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KTH, Sweden – Postdoc in Computer Vision, Machine Learning Job – Nov 2021

KTH Royal Institute of Technology

Sweden

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Nov 1, 2021 23:59 (GMT +2)

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School of Electrical Engineering and Computer Science, Division of Computational Science at KTH Royal Institute of Technology recruits Postdoc in Computer Vision / Machine Learning – Sweden, Nov 2021

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General Info

Position: Postdoc
No. of Positions: 1
Research Field: ,
Deadline to Apply: November 1, 2021(GMT +2)
Joining Date: -
Contract Period: 2 Years
Salary: According to Standard Norms

Workplace:
Division of Computational Science
School of Electrical Engineering and Computer Science
KTH Royal Institute of Technology
Stockholm,

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Qualification Details

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume).
  • We are looking for a candidate with a PhD in Computer Vision, Machine Learning or a related discipline dealing with automated analysis of image information.
  • Previous experience with experimental evaluations using deep learning architectures applied to image data is necessary, preferably PyTorch.
  • A theoretical background in continuous mathematics for modelling convolutions and the influence of image transformations on image data is also necessary.

Preferred qualifications

Knowledge and skills that are meritorious for the position:

As a person you have excellent scientific and collaborative skills, in combination with independence, with very good ability to get into new scientific theories and conduct implementations and experimental evaluations in close collaboration with the research environment you are working in. Awareness of diversity and equal opportunity issues, with specific focus on gender equality is also important.

The preferred candidates should have demonstrated expertise (through publications) in any one of the following:

  • Deep networks that handle image information for computer vision tasks, including experimental evaluation using modern architectures for deep networks.
  • Continuous models for deep networks applied to image information.
  • Theoretical modelling of scaling transformations or other image transformations applied to automated processing of image information.

Great emphasis will be placed on personal competency.

Responsibilities/Job Description

In our research, we develop deep networks for processing image data that handle scaling transformations and other image transformations in a theoretically well-founded manner. Our research in this area comprises both theoretical modelling of the influence of image transformations on different architectures for deep networks and the experimental evaluation of such networks on benchmark datasets to explore their properties. The work also comprises the creation of new benchmark datasets, to enable characterization of properties of deep networks that are not covered by existing datasets. For examples of our previous work in this area, see https://www.kth.se/profile/tony/page/deep-networks

Within the scope of this postdoc position, you are expected to work on and contribute to the research frontier regarding scale-covariant or scale-equivariant deep networks and/or deep networks parameterized in terms of Gaussian derivatives, on specific research topics that we choose together.

The selected candidate will work closely together with the project leader Tony Lindeberg.

How to Apply?

Online Application through "Apply Now" Button from this page or from advertisement webpage (URL below)

Reference Number: -J-2021-2242
(If any, use it in the necessary place)

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Documents Required

The application must include:

• CV including relevant professional experience and knowledge.• Copy of diplomas. Brief summary of previous work. (Max 2 A4 pages in legible font size).• A statement of why you are interested in as well as suitable for this position. (Max 2 A4 pages in legible font size).• Contact details of two academic referees.• Information about when you would be available for this position

About the Employer: KTH Royal Institute of Technology

Note or Other details

For information about processing of personal data in the recruitment process please read here.

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Contact details

  • Tony Lindeberg, Professor, tony@kth.se
  • Natasha Kapama, HR, kapama@kth.se

Advertisement Details: Postdoc in Computer Vision / Machine Learning

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