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
J2201172
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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.
Responsibilities:
1.Familiar with the whole process of radar system data processing, be able to complete the design of radar data processing subsystem independently, and have experience in data processing of distributed multistation radar, MIMO radar, and external radiation source radar is preferred;
2.Complete the implementation of radar data processing subsystem project at the front line, communicate with other subsystem principals, and cooperate with the team to complete the joint commissioning and test work of the whole system.
Qualifications:
1.Master degree in electronic engineering/radar engineering/signal processing and other related majors, more than 5 years of working experience;
2.Familiar with the working principle of the existing radar system, the principle of radar ranging, velocity and angle measurement, as well as the common radar algorithm, the radar echo model and target characteristics, and have a certain understanding of clutter fighting;
3.Familiar with the development of radar target recognition, classification, target definition and other related algorithms and software compilation, and complete the target tracking, approval building, motion trajectory, classification recognition, target management and other functions;
4.Familiar with MATLAB, C/C++, etc., and be proficient in the implementation and performance evaluation of common multi-point DF and positioning, TDOA analysis, Kalman filtering algorithm and data association methods.
Benefit:
Provide competitive remuneration.