We are seeking a highly motivated Research Scientist (Smart Sensing & Prediction) to drive innovation at the intersection of advanced sensing, AI and system integration. This role combines deep technical expertise with strong external collaboration skills, aiming to accelerate research outcomes through partnerships with universities, start-ups, and research institutes. 我们正在寻找一位充满热情的 研究科学家（智能传感器），在先进传感、人工智能与系统集成的交叉领域推动创新。该职位不仅需要扎实的技术研究能力，还需要具备优秀的外部合作能力，能够通过与高校、初创企业及研究机构的合作，加速研发成果的转化与落地。
The ideal candidate will not only push the frontier of smart sensing technologies but also act as a bridge between academia, early-stage ventures in China, and our internal R&D teams. 理想的候选人将既能探索智能传感技术前沿，又能作为公司与学术界和初创企业之间的桥梁。
Key Responsibilities
• Conduct applied research and development on sensing, prediction, and intelligent monitoring solutions.
开展感知、预测及智能监测相关的应用研究与技术开发。
• Develop signal processing, modeling, and algorithmic solutions for environment- and sensor-related applications.
面向环境与传感相关应用，开发信号处理、建模与算法方案。
• Support projects related to environmental risk assessment, condition monitoring, and classification tasks in indoor scenarios.
支持室内场景下与环境风险评估、状态监测及分类任务相关的项目开发。
• Explore the use of multi-source sensing information, including environmental and wireless signals, to improve system performance and robustness.
探索利用多源感知信息（包括环境信号和无线信号）提升系统性能与鲁棒性。
• Contribute to the development of prediction and classification functions for practical sensing applications, including tasks such as risk detection and presence/empty recognition.
参与面向实际感知应用的预测与分类功能开发，包括风险检测、presence/empty 识别等任务。
• Prototype and evaluate sensing solutions in relevant application scenarios.
在相关应用场景中完成感知方案的原型开发与验证。
• Design and implement embedded solutions for data acquisition, processing, and deployment of algorithmic functions.
设计并实现用于数据采集、处理及算法功能部署的嵌入式解决方案。
• Collaborate with cross-functional teams to translate technical concepts into practical solutions and product features.
与跨职能团队协作，将技术概念转化为实际解决方案和产品功能。
• Support data collection, testing, performance evaluation, and continuous improvement of algorithms and prototypes.
支持数据采集、测试验证、性能评估以及算法和原型的持续优化。
• Contribute to technical documentation, internal knowledge sharing, and project communication.
参与技术文档撰写、内部知识分享及项目沟通。