[4eyes] Fwd: Job announcement: Please forward

[Matthew Turk]

FYI


-------- Original message --------
From: "Stork, David" <dstork at rambus.com> 
Date:07/16/2014  4:58 PM  (GMT-08:00) 
To: "Stork, David" <dstork at rambus.com> 
Subject: Job announcement:  Please forward 

Dear researcher,

     Please distribute the below job announcement to your senior graduate students, post-docs, and others seeking a research position in computer vision, computational imaging, pattern recognition, machine learning, and related topics.
     Many thanks in advance.

–David G. Stork



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Computer vision and computational imaging researcher

Computational Sensing and Imaging Group

Rambus Labs

Sunnyvale, CA



Rambus Labs, the research arm of Rambus, Inc., is seeking research scientists and engineers to invent and support the development of new methods and systems for computational sensing and imaging.  Rambus Labs has the explicit charter of performing research with a higher risk/higher reward properties than in most corporate research environments.  The Computational Sensing and Imaging Group (CSI) within Labs has pioneered a number of innovations, including most recently the binary pixel image sensor and the PicoCam family of ultra-miniature application-specific imagers and sensors.  CSI has an opening for a researcher in computer vision, computational imaging and image processing.  As the team computer vision specialist, you will work with a small interdisciplinary research group (optics, VLSI design, optical system design, machine learning, statistics, algorithmics, etc…) inventing and patenting key technology and prototyping systems in application-specific sensing and imaging, including mobile computing. 

Responsibilities

• Keep abreast of research developments at professional conferences and journals, as well to present your results in these venues
• Invent and help obtain patents on our research results
• Help present our innovations to external corporate partners and customers, all in support of Rambus’ mission of driving broad market adoption of our technology

The ideal candidate will have demonstrated creativity in identifying and inventing new computer vision algorithms and end-user applications and have the following domain expertise and experience:

• A PhD in computer science,  electrical engineering, mathematics, physics or imaging science; post-degree experience in industry or the academy is desirable

• Graduate-school level knowledge of still-image and video processing, pattern recognition and computer vision
• Knowledge of major methods of feature extraction, object recognition, 3D vision, tracking, …
• Demonstrated expertise in computer vision software tools and environments such as OpenCV, OpenGL, Cuda, GeForce, and graphics accelerators
• Strong research-level coding skills in C, C++, Matlab, Mathematica, etc.
• Ability to characterize and optimize the computational complexity of algorithms
• Strong mathematical skills, including linear and nonlinear analysis, optimization theory, transform theory, etc.
• Knowledge of statistics, estimation theory and Bayesian analysis
• Knowledge of basic computer graphics and optics is desirable

Candidates should have the following skills:

• Creativity and the ability to identify end-user applications and solve technical problems
• Excellent communication skills to technical and non-technical communities, both verbal and writing
• Ability to work both individually and as a team member
• Self-motivation, comfort in the fast-paced culture of Silicon Valley


To apply:  www.rambus.com/about/careers Job ID:  2675 or contact Dr. David G. Stork (dstork at rambus.com)

Attached is a set of recent papers from the Computational Sensing and Imaging Group:
[1]  P. R. Gill and D. G. Stork, “Hardware verification of an ultra-miniature computational diffractive imager,” in Computational Optical Sensing and Imaging, (Optical Society of America, 2014), pp. CTu3C–4.

[2]  D. G. Stork, “Joint optics/signal processing design for computational diffractive sensing and imaging,” in Computational Optical Sensing and Imaging, (Optical Society of America, 2014).

[3]  D. G. Stork and P. R. Gill, “Reading QR code symbols with an ultra- miniature computational diffractive imager,” in Computational Optical Sensing and Imaging, (Optical Society of America, 2014), pp. CTu3C–5.

[4]  D. G. Stork and P. R. Gill, “Lensless ultra-miniature CMOS computational imagers and sensors,” in SENSORCOMM 2013, The Seventh International Conference on Sensor Technologies and Applications, (2013), pp. 186–190.

[5]  P. R. Gill, “Electronic imaging & signal processing enabling a computer to do the job of a lens,” SPIE Newsroom, http://doi.org/10.1117/2.1201309.005108 (2013).

[6]  P. R. Gill and D. G. Stork, “Digital camera with spiral odd-symmetry phase grating supports full-resolution computational refocussing,” in Optical Sensors, (Optical Society of America, 2013), pp. ST2B–4.

[7]  P. R. Gill and D. G. Stork, “Lensless ultra-miniature imagers using odd- symmetry spiral phase gratings,” in Computational Optical Sensing and Imaging, (Optical Society of America, 2013), pp. CW4C–3.

[8]  P. R. Gill, “Odd-symmetry phase gratings produce optical nulls uniquely insensitive to wavelength and depth,” Optics letters 38, 2074–2076 (2013). 


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