PhD Student in Automated Malware Analysis (m/f/d)
Munich, Bavaria, Germany
Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, we have established end-to-end advantages in telecom network infrastructure, application & software, and professional services and devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Our products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.
Huawei’s vision is to enrich people's lives through communication. By leveraging our experience and expertise in the telecom sector, we help bridge the digital divide and give people the opportunity to join the information age, regardless of their geographic origin.
Huawei’s Munich Research Center is responsible for advanced technical research, architecture evolution design and strategic technical planning. As a member of the Big Data Threat Analysis Team, your task will be to research and develop novel methods for automated malware analysis. Ranging from malware detection and family classification to attribution and long-term trend analysis, the tasks are very challenging and at the same time highly impactful, as the fight against malware serves to protect the wider society from crime. In collaboration with team members, other Huawei experts and external scientists, you will employ and advance state-of-the-art machine learning algorithms on large data sets to produce state-of-the-art results for both academic publication and industrial application.
Now we are looking for a PhD Student in Automated Malware Analysis (m/f/d)
- Research related academic work and understand open problems and scientific trends
- Investigate and prototype new techniques for automated malware analysis
- Publish your findings in the most impactful academic outlets
- Interact with data scientists and security experts to advance the state of the art in the field
- M.Sc.(Eng.) degree in Computer Science or a related field
- Deep interest for the topic and genuine motivation to fight against malware
- Experience in static and dynamic malware analysis
- Experience in machine learning
- Solid programming skills
- Fluency in English (written and spoken)
- Excellent intercultural communication and coordination skills
Must be eligible to work in the EU to be considered for this position.
If you are enthusiastic to shape the Munich Research Center together with us, being part of a multicultural team and growing environment, feel free to contact us. Driving future technologies with focus on customer satisfaction is one of our missions. Join us!