北京招聘

Through this program, Siemens Technology China is committed to building a more in-depth R&D team and laying a solid technological innovation force for Siemens China in the future development. We invite PhD graduates from all over the world, including AI, edge computing, digital twins, industry 4.0 and other research fields.

We are curious minds, ground breakers and innovation drivers. And we are human enthusiasts with diverse backgrounds, skills, interests and needs, united in a unique mission to create.

1. Impact of combining real and digital worlds

2. Opportunities for global working rotation

3. Involving in Digital Twin and Industry IoT

4. An inclusive and diverse team culture where you can be yourself

1. You are responsible for analyzing and understanding customer requirements, establishing a security model or analysis model that meets the requirements, and implementing the prototype.

According to customer requirements, prepare technical solutions, and participate in or lead technical implementation;

2. Work with the Siemens Security Analytics and Research team to conduct research and analysis on potential security threats in industrial networks and propose solutions.

3. Participate in the cooperation between Siemens CT and government agencies, domestic and foreign scientific research institutions in industrial information security domain.

4. Keep track of cutting-edge data analytics & AI technologies for potential usage in cyber security

1. You have a PhD’s degree in computer science, artificial intelligence, data analysis, information security or relevant majors

2. You have at least 3+ years of data analysis experience in solving cyber security problems with data analytics & AI analysis technology.

3. Familiar with the field of network information security, including but not limited to the following areas:

- System security analysis, for example: multi-language source code security analysis, Web vulnerability mining and utilization (SQL injection and XSS)

- Software reversal, such as kernel research, code obfuscation

- Vulnerability analysis, research and utilization

- IT and OT network monitoring, traffic analysis

- Cryptography and its applications, such as: communication encryption

- Logging and correlation analysis

- Computer Forensics Technology (Forensics)

4. Familiar with big data technology architecture technology: ElasticSearch+Logstash, Hadoop/Spark/Storm, etc.;

5. Familiar with data analysis algorithms, such as statistics, data mining, time series forecasting, etc