Job

Internship | Semantic networks for zero shot learning

Can you use ConceptNet to train a deep learning network?

Location

Den Haag

Education type

university (wo)

Type

Internship and graduation project

Hours a week

Fulltime – 40

Interested?

Apply now

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What will you be doing?

In the department Intelligent Imaging we use deep learning algorithms to solve computer vision tasks. Deep learning algorithms are very popular in this field because of their superior performance compared to traditional machine learning methods, but they come at the expense of requiring large amounts of training data. For a new prestigious DARPA research program ‘Learning with Less Labels’, we are investigating new ways to train neural networks on less data. The ultimate goal is to train on an order 10^6 fewer samples compared to common approaches.
Zero shot learning is a learning process where no specific examples of a concept or target class are provided. ConceptNet is a freely available semantic network, based on crowd sourcing. In this project, it should help to explain new concepts in terms of known concepts, such as that a Granny Smith is an apple and that it is green. The goal of the MSc thesis project is to use ConceptNet (or its friends Wordnet or DBpedia) in translating a new concept to known concepts and use these to retrieve images from known data sources. Key to success will be to exploit the different semantic relations as exposed by ConceptNet to construct high performing classifiers.

What do we require of you?

You are in the final stages of your degree in artificial intelligence, computer science, physics, mathematics, electrical engineering or a similar degree and are familiar with deep learning and computer vision. 
You have experience in programming in Python. Knowledge of Keras is preferred.

What can you expect of your work situation?

TNO is an independent research organization whose expertise and research make an important contribution to the competitiveness of companies and organizations, to the economy and to the quality of society as a whole. Innovation with purpose is what TNO stands for. With 3000 people we develop knowledge not for its own sake but for practical application. To create new products that make life more pleasant and valuable and help companies innovate. To find creative answers to the questions posed by society. We work for a variety of customers: governments, the SME sector, large companies, service providers and non-governmental organizations. Working together on new knowledge, better products and clear recommendations for policy and processes. In everything we do, impact is the key. Our product and process innovations and recommendations are only worth something if our customers can use them to boost their competitiveness.

The Intelligent Imaging research group is a young, passionate and creative group of professionals (40 people) specialized in the development of groundbreaking applications in the fields of computer vision and deep learning. One third of the group has started working for us in the past four years.

What can TNO offer you?

You want to work on the precursor of your career; a work placement gives you an opportunity to take a good look at your prospective future employer. TNO goes a step further. It’s not just looking that interests us; you and your knowledge are essential to our innovation. That’s why we attach a great deal of value to your personal and professional development. You will, of course, be properly supervised during your work placement and be given the scope for you to get the best out of yourself. Naturally, we provide suitable work placement compensation.

Application process

 For this vacancy it is required that the AIVD issues a security clearance after conducting a security screening. Please visit for more information the AIVD website.

Has this vacancy sparked your interest?

Then please feel free to apply on this vacancy! For further questions don’t hesitate to contact us.


Contact: Wouter Uijens
Phone number: +31 (0)6-158 87391



Note that applications via email and third party applications are not taken into consideration.

Interested?

Apply now

Apply

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