Job

Internship | Deep learning on LIDAR point clouds

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?

Deep learning has become a popular technique for the recognition of objects in images. Recently, localization of objects in point clouds has become an active research area. Impressive progress is being made on public datasets. These point clouds are typically from road side scenery. For instance they can be used in self driving cars or 3D object detection. However non-scientific datasets are typically not annotated in fine detail.

The research question is: how to detect objects of interest in Lidar point clouds where the annotations are limited in number and/or accuracy. This may help to improve the speed and efficiency by which these datasets can be analyzed.

You can start your internship at any moment from October 2019 onwards, for a period of 6 to 12 months. Keep in mind that the start date will be at least 3 months after your application due to an obligatory security screening process (see the remark below at ‘Application process’).

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 have some track record in the field of computer vision.
  • You have experience in programming in Python and deep learning frameworks such as Keras/TensorFlow/PyTorch.
  • You are pragmatic and focused on making things work.
  • Next to technical expertise we value communication skills and a client-oriented, results-driven attitude to add value to our clients and the Dutch society as a whole.

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 two 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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