Google Ghana Research Internship 2020

Research and Machine Intelligence is a high impact team that’s building the next generation of intelligence and language understanding for all Google products. To achieve this, we’re working on projects that utilize the latest techniques in Artificial Intelligence, Machine Learning (including Deep Learning approaches like Google AI) and Natural Language Understanding. We impact products across Google including Search, Maps and Google Now.

Application Deadline:31st January 2020.

Minimum qualifications:

  • Currently enrolled in a Master’s or PhD degree in Computer Science or a related technical field.
  • Experience (classroom/work) in Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Data Mining
    and/or Machine Intelligence/Artificial Intelligence.
  • Experience with one or more general purpose programming languages: Java, C++ or Python.
  • Experience with research communities and/or efforts, including having published papers (being listed as author) at conferences (e.g. NIPS, ICML, ACL, CVPR, etc).

Preferred qualifications:

  • Available to work full-time for a minimum of 13 weeks.
  • Returning to your degree after completing the internship.
  • Relevant work experience, including internships, full time industry experience or as a researcher in a lab.
  • Ability to design and execute on research agendas.

Application Procedure:

To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English.
Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):

  • 1. In the “Resume Section:” attach an updated CV or resume
  • 2. In the “Education Section:” attach a current or recent unofficial or official transcript in English.
    • Under “Degree Status,” select “Now attending” to upload a transcript.

For More Information:

Visit their Official PAGE

 

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