We are looking for PhD or postdoctoral students for multimodal
processing of cultural digital archives at the Interaction Division of
Utrecht University, the Netherlands. The deadline for applications is
13 November.

Job description
Are you passionate about developing cutting-edge AI techniques to
enhance interaction and communication across multiple modalities, such
as text, pictures, audio, and video? Join the large scale HAICu
NWA-ORC project to help unlock the potential of cultural digital
archives through multimodal use, providing richer context and a more
comprehensive analysis of current complex issues in society. If this
fits your expertise and interests, the Interaction Division of Utrecht
University is seeking you!

Your job
We are looking for a PhD and a postdoctoral researcher to work within
the multi-partner HAICu NWA-ORC project. This vacancy is for the
Postdoc position, the PhD position is being advertised simultaneously:
PhD Position on Multimedia Analysis in the HAICu Project. There are
two research topics tackled in parallel for this project (see
description below). Based on the applications, the topics will be
assigned at PhD or Postdoc level. Both researchers will collaborate
within the project.

This project is implemented by an ambitious consortium including many
universities, knowledge institutions, archives, foundations, cultural
institutions and business partners in the Netherlands. It aims to use
improved access to digital heritage to tutor the Digital Citizen in
the use of big data. It brings together AI researchers and Digital
Humanities scholars to seek solutions to the problem of inadequate
data-mining tools we have, aiming to derive information from the
continuous stream of data about the present and the past. This will
help citizens and other regular users, heritage curators and
journalists who are interested in tapping heritage collections, as
well as civic organizations and authorities interested in improving
civic participation.

There are two research topics. You can indicate in your motivation
letter whether you prefer one or the other.

Research topic 1 targets visual and multimodal feature learning for
news ecosystems, analysing the complex multidimensional feature space
of visual information to support data-driven journalism. This includes
experiments for accountability, transparency, inclusiveness, and
misinformation. The key technology is multimodal deep learning, and
its extensions for these additional targets.
Research topic 2 targets audio and multimodal feature learning beyond
words, such as intonation, tone, stress and rhythm, in relation to
conveying emotion or messages, to support data-driven journalism. We
will research audio features (e.g. for speech and music) and their
relation to effective message conveying in news collections with audio
and video, and innovate multimodal search by integrated feature
learning in both visual and audio at the same time.

Research will include testing, validation and evaluation on large
scale and interoperable collections, in cooperation with the societal
partners in the project, including the Netherlands Institute for Sound
and Vision, the National Archive, and the National Library of the
Netherlands. The research will take place in collaboration with the
HAICu fieldlab ‘Deep Journalism’, which develops functionality for
searching for items about a similar topic from different archives and
with various modalities to support news journalists.

The Interaction Division is part of the department of Information and
Computing Sciences. It develops novel techniques to research
technology-mediated communication and interaction between people, and
communication and interaction between systems and people (users). The
technologies for interaction make use of various modalities, in
particular visual, auditory, and haptic modes, as well as combinations
of these. Three of the chairs in the division are collaborating in
this project. The Multimedia group (Professor Remco Veltkamp), the
Music Information Computing group (Professor Anja Volk), and the
Social and Affective Computing group (Professor Albert Salah).

Additional information
For more information, please contact Professor Remco Veltkamp at
R.C.Veltkamp@uu.nl.
Also see:
Postdoc position:
https://www.academictransfer.com/en/346135/postdoc-position-on-multimedia-analysis-in-the-haicu-project/
PhD position:
https://www.academictransfer.com/en/346136/phd-position-on-multimedia-analysis-in-the-haicu-project/

Do you have a question about the application procedure? Please send an
email to science.recruitment@uu.nl.

--
Albert Ali Salah
Prof. Social and Affective Computing,
Department of Information and Computing Sciences, Utrecht University,
www.cs.uu.nl
Personal: https://webspace.science.uu.nl/~salah006/

 

We are looking for PhD or postdoctoral students for multimodal
processing of cultural digital archives at the Interaction Division of
Utrecht University, the Netherlands. The deadline for applications is
13 November.

Job description
Are you passionate about developing cutting-edge AI techniques to
enhance interaction and communication across multiple modalities, such
as text, pictures, audio, and video? Join the large scale HAICu
NWA-ORC project to help unlock the potential of cultural digital
archives through multimodal use, providing richer context and a more
comprehensive analysis of current complex issues in society. If this
fits your expertise and interests, the Interaction Division of Utrecht
University is seeking you!

Your job
We are looking for a PhD and a postdoctoral researcher to work within
the multi-partner HAICu NWA-ORC project. This vacancy is for the
Postdoc position, the PhD position is being advertised simultaneously:
PhD Position on Multimedia Analysis in the HAICu Project. There are
two research topics tackled in parallel for this project (see
description below). Based on the applications, the topics will be
assigned at PhD or Postdoc level. Both researchers will collaborate
within the project.

This project is implemented by an ambitious consortium including many
universities, knowledge institutions, archives, foundations, cultural
institutions and business partners in the Netherlands. It aims to use
improved access to digital heritage to tutor the Digital Citizen in
the use of big data. It brings together AI researchers and Digital
Humanities scholars to seek solutions to the problem of inadequate
data-mining tools we have, aiming to derive information from the
continuous stream of data about the present and the past. This will
help citizens and other regular users, heritage curators and
journalists who are interested in tapping heritage collections, as
well as civic organizations and authorities interested in improving
civic participation.

There are two research topics. You can indicate in your motivation
letter whether you prefer one or the other.

Research topic 1 targets visual and multimodal feature learning for
news ecosystems, analysing the complex multidimensional feature space
of visual information to support data-driven journalism. This includes
experiments for accountability, transparency, inclusiveness, and
misinformation. The key technology is multimodal deep learning, and
its extensions for these additional targets.
Research topic 2 targets audio and multimodal feature learning beyond
words, such as intonation, tone, stress and rhythm, in relation to
conveying emotion or messages, to support data-driven journalism. We
will research audio features (e.g. for speech and music) and their
relation to effective message conveying in news collections with audio
and video, and innovate multimodal search by integrated feature
learning in both visual and audio at the same time.

Research will include testing, validation and evaluation on large
scale and interoperable collections, in cooperation with the societal
partners in the project, including the Netherlands Institute for Sound
and Vision, the National Archive, and the National Library of the
Netherlands. The research will take place in collaboration with the
HAICu fieldlab ‘Deep Journalism’, which develops functionality for
searching for items about a similar topic from different archives and
with various modalities to support news journalists.

The Interaction Division is part of the department of Information and
Computing Sciences. It develops novel techniques to research
technology-mediated communication and interaction between people, and
communication and interaction between systems and people (users). The
technologies for interaction make use of various modalities, in
particular visual, auditory, and haptic modes, as well as combinations
of these. Three of the chairs in the division are collaborating in
this project. The Multimedia group (Professor Remco Veltkamp), the
Music Information Computing group (Professor Anja Volk), and the
Social and Affective Computing group (Professor Albert Salah).

Additional information
For more information, please contact Professor Remco Veltkamp at
R.C.Veltkamp@uu.nl.
Also see:
Postdoc position:
https://www.academictransfer.com/en/346135/postdoc-position-on-multimedia-analysis-in-the-haicu-project/
PhD position:
https://www.academictransfer.com/en/346136/phd-position-on-multimedia-analysis-in-the-haicu-project/

Do you have a question about the application procedure? Please send an
email to science.recruitment@uu.nl.

--
Albert Ali Salah
Prof. Social and Affective Computing,
Department of Information and Computing Sciences, Utrecht University,
www.cs.uu.nl
Personal: https://webspace.science.uu.nl/~salah006/