• Skilled in predictive modeling techniques like time-series analysis, anomaly detection, and machine learning models (e.g., LSTM, ARIMA, or LightGBM).
  • Strong programming skills in Python or R, along with familiarity with data science libraries such as TensorFlow, Scikit-Learn, or PyTorch.
  • Experience with sensor data, IoT, and real-time data analytics for monitoring HVAC and mechanical systems.
  • A degree in mechanical engineering, data science, or a related field with expertise in mechanical systems, especially bearings and HVAC systems (Preferred)
  • Knowledge of agriculture applications and environmental factors affecting HVAC systems in controlled environments. (Preferred)

工作详细内容

全部职位:
1 发布
工作时间:
Work from Home
工作类型:
工作地址:
性别:
没有偏好
最低学历:
学士
职位等级:
入门级
电话预约已成功,我们的专家会在短时间内与你联系:
少于1年
在之前申请:
Dec 13, 2024
发布日期:
Nov 12, 2024

Xia Jiaotong University

· 1-10 员工 - 上海

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