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Job Summary

  • Company

    Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences​

  • Location

    Shanghai, China​

  • Job Type

    Full Time

  • Salary Range

    Negotiable

  • Number to Recruit

    1

  • Job Reference Code

    J2201154

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Research on new vision algorithm

Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences
Shanghai, China

About Company:

Shanghai Institute of Mircrosystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), formerly known as Shanghai Institute of Metallurgy, was one of the earliest research institutes of Academia Sinica founded in1928. Since August 2001, the name has been changed to SIMIT according to its research fields and objectives. During the past 90 years, SIMIT always focuses on frontier of the metallic material science, and played a leading role in the scientific research. After the 1960s, SIMIT was again the first entity to have established the ultra-pure metal and III-V compound semiconductor materials research base, and first superconducting cable in China. Since 2004, SIMIT has developed a superconducting center dedicated to the fundamental research of superconducting material and electronics. Now the superconducting research center includes around 80 research staffs and 50 graduate students. The research field on superconductors has grown into one of the three major research field in SIMIT.
For further information of SIMIT, please visit our website: www.sim.ac.cn.


Job Details:

Responsibilities:

1.Research the cutting-edge computer vision technology, including but not limited to 3D reconstruction based on binocular vision, positioning navigation, scene understanding, visual reasoning, weak supervision and self-monitoring learning, model distillation, etc;
2.As principal lead the technical team to participate in the actual project, conduct cutting-edge technology research and try innovative methods for the problems in the implementation;
3.Track cutting-edge technologies and make relevant technological breakthroughs, as well as publish papers and apply for patents.


Qualifications:

1.Doctor degree in computer, automation, mathematics and other related majors, At least 3 years of working experience in machine vision and machine learning;
2.Experience in team and project leader, experience in independently leading and managing scientific research projects or product development is preferred;
3.Familiar with the basic digital image processing algorithms; familiar with the development trend of cutting-edge technologies in the field of new visual algorithms, and have the ability to use relevant technologies to solve practical problems;
4.R&D experience in pulse neural network, neural state circuit and optical computing is preferred;
5.Experience in modeling and simulation, experience in optical imaging system modeling, solution modeling, etc. is preferred;
6.Those who have won prizes in relevant competitions or have published top papers in relevant fields are preferred.


Benefit:

Provide competitive remuneration.

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