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2 Postdoc positions in ITUCPH, Denmark – Image Recognition and Human-Computer Interaction – Nov 2021

Denmark, IT University of Copenhagen (ITU)

The IT University of Copenhagen (ITUCPH) invites highly motivated individuals to apply for two funded Postdoc position for Image Recognition and Human-Computer Interaction – Denmark 2022

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General Info

Position: Postdoc positions
No. of Positions: 2
Research Field: ,
Joining Date: ASAP
Contract Period: 2 Years
Salary: According to standard norms

Workplace:
Robotics, Evolution, and Art Lab (REAL) and the Media, Art and Design group (MAD)
Digital Design Department
IT University of Copenhagen (ITU)
Copenhagen S, Denmark

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Qualification Details

The successful candidates should have experience in some of the following topics:

Position 1 (emphasis on machine learning)

  • Machine learning
  • Self-organizing neural systems
  • Image recognition

Position 2 (emphasis on design):

  • Experience design
  • Research through design
  • Digital art and aesthetics
  • Human-AI interaction

For both positions, the ideal candidate should have:

  • Commitment to work collaboratively on an interdisciplinary project
  • Good publication record

Responsibilities/Job Description

This cross-disciplinary project aims to make contributions to both Machine Learning and Human-Computer Interactionby improving image recognition systems for non-photographic images (such as art images) through novel neural network architectures and training methods, as well as through a research through design exploration using these technologies to design new ways of experiencing art.

Image recognition systems perform well when detecting objects in photographic images, but poorly when confronted with an image style that is different from the data used in training - in particular when dealing with non-photographic images. This is remarkably different from human vision: Even a very small child can recognize the same objects in photographies and simple drawings. We hypothesize that developing visual recognition algorithms that can recognize depictions in art images may give us a deeper understanding of computer vision compared to human vision, and may help develop ​more general and robust vision algorithms.​ The overall goals of this project is to address the lack of sufficiently large datasets of non-photographic images for training, as well as the ethical and cultural tensions between computer vision and human interpretation of images.

How to Apply?

Online Application through "Apply Now" Button from this page

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

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Documents Required

The application must be in English and must include:

  •  A motivated application, why you are interested in the position, and how your profile fits the position.
  •  A full CV, including name, address, phone number, e-mail, previous and present employment and academic background
  •  Documentation of academic degrees including grade transcripts that documents outstanding academic achievement.
  •  A research statement, which provides evidence of independent thinking, novelty and originality, and a state-of-the art grasp of the targeted research field.
  •  Applications may also include up to 3 relevant scientific publication written by the applicant
  •  A numbered list of publications. The enclosed publications should be marked with an asterisk (*)

Applications without the above-mentioned required documents will not be assessed.

It is understood that even highly qualified applicants will satisfy these requirements to varying degrees, for example because of differences in publication cultures in various research fields.

About the Department

The successful candidate will work together with Anders Løvlie (https://pure.itu.dk/portal/da/persons/anders-sundnes-loevlie(22ec9269-2fff-4dbf-a9c7-5037559a15ee).html) and Sebastian Risi (https://pure.itu.dk/portal/da/persons/sebastian-risi(a420ffb3-2ca6-4925-a25f-baaa5228fc15).html) and join the Robotics, Evolution, and Art Lab (REAL) and the Media, Art and Design group (MAD), which are interdisciplinary research groups at the IT University of Copenhagen (see https://real.itu.dk and https://mad.itu.dk/).

About the Employer: IT University of Copenhagen (ITU)

Note or Other details

Applications/enclosures received at ITU after the application deadline will not be taken into consideration. If you submit an application, it is your responsibility to ensure that it arrives before the deadline so please allow sufficient time for upload of publications and other documents.

The IT University invites all qualified researchers regardless of age, gender, religious affiliation or ethnic background to apply for the positions.

You can only apply for this position through our e-recruitment system. Apply by pushing the button "Apply for position" in the job announcement on our website: http://en.itu.dk/About-ITU/Vacancies

Applications must be written in English. All other documents, such as transcripts must be accompanied by a translation in English or Danish.

Please note that all application material will be destroyed after the assessment.

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Contact details

Questions about position 1 can be directed to Professor Sebastian Risi, IT University of Copenhagen, sebr@itu.dk

Questions about position 2 can be directed to Associate Professor Anders Sundnes Løvlie, asun@itu.dk.

Advertisement Details: Two postdoc positions for Image Recognition and Human-Computer Interaction

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