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Postdoctoral Researcher, Machine Learning for 3D Reconstruction

abinder79 – Posted on March 15, 2017 at 9:23 am –


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We
are looking for a postdoctoral researcher
(2
years funded project from now)

who is keen to work on deep learning algorithms for multimodal 3D reconstruction from point clouds and images – at the Singapore University of Technology and Design.


Responsibility:

  • Develop
    novel machine learning approaches for 3d reconstruction with
    multimodal inputs, based on deep learning architectures

  • Drive
    research efforts towards papers for high level venues


  • Design
    experiment setups and run them

  • Interact
    closely with different members in the research group.

  • Writing
    testable code

Desired
Skills and Expertise
:

  • PhD
    degree in relevant fields and Publications in appropriate venues

  • Hands
    on experience in at least one of the major deep learning toolboxes

  • Understanding
    of principles of machine learning and deep learning in particular.

  • Experience
    in computer vision or computer graphics is a plus.

  • Experience
    in Multi-view stereo and structure from motion is a plus.

  • Code
    examples, e.g. in github are a plus

  • Comfortable
    working in a fast-paced, constantly evolving and multidisciplinary
    environment

  • Strong
    interest in prototyping new software and writing conference and
    journal papers

To counter an impression from the past: The
life costs in Singapore are lower than in many places in Central or
Western Europe, actually. Flatrent is pricier (though flat rents are cheaper close to the work place), everything else is
notably less expensive.

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We
are currently establishing the Vision, Graphics and Computational
Design (VGD) Group at the Information Systems Technology and Design
(ISTD), the Singapore University of Technology and Design (SUTD).
SUTD is a brand new university established with the Massachusetts
Institute of Technology (MIT).

Our
group is interested in research related to image, vision, graphics
and fabrication.

We
have strong collaboration with various outstanding institutions
including MIT, Zhejiang University (ZJU), Stanford University,
University of California, Los Angeles (UCLA),
TU
Berlin, Fraunhofer Society,

ETH, Hong Kong University of Science and Technology (HKUST), Chinese
University of Hong Kong (CUHK), National University of Singapore
(NUS) and Nanyang Technological University (NTU).


 


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