Applications are invited for a Research Assistant / Research Associate post on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more equitable. This UKRI Frontier project was selected for funding by the European Research Council (ERC) and is led by Prof. Anna Korhonen. The goal of the project is to investigate the challenges in the development of globally inclusive language technologies and to design transformative approaches to overcome them.
Appointment at Research Associate level is dependent on having a PhD. Candidates who do not yet have a PhD will be appointed as a Research Assistant and become a Research Associate on confirmation of their PhD.
Responsibilities
Responsibilities of the post holder include the development of new methods that improve the robustness, efficiency, sustainability, interpretability, fairness, cultural adaptation or other critical aspects of NLP, and integration of such methods to support NLP in multiple languages. The successful candidate will also take part in performance evaluation (including the creation of novel datasets), and in dissemination of research findings.
The successful candidate will work as part of the interdisciplinary project team involving many local and external collaborators. He/she will be a member of the vibrant and highly research-active Language Technology Lab (http://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.
Fixed-term: The funds for this post are available for 36 months in the first instance.
How to apply
In order for your application to be considered, please upload the following:
- Curriculum Vitae (CV)
- Research publication list
- Covering letter outlining how you match the criteria for the post and why you are applying for this role
- Names and contact details of two referees who are familiar with your work. Please be advised that references will be requested in advance for interviews for long listed candidates. Please inform your referees that reference letters may be requested shortly after the closing date. For this, please ensure your tick the relevant consent box as part of the application form .
If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
If you have any questions about this vacancy, for queries of a technical nature, please contact: Professor Anna Korhonen on alk23@cam.ac.uk, or the application process, please contact: MMLLPersonnel@admin.cam.ac.uk.