岗位职责 Responsibilities:

1.面向家电复杂物理控制过程，探索物理知识与机器学习方法的融合，推动智能优化研究。

Drive research on applying physics-informed machine learning to optimize complex physical control processes in home appliances.

2.研究物理约束下的数据驱动方法，结合机器学习/强化学习/贝叶斯优化等技术，探索能效与性能之间的最优平衡方案，并在仿真或实验平台上验证。

Develop data-driven approaches under physical constraints, applying machine learning / reinforcement learning / Bayesian optimization to improve efficiency and performance, and validate results via simulation and experiments.

3.与控制、系统、硬件团队紧密合作，将研究成果转化为可部署的算法原型或控制策略。

Collaborate with control, system, and hardware experts to turn research outputs into deployable algorithm prototypes or control strategies.

4.持续跟踪并总结前沿学术进展，撰写研究论文、技术报告及专利，推动学术与产业的结合。

Monitor cutting-edge academic research and produce high-quality papers, technical reports and patents.

专业知识 Skills and Knowledge:

1.具备跨学科思维，拥有扎实的物理、工程、控制、计算机或相关学科背景，能够将理论知识与实际应用相结合。

Strong interdiscip...