Shenzhen Institutes of Advanced Technology (SIAT, http://english.siat.cas.cn) was jointly established by the Chinese Academy of Sciences and the Shenzhen municipal government in Feb, 2006. It consists of three institutes of multi-disciplinary researches: Institute of Advanced Integration Technologies, Institute of Biomedical Engineering & Health Technologies and Institute of Advanced Computing and Digital Engineering. Currently it has 1200 members, including 260 research faculties (of them 182 are hired from overseas, 10 IEEE fellows, 4 AIMBE fellows, two CAE academician), 380 staff members and 560 graduate students. As of the end of 2010, SIAT has attracted research funding total 550M RMB, published 1224 papers, applied for 391 patents and spun off 36 companies.

The Center for Digital Media Computing was established in January 2010 as one of the 5 research units in the Institute of Advanced Computing and Digital Engineering (http://szs.siat.ac.cn/eindex.jsp) of SIAT. The Center is dedicated to advanced researches in new media applications in the post web2.0 era. The current areas of focus are: 3-D video coding; integrated analysis, search and compression of massive amount of surveillance videos; city augmented reality; mining and visualization of large scale sensor data. The Center has immediate openings for research scientists at all levels and post-docs in the areas of multi-view video coding, image search and 3-D computer vision. We are looking for candidates with demonstrable research records in these areas and commitment to multidisciplinary research.

Job descriptions：

Perform basic researches that have potential applications in the related fields. Track the latest development in the area. Apply for government and industry research grants. Produce patents and publications that are of international impact. Conduct industrial collaborations for technology transfer and commercialization.

Requirements：

l  Candidate must have a doctoral degree in Computer Science, Electrical Engineering or related fields. Senior candidates (researchers and associate researchers) must have excellent publication records that are identifiable by peers. Junior candidates must have journal or top conference publications in the research areas.

l  Demonstrable research experience in

1.         For candidates of multi-view video coding:

l  Video compression technologies

l  MPEG, H.264, VP6/7 or other popular video standards

l  Multi-view video coding implementations

2.         For candidates of image search

l  Statistical approaches and machine learning

l  Video analysis such as object detection and tracing, event detection

l  Content based image retrieval

3.         For candidates of 3-D computer vision

l  Theories and approaches of 3-D computer vision

l  Stereo, Structure-From-Motion, light-field representation

l  Large scale optimization techniques

l  Experience with C/C++, Matlab, MFC or Linux development environment

l  OpenCV, OpenGL or GPU preferred

l  Good programming skills

l  Good oral and written communications skills.

The ideal candidate would be a creative thinker who enjoys tackling complex technical problems in a collaborative environment. Strong preference will be given to candidates with demonstrated intellectual curiosity, the ability to independently solve problems and present the solutions in logical and comprehensible ways. Applicants please provide 2-3 representative papers for references. Detailed information is available from: George Q. Chen, Director, Center for Digital Media Computing, Shenzhen Institutes of Advanced Technologies, Tel: (86) 755-8639-2315, Email: qian.chen@siat.ac.cn, Web: http://szs.siat.ac.cn/szmt. Applicants should submit a cover letter, curriculum-vitae, and a statement on their research interests.