Image, Video and Multidimensional Signal Processing

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IVMSP

PhD Position in Video Processing and Deep Learning

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.

Research scientist position (postdoc) in biomedical image analysis (Japan)

The Brain Image Analysis Unit at the Center for Brain Science (CBS), RIKEN, Japan, seeks highly motivated individuals who will contribute to the development and implementation of image processing and image analysis techniques with a focus on brain image data.

PhD Position in Medical Image Analysis

PhD Position : Image Analysis of dynamic MRI data to study musculoskeletal disorders 

Lab

Research at IMT Atlantique involves nearly 800 people, including 290 teachers and researchers and 300 PhD students, and is on digital technology, energy and environment. It covers all disciplines (from the physical sciences to humanities and social sciences through those of information and knowledge) and covers all fields of science and information and communications technology.

Postdoc Audio-Visual Signal Processing

The Signal Processing research group at the Universität Hamburg (http://uhh.de/inf-sp) is hiring a postdoctoral researcher for 33 months for the project "Crossmodal Processing of Audio-Visual Signals".

Medical Imaging at the SAMPL Lab, Technion

Position description: The department of Electrical Engineering at the Technion - Israel Institute of Technology invites researchers for a postdoctoral position in the area of machine learning for healthcare Medical Imaging and automotive radar. The selected candidate will work with Prof. Yonina Eldar at the SAMPL lab in collaboration with clinicians in Israel and USA.

Analog Design Engineer/ Power Supply Design

At Crestron Electronics, Inc we build the technology that integrates technology.

We are proud to be the largest and most recognized brand in automation and control solutions, and the premier technology partner for fortune 500 businesses globally. Our products’ are integrated into new high-tech commercial buildings’ to include some of the most exciting real estate throughout the world.  Our clients include Google, Microsoft, AmazonLinked In and many others.  

PostDoc/Research Scientist: Qingdao University, China

The Institution for Future is a newly established department in Qingdao University, nestling under the mountain and beside the sea in the beautiful coastal city of Qingdao. We have millions of funding and now seeking for some teammates who wish to lead the future with us. The following five labs are opening for candidates at all ranks (Post-Docs, assistant, associate, and full professor):

Image Processing / Machine Learning Algorithm Engineer

Our Group at Apple is looking for Image Processing / Machine Learning Algorithm Engineer. Please contact me for more details: tongasu@gmail.com.

• MS/PhD in CS/EE/Optics. 3+ years of related experience is required for MS
• Deep knowledge of image processing and computer vision
• Rich experience on algorithm development

Machine Intelligence Engineer

Are you passionate about machine intelligence? Are you excited about deep learning and neural networks? We’re looking for someone to help us craft groundbreaking new features using the latest advances in computer vision, food recognition, and machine learning technology. Attention to detail and a creative tilt are essential to success in this role, and we need someone who appreciates our obsession with beautiful design and implementation.

YOU WILL

    • Help ideate, design, and build new machine intelligence features

Radar - Communication

The Lab focuses on sampling, modeling and processing of continuous-time and discrete-time signals and on new design paradigms in which sampling and processing are designed jointly in order to exploit signal properties already in the sampling stage. This approach has the potential to drastically reduce the sampling and processing rates well below the Nyquist rate, typically considered as the ultimate limit for analog to digital conversion.

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