Image, Video and Multidimensional Signal Processing

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IVMSP

PhD Position in Digital Document Analysis

  • Digitization is an important means to preserve the content of materials which are basically vulnerable to physical damages. In particular, paper based (and especially historical) documents account for an invaluable source of information. The goal of this PhD project is to develop machine learning tools for analyzing scans of documents.
  • We are looking for a Master in Mathematics, Computer Science or Engineering with expertise or interest in image processing, machine learning and natural language processing in particular. Coding skills are required.

Postdoctoral Scholar

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

Post-doc in Biomedical Image Analysis

We have an opening for a post-doc in biomedical image analysis. We are searching for highly motivated candidates who are interested in working with us. Keywords: Image Analysis, Deep Learning, Biomedical Image Processing, Artificial Neural Networks, Machine Learning. Visit our website for furhter details.

PhD Position in Efficient Very-Wide-Area ToF 3D Sensing by Means of Adaptive Compressive Sensing

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.

PhD Positions in Deep Learning/Computer Vision

Ph.D. positions with full financial support are now available in Dr. Ying Liu’s group in the Department of Computer Science and Engineering at Santa Clara University (SCU). Dr. Liu is looking for self-motivated PhD students to work on image/video processing, machine learning and deep learning.

Postdoctoral Scholar – Applications of Artificial Intelligence in Cardiac MRI

Job #JPF05862

  • The Henry Samueli School of Engineering - Biomedical Engineering

Recruitment Period

Open date: November 19th, 2019

Next review date: Friday, Jan 3, 2020 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Friday, Feb 28, 2020 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

PhD Positions in Deep Learning/Computer Vision

Ph.D. positions with full financial support are now available in Dr. Ying Liu’s group in the Department of Computer Science and Engineering at Santa Clara University (SCU). Dr. Liu is looking for self-motivated PhD students to work on image/video processing, machine learning and deep learning.

PhD Positions with Full Financial Support Available

Ph.D. positions with full financial support are now available in Dr. Ying Liu’s group in the Department of Computer Science and Engineering at Santa Clara University (SCU). Dr. Liu is looking for self-motivated PhD students to work on image/video processing, machine learning and deep learning. Visiting scholars and students are also welcome. 

PhD Position in AI

  • In this project we will develop new AI systems that allow bringing the reasoning closer to how a human learns and reasons about the world. More specifically, we will target the following key characteristics where humans perform better at than traditional AI systems: 
    - humans can cope much better with hierarchical information structure;
    - humans are able to learn much faster and better from limited data, often exploiting previous knowledge;
    - humans are able to perform much more complex reasoning and go beyond simple pattern matching.

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