PhD Internship, AI + Security FocusHeadquartersHKInformation Security ManagementApplyStaff Application
Responsibility
- Working location : Hong Kong / Shenzhen
- Research AI+ security core technologies : develop machine learning and deep learning algorithms for application models in security scenarios such as threat detection and anomaly analysis. 研究AI+安全核心技术:开发机器学习 / 深度学习算法在威胁检测、异常分析等安全场景的应用模型。
- Promote technology validation and implementation : design end-to-end AI security solutions (e.g. privacy protection and intrusion prevention) and, test and optimize in real-world scenarios. 推动技术落地验证:设计端到端AI安全解决方案(如隐私保护和入侵防御),并在实际场景中测试优化。
- Output insights on cutting-edge trends : track emerging technologies such as large model security, federated learning and produce actionable research reports or prototype systems. 输出前沿趋势洞察:跟踪大模型安全、联邦学习等新兴技术,形成可落地研究报告或原型原生系统。
Requirements
PhD students with focused on AI or cybersecurity (e.g. adversarial attack defense and secure large models). 全日制在读博士生, 聚焦AI或网络安全(如对抗攻击防御和安全大模型)。Solid technical skills : proficient in Python and mainstream frameworks (TensorFlow / PyTorch), with experience in security algorithm development. 精通Python及主流框架(TensorFlow / PyTorch), 有安全算法开发经验。Ability to quick adopt in implement technical solutions from English papers, with independent research and cross-team collaboration skills. 能快速融入与实践英文论文技术方案应用,具备独立研究和跨团队协作能力。