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Imaging Scientist
# X9 E3 Q0 a! @' t公 司:A design company
' @7 F# F4 C+ g6 i6 g2 t工作地点:上海$ S) u2 W7 ^0 T5 `- e( ?; o
4 j4 A# @- x4 DResponsibilities: & y. ]6 L4 F% h3 @% ]& e% C6 A
The imaging scientist will be responsible for developing architectures, algorithms, and implementation details for new advanced pixels.
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1. 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.
' C7 F. O! ^- x/ f% }2. Work with an ASIC, CMOS process technology, advanced pixel design teams for optimal implementation. $ p8 n' ^" Q6 q
3. Design in machine vision such as statistical pattern classification, neural networking, scene analysis, facial recognition algorithms
, x! U9 e1 i# e+ S4. Perform system modeling of camera pipeline components, including imagers and digital image processing modules.
* w5 {3 Y# C6 D$ R5. Perform signal analysis to evaluate quality of image processing algorithms and systems; Perform analysis and characterization of imaging sensors. / Y5 L6 B3 y. L, D
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Requirements:
0 q$ M: ^# a: T; i( g! p1. Ph.D. in Imaging Science, Electrical Engineering, Computer Vision, or related fields
0 a4 q7 t/ i, s* [2. In-depth knowledge of camera image processing pipeline 7 E& T# p9 m7 x% ~: @
3. Proficiency in C, C++ and / or Matlab coding to design and run simulations for complex image pipeline * Y& y* _# w' K3 ?/ o- |1 y
4. Background in image processing in related industries, such as digital still camera or surveillance camera is a plus
0 @! Q8 q2 Q) j0 P4 p) K5. Knowledge of hardware realization of the algorithms is a big plus
- c7 k/ x+ G* |' R* C3 G: B) c' J6. Team player with good communication and presentation skills. * F5 H& R% q8 s- D. \8 J
7. Well organized, methodical, and detail oriented. |
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