|
Imaging Scientist
* ]3 d. D$ G$ T2 N3 @公 司:A design company
9 R9 Z4 @: u- E1 C) o9 \% k8 f工作地点:上海. X9 K' @& n+ t w" R9 ?
# P5 Q. G$ O' _) p/ D" o
Responsibilities:
2 s* {. b+ }# A, EThe imaging scientist will be responsible for developing architectures, algorithms, and implementation details for new advanced pixels. 7 t! f- o! k4 V: y6 V
% g5 O/ |+ j! L$ S. J8 Y
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. * J3 x+ X( W9 I |
2. Work with an ASIC, CMOS process technology, advanced pixel design teams for optimal implementation.
" h7 ^* B' ?0 q: P) w3. Design in machine vision such as statistical pattern classification, neural networking, scene analysis, facial recognition algorithms
1 ]! F8 i" o5 s% \: F4 {, |4. Perform system modeling of camera pipeline components, including imagers and digital image processing modules. 5 [: p8 N. Y/ X& {" Y% ?. p
5. Perform signal analysis to evaluate quality of image processing algorithms and systems; Perform analysis and characterization of imaging sensors.
; X1 x r3 c! J: e! @- ]7 `3 P
Requirements:
; n/ ~# [) {6 g1. Ph.D. in Imaging Science, Electrical Engineering, Computer Vision, or related fields
" s5 ~) e. O* U5 n. l& y [5 z6 l) {2. In-depth knowledge of camera image processing pipeline 3 [0 i$ e" _& r! O0 r
3. Proficiency in C, C++ and / or Matlab coding to design and run simulations for complex image pipeline
6 z% u/ f N- E7 D4. Background in image processing in related industries, such as digital still camera or surveillance camera is a plus |, L9 Q( o5 h
5. Knowledge of hardware realization of the algorithms is a big plus
0 B! s: l( w8 e: C2 {; p# }6. Team player with good communication and presentation skills. " `" Q& b5 X! ?, N' w; Y
7. Well organized, methodical, and detail oriented. |
|