Research Assistant/Research Associate in Computational Social Science (Fixed Term)

University of Cambridge
December 01, 2023
Contact:N/A
Offerd Salary:£29,605-£44,263
Location:N/A
Working address:N/A
Contract Type:Fixed-term: The fund
Working Time:Negotigation
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Research Assistant/Research Associate in Computational Social Science

(Fixed Term)

Applications are invited for a Research Assistant / Research Associate post on the project EQUATE - a new project that investigates how Artificial Intelligence (AI) could be made globally more equitable in area of Natural Language Processing (NLP). This UKRI Frontier project was selected for funding by the European Research Council (ERC) and is led by Prof. Anna Korhonen. The goal is to investigate the challenges in the development of globally equitable language technologies and to design transformative approaches to overcome them.

Responsibilities of the successful candidate include research into understanding the (in)equalities in the world's language technologies. This requires gathering and analysing diverse data related to the technological, socioeconomic, political, and cultural contexts of languages and language populations. The post holder will also help the project to develop a novel index that will profile the world's languages and language populations in terms of their readiness for language technologies. The successful candidate will also take part in performance evaluation, and dissemination of research findings.

The skills, qualifications and experience required to perform the role are:

  • An excellent first degree in computer science, statistics, sociology, economy or a closely related field and a PhD degree (or be close to obtaining one) in computational social science or a closely related computational or quantitative field.
  • Knowledge and experience of software and statistical tools relevant to conducting computational or quantitative research in social sciences.

  • Track record of authoring high quality academic publications.

  • Excellent oral and written communication skills.
  • Experience of conducting social science research using a wide variety of data and knowledge resources.
  • Experience of managing own workload.
  • Experience of working in a team.
  • The successful candidate will work as part of the interdisciplinary project team involving many local and external collaborators. They will be a member of the vibrant and highly research-active Language Technology Lab (https:// ltl.mml.cam.ac.uk) and the larger community of researchers who conduct cutting-edge research into NLP and AI within the University of Cambridge.

    Appointment at Research Associate level is dependent on having a PhD (or equivalent experience). Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

    Fixed-term: The funds for this post are available for 2 years in the first instance.

    The closing date for applications is midnight (GMT) on 1 December 2023.

    If you have any questions about this vacancy, for queries of a technical nature, please contact: Professor Anna Korhonen (email: [email protected]), or the application process, please contact the Schools HR team on [email protected].

    Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

    Please quote reference GP39256 on your application and in any correspondence about this vacancy.

    The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

    The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

    Further information
  • Further Information
  • Department/Location

    Faculty of Modern and Medieval Languages and Linguistics, Cambridge

    Salary

    £29,605-£44,263

    Reference

    GP39256

    Category

    Research

    Published

    2 November 2023

    Closing date

    1 December 2023

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