Pattern Recognition and Application of Artificial Intelligence

The main reason is that our laboratory has no topics combined with other fields, such as medical image processing, remote sensing image processing, agricultural informatization, bioinformatics and so on. And we can only do theory. If you do applications, you can only do general applications, such as face recognition. But it seems that this is not very innovative and there are too many people doing it.

The work is very high-end For example, look at this recruitment information in Tsinghua University:

Sending station: BBS Shui Mu Tsinghua Station (Tuemar1515: 04: 35 2005), inside the station.

Hero: We are a well-known headhunting company in Beijing, and now we are entrusted by our clients to recruit senior researchers in image recognition, working in Beijing and Shanghai.

Position 1 Requirements:

1. Master degree or above in electric power, electronics, signal system, control engineering, graphic image processing or pattern recognition.

2. Have more than one year of practical work experience in related fields such as biometric identification, fingerprint image processing, image enhancement, feature extraction and matching. At the same time, he has practical research ability in signal processing, system engineering, image processing, computer vision, pattern recognition, statistical decision theory and other fields, or has published academic reports in the industry, and the winner of fingerprint technology competition is preferred.

3. Relevant skills and experience of C++ and Java object-oriented programming under 3.Windows and Unix(Linux) platforms.

4. After officially signing the contract and having the opportunity to go to the United States for training and study.

Requirements for position 2:

1, proficient in digital image processing technology, mastering image recognition technology, familiar with common algorithms of image processing, and an expert in image recognition industry;

2, proficient in vc++ programming;

3. Familiar with computing and application, network knowledge, and skilled use of common office software;

4. Good communication skills;

5. Be able to travel frequently;

6. Bachelor degree or above in pattern recognition.