China Mobile International PhD Internship Overview
China Mobile International (CMI) PhD Internship is strategically designed aimed at offering doctoral students with immersive opportunities beyond the advanced academic research environment. By recognizing both depth and breadth of knowledge PhD students bring, talents are empowered to transform academic training into actionable insights with innovative solutions. This also serves to bridge up integration on advanced research expertise with practical, cutting-edge projects in industry, real-world applications across industry, governance and policy sectors.
PhD Internship Structure and Offerings
- Duration : Internship period typically 3 to 12 months, with high feasibility to accommodate between institutional academic schedules and CMI requirements;
- Mentorship and Support : Interns are paired with experienced expertise who provide insight exchange, guidance, performance feedback and career advice throughout the internship;
- Multidisciplinary Opportunities : Projects are available crossing over variety of fields, including but not limited to: AI algorithms, integrated application research and development, product application design and AI+ security;
- Remunerations : Competitive stipends are provided during internship, ensuring attainable and equitable access and engagement.
PhD Internship – AI+ Security Focus (AI+安全方向领域)
Working location: Hong Kong / Shenzhen
Responsibilities:
- 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。
All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.