Deep Learning Instructor

Data Science Fellows Program

Deep Learning Instructor


About ITC:

Israel Tech Challenge (ITC) opens the door for talented professionals from Israel and abroad to accelerate their careers in technology while focusing on the most in-demand global tech skills. ITC offers its participants both training and job placement in top tech companies, along with strong networking in the Israeli tech community. To date, ITC introduced over 500 graduates from over 20 countries to the Israeli hi-tech industry.


Reporting directly to the Fellows Program Director, the Deep Learning Instructor will conduct Deep Learning lectures to students of our Data Science Fellows program –

a 5 month elite training course.


This is an hourly position based in our Tel Aviv campus.


Responsibilities:


  • Conduct approx. 7 lectures on the following Deep Learning topics: Intro to Neural networks, Optimization methods, Activation functions, Tensorflow and Keras, CNN (Including VGG and Alexnet), RNN, Monitoring Neural Networks, Deep neural networks etc...
  • Provide students with professional guidance throughout their training, facilitate their understanding of the material and identify patterns of struggle or success
  • Advise the program team on steps needed to advance weaker or excelling students
  • Provide the program team with a professional evaluation of the class



Requirements:


  • Fluent English speaker
  • Academic degree in a STEM-related field
  • Experience as a STEM educator in the field of Machine Learning and Neural Networks
  • Clear communicator with the ability to explain and simplify complex material and theory
  • Passionate about teaching new concepts to a highly-skilled student body
  • Skilled at public speaking in front of a large group of students



Additional Details:


  • Lectures will be divided into 7 sessions (once to twice a week during December 2019)
  • Some theoretical lectures can be filmed in advance allowing a greater focus on practice during sessions
  • Payment is hourly and will cover lecture and prep hours
https://youtu.be/IoggF3M8wRg