MERL is looking for a self-motivated intern to develop predictive machine learning and optimization algorithms. Applications include time series prediction, anomaly detection, scheduling, and transportation. The ideal candidate would be a senior PhD student with experience in one or more of the following areas: machine learning, mathematical optimization, discrete-event systems modeling. Strong programming skills using C++/Python are expected. Experience with libraries such as scikit-learn, Pytorch is a plus. The intern is expected to work with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. The duration of the internship is expected to be 3 months. Start date is flexible.
- Research Areas: Data Analytics, Machine Learning
- Host: BinBin Zhang
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