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Imaging Scientist) W8 e+ p7 R! q
公 司:A design company
W% O1 Y- Y9 G+ c/ a3 W5 R! Q工作地点:上海2 }# w0 D0 w7 n1 M( j
& v4 R, |& T# V3 M; vResponsibilities: ' r: j8 i) X \+ z: {4 ]2 |
The imaging scientist will be responsible for developing architectures, algorithms, and implementation details for new advanced pixels.
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( ^/ H) \+ K: B1. Design and development of image processing algorithms such as demosaicing, denoising, edge-enhancement, bad pixel correction, high dynamic range imaging, adaptive tonal mapping, AE, AWB, AF, still/video image stabilization and other scene analysis based algorithms. 2 @. a$ N% p# Z" ]# A3 O5 Q
2. Work with an ASIC, CMOS process technology, advanced pixel design teams for optimal implementation.
e: U' R. i! c, p9 ?- s+ ]8 F3. Design in machine vision such as statistical pattern classification, neural networking, scene analysis, facial recognition algorithms
$ J: t, K- C1 s" Y' w7 E) _4. Perform system modeling of camera pipeline components, including imagers and digital image processing modules.
, c x' i: F! B% s" m; T, C5. Perform signal analysis to evaluate quality of image processing algorithms and systems; Perform analysis and characterization of imaging sensors.
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Requirements: + Z+ J3 q+ O# O' s$ Q/ C
1. Ph.D. in Imaging Science, Electrical Engineering, Computer Vision, or related fields # O, F. N4 P! U: K0 \
2. In-depth knowledge of camera image processing pipeline % J l+ Q+ |, x* U8 \/ P, L
3. Proficiency in C, C++ and / or Matlab coding to design and run simulations for complex image pipeline 0 z9 r$ q! b8 g
4. Background in image processing in related industries, such as digital still camera or surveillance camera is a plus / p& d* w+ M/ ~- {: p. @
5. Knowledge of hardware realization of the algorithms is a big plus
- d! P& E( w5 {% _# R7 D& ^6. Team player with good communication and presentation skills. # ^* }# W7 a2 p
7. Well organized, methodical, and detail oriented. |
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