Marie Skłodowska-Curie Actions

Marie Skłodowska-Curie Fellow ITN

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    Kings College London
    United Kingdom
    Professions and applied sciences
    First Stage Researcher (R1) (Up to the point of PhD)


With a rapidly increasing degree of integration among the European countries, a rising number of events, such as Paris shootings and Brexit, strongly impact the European community and the European digital economy across language and country borders. This development results in a vast amount of event-centric multilingual information available from different communities in the news, on the Web and in social media. Cross-lingual technologies to efficiently access, analyse and interact with this information are of utmost importance for various stakeholder groups across Europe, including digital humanities, memory institutions, publishers, media monitoring companies and journalists. The Cleopatra project offers a unique interdisciplinary and inter-sectoral research and training programme addressing these challenges.

The main objectives are to:

  1. Facilitate advanced cross-lingual processing of event-centric textual and visual information on a large scale
  1. Develop innovative methods for efficient and intuitive user access and interaction with multilingual information
  1. Facilitate large-scale analytics of multilingual event-centric information and cross-cultural studies
  1. Educate a group of top-level scientists with unique interdisciplinary and intersectoral expertise in multilingual information science who will be enabled to take leading roles in research and industry in the future
  1. Establish an interdisciplinary curriculum for cross-lingual information analytics

We are looking for a highly motivated Marie Curie Fellow to join Cleopatra and carry out research to build human-in-the-loop solutions for cross-lingual, entity-centric text tasks. Relevant research challenges include: motivating and incentivising participation; quality of crowdsourced data; new interfaces to collect and validate crowd answers e.g., speech, AR; augmenting knowledge graphs through crowdsourcing.

You will:

  • Spend the majority of your time at King’s College London where you will perform research activities in the context of the Cleopatra project, including contributions to project deliverables (reports, events, presentations).
  • Engage with other researchers in King’s College London and within the Cleopatra network and participate in all relevant meetings and training program offered by Cleopatra.
  • Contribute to impact reports and dissemination and outreach activities, including updates of the project Website, trip reports, posters etc.


What is funded

The PhD studentship lasts three years and provides an allowance of £36,179.81 (Living + Mobility Allowance) to £39,677.84 (including Family Allowance, if applicable).


Applications are invited for a 3-year Marie Curie Early Stage Researcher position within the Department of Informatics, King’s College London, working with Professor Elena Simperl, ideally to begin in January 2020.


To apply, you must have a strong computer science or human computation interaction background (BSc or MSc degree in Computer Science, Web Science, HCI or related discipline), as well as outstanding data analysis, writing and communication skills. The ideal candidate will have solid programming skills e.g. Python and a good command of machine learning and other data science toolkits.


In order to be considered for this post, you will be required to complete the postgraduate application process. Please see link below:


To facilitate internal procedures, once you have applied for this funding please email your name, surname and application ID number to Professor Elena Simperl (elena.simperl@kcl.ac.uk), with a copy of your CV. Only successful candidates will be contacted.


The responsibility for the funding offers published on this website, including the funding description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.