Deep Learning Internship – Biometrics

  • Internship
  • Belgium - Antwerp

Introduction

You are currently studying in a field that is related to computer science, and data science in particular, and are looking for a fast-paced environment where you can work with the latest machine learning technologies and data science tools. You will be part of our Data Science Team and will be working on developing an on-device user authentication system based on mobile sensor data. Remembering dozens of passwords and having to enter them each time is becoming a source of irritation and frustration for mobile phone users. At the same time, phone theft/fraud detection has been becoming a serious concern with the increase in mobile phone/device usage.

Job description

Your main objectives will be the design and implementation of a deep-learning based framework that uses mobile sensor data to perform user-authentication. Apart from the raw sensor data itself, certain high-level aspects related to the user like the walking patterns, phone handling, daily life events, etc. would help identify the real user of the device. Depending on the duration of the internship, you might additionally have the opportunity to gain a first-hand experience of deploying the framework you develop, on a device (mobile phone) and evaluate real-time performance. Sentiance transforms mobile sensor data into human-relatable intelligence, and hence this project sits at the heart of its technology.

Desired skills and expertise

  • You are a student (21 years or older) currently pursuing a degree in computer science or related field.
  • You have worked on and are passionate about deep learning.
  •  You have basic knowledge of Python and Tensorflow.
  • You have a strong mathematical background and analytical mindset.
  • You have a keen interest in machine learning and data analysis.
  • You are fluent in English. Dutch is a plus.
  • You can work independently and take matters into your own hands.
  • The ability to quickly learn new technologies and successfully implement them is essential.Bonus

Experience with any of the following is considered a plus:

  • Advanced Python & Tensorflow knowledge and experience
    • Scikit-learn, Pandas, Numpy, Matplotlib
  • Experience with Spark or the Hadoop eco-system
  • Machine learning, data mining, data visualization

Status: Internship
Location: Antwerp, Belgium

Please send us your resume and a strong motivation with reference sentiance/2017/DLIB.

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