2018 Spring Co-op/Internship - Data Science - PhD (Machine Learning/Wireless)

About Uhana

Uhana is an exciting new startup founded to commercialize groundbreaking Stanford research on software defined mobile networks. We are harnessing the power of SDN, machine learning, and predictive analytics to manage and optimize mobile networks. We are based in Palo Alto, CA and are well funded by top-tier VCs. You will get to work with Stanford graduates and seasoned ex-Google, Qualcomm, Vmware professionals. 

Basic Qualifications
  • Currently enrolled in a Ph.D. degree program in Computer Science, Computer Engineering, or related technical discipline with a focus on software development
  • Currently enrolled in university and plan to return for additional school terms prior to graduating
  • Must be enrolled at a university that has a formal co-op or off-cycle internship program (would not interfere or delay your academic schedule)
  • Able to work full-time (40 hrs/week) minimum of 12 weeks or more starting from Jan/Feb 2018

Data Science Skills: 
  • Knack for choosing the best-fitting technique for data at hand from a repertoire ofadvanced machine learning techniques such as nonlinear regression, support vector machines, random forests, and time-series forecasting 
  • Ability to scientifically draw insights from large volumes of noisy data by combining bootstrapping, feature selection/engineering, dimensionality reduction, and clustering; ability to rapidly iterate on custom learning pipeline designs
  • Intuition into computational performance and parallelizability of models for translating designs into scalable implementations and trading accuracy for efficiency when needed

Wireless Skills: 

  • Understanding of control and management architectures like SDN controllers, WiFi controllers
  • Database replication and messaging protocols
  • Ability to communicate clearly, organize effectively
  • Familiarity with wireless software stack for LTE - L2 and L3 protocols, MAC scheduler,  RRM and SON


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