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Deep reinforcement learning for packing fruits and vegetables

Internship Work from home
Posted 4 Mar 2021

Degree level

Master

Job function

Engineering

Required language

English (Fluent)

Work experience

0 to 1 years

Salary

€250 per month

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Intressed to work on machine learning and vision models that will run on robots arround the world? We have several open internship positions within our team of experts and are looking for you! Please contact us for more information.

In order to make our packing algorithm suitable to cope with the large product varieties in fruits and vegetables, we need to find out how some of the latest deep reinforcement learning techniques could benefit the performance of the packing algorithm. In this internship you will research and design such a neural network which will be able to simulate the packing of fruit and vegetables based on gathered point-cloud data.

Job description

  • Perform a research on deep reinforcement learning-setups and training methods and determine how they can be used.
  • Develop the training model and build a test environment for this.
  • Combine and implement your model within the main software and perform tests.
  • Optimize the performance based on test results.

What are we looking for?

  • MSc. level thinking with knowledge of deep learning techniques.
  • You have experience with AI libraries (e.g. Keras, PyTorch,Tensorflow).
  • You are not afraid to dive into research literature.
  • You are available for 4+ months.
  • Experience with software development (C#.NET, C++, Python) is a big plus.
  • Fluency in English, Dutch is a plus.

What we offer you

  • A place within a young enthusiastic team of technical experts.
  • Practical experience of intelligent robot applications in the industry.
  • €250/month full-time internship
  • Possibility to work remotely
  • Travel cost allowance during your internship.

A possibility for a permanent job after you finished.

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About Viroteq
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Viroteq ontwikkelt en levert modulaire intelligentie voor het On-The-Fly stapelen en verpakken van objecten van verschillende formaten. Hierdoor vergemakkelijken we de inzet van robotica binnen de snel veranderende processen in de logistieke industrie. Onze software maakt hierin gebruik van slimme algoritmen die het mogelijk maken de inzet van robots flexibeler en efficiënter te maken voor zowel integratoren als eindklanten.

Logistics
Amsterdam
Active in 3 countries
5 employees
100% men
Average age is 25 years