Computer vision

Do you have a Doctorate academic degree in Computer Vision methods and 3+ years of experience in corporate research?

Have you specialised in these areas?

  • CV methods and SLAM

    SLAM, 2D & 3D detection/tracking, 3D reconstruction, Video classification & segmentation.

  • Optimisation

    Convex and Global optimisation in Computer Vision.

  • Software/system

    Embedded software (Linux/Android), and/or server level, DSP/GPU expertise, Multithreading, QT, Performance optimisation and software debugging.

  • Programming

    C++, Python programming.

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Deep learning

We are looking for candidates with a consistent trackrecord of mutiple projects in Deep Learning.

We welcome candidates with a natural language recognition background.

Have you specialised in these areas?

  • Neural Networks

    CNNs and RNNs: applied and current knowledge.

  • Algorithms

    Design & create algoritms for multimodal deep learning. Work with large datasets.

  • Frameworks

    Caffe and Tensorflow. Development on a proprietary Deep Learning platform.

  • Programming

    Outstanding C++ and Python programming skills. Robust coding for test, production and optimisation.

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Machine learning

If you an expert at PhD level to combine the image processing & CV methods to sophisitcated ML frameworks – we look forward to introducing you to your new corporate Research & Development employers.

Have you specialised in these areas?

  • Optimisation

    Redefine & optimise differentiable (kernel) parameters for loss/cost purposes.

  • ML algorithms and methods

    Defining ML (data prediction) algorithms and methods and models such as Markov.

  • Neural Networks

    Artificial Neural Networks, CNN.

Make yourself known