimal binary sensing matrices.