Postdoc position in Multimodal Knowledge Graphs

Hi all,

We have an opening for a postdoctoral research associate at King's College
London for the next 3 years, see [1] and below for details. The successful
candidate will join prof Elena Simperl, dr Barbara McGillivray, and myself
in conducting research on multimodal knowledge graphs related to the
upcoming MuseIT Horizon Europe project. Application deadline is 11th
September, 2022.

I'd very much appreciate it if you could forward to relevant networks and
individuals, and please let me know if you have any questions.

Thanks,
Albert

[1]
https://jobs.kcl.ac.uk/gb/en/job/046966/Postdoctoral-Research-Associate-Multimodal-semantic-representations-for-cultural-heritage


*Job description*

We are seeking to appoint a postdoctoral research fellow with an excellent
track record in knowledge graphs, semantic web, machine learning, natural
language processing, and/or collaborative approaches. Topics of interest in
this area include, but are not limited to, semantic web, ontology
engineering, reasoning, multimodality, peer-production systems, machine
learning, embeddings, language models, provenance, and knowledge dynamics
and ontology change. The successful candidate will contribute to MuseIT, a
collaborative project between King’s College London and 10 other European
partners, funded by the European Commission (Horizon Europe) and UKRI. The
successful candidate will join the Distributed AI (DAI) group in the
Department of Informatics, King’s College London.

The post holder will work closely with dr. Albert Meroño Peñuela, the
co-investigator, prof. Elena Simperl (Department of Informatics) and dr.
Barbara McGillivray (Department of Digital Humanities. The candidate will
play a leading role in developing and testing computer science and AI
techniques for: building multisensory knowledge graphs of cultural assets;
scalable multimodal transformations through wikifunctions and machine
learning; digital rights management through provenance and other
trust-related technologies; and evaluating knowledge dynamics and ontology
change. The candidate is also expected to participate in the project use
cases and in scientific reporting (papers and deliverables). *We expect the
successful candidate to be able to show expertise in one or more of the
technical areas described above (knowledge graphs, semantic web, machine
learning, natural language processing, and/or collaborative approaches),
rather than in the domain of application of the project.*

The *MuseIT* project proposes technologies that facilitate and widen access
to cultural assets, and helps preserve and safeguard cultural heritage in
an inclusive way. Europe enjoys a rich history and an interwoven yet
diverse cultural heritage, that has traditionally been made available
through institutions and a large variety of projects.  However, in many
such efforts the perceptual modalities of sight and hearing have been at
the core, and often have been taken for granted. According to a report by
The World Bank “One billion people, or 15% of the world’s population,
experience some form of disability […]. One-fifth of the estimated global
total, or between 110 million and 190 million people, experience
significant disabilities.” To address this, MuseIT aims to promote
Inclusion, Participation, Accessibility and Equal Opportunities for All
through the development of a platform for remote immersive co- creative
engagement with cultural assets and experiences. The MuseIT project aims to
improve: (a) accessibility of cultural assets by developing multisensory
representations and alternative expressions (multimodal knowledge graphs
through wikifunctions and machine learning) to enable engagement by the
public regardless of functional or sensory impairments, (b) engagement with
cultural assets and cultural co-creation by a broader public (regardless of
variations in abilities and perceptual modalities), (c) methodologies for
preservation and safeguarding of cultural heritage with inclusion at its
core.

This post will be offered on an fixed-term contract for 36 months
This is a full-time post - 100% full time equivalent

*Key responsibilities*

Lead the development of methods, software and datasets that fulfil the
goals and requirements as specified in the project
Support the project partners in fulfilling their goals and requirements as
specified in the project
Communicate the scientific achievements in project deliverables and
scientific papers, engaging in advanced research
Undertake any other reasonable duties that may be requested by the
co-investigator
The above list of responsibilities may not be exhaustive, and the post
holder will be required to undertake such tasks and responsibilities as may
reasonably be expected within the scope and grading of the post.


*Skills, knowledge, and experience*
Essential criteria
1.       Knowledge Graphs
2.       Machine learning
3.       Semantic web
4.       Embeddings
5.       Natural language processing
6.       Ontology engineering
7.       Provenance and Trust
8.       Knowledge dynamics and change

Desirable criteria
1.       Knowledge of the domain of European cultural heritage
2.       Knowledge of Italian, French, Spanish, Greek, or Swedish (in
addition to English)