Postdoctoral Research Associate

This new full time post is available from 6 January 2025 on a fixed term basis until 5 January 2028.

The post

The Faculty wishes to recruit a Postdoctoral Research Associate to support the work of Prof. Aline Villavicencio. This funded post is available immediately. The successful applicant will investigate strategies for more efficient and transparent machine learning models to generate accurate cross-lingual multimodal representations lower resource and lower frequency language, as well as to contribute to the design and development of resources and evaluation protocols.  

About you

The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies.

Applicants will have:

- A PhD in Machine Learning/Natural Language Processing or related field or possess an equivalent qualification/experience

- Be able to demonstrate sufficient knowledge in the discipline and of research methos and techniques to work within established research programmes.

- A strong publication record commensurate with career stage;

- Expertise in machine learning (applied to NLP), with experience in the analysis and development of deep learning models; 

- Experience in using libraries for NLP and deep learning;

- Experience in data annotation, data collection, and creating new benchmark datasets for evaluation;

- A willingness to further improve methods skills and to transfer knowledge to doctoral researchers and student assistants.

Please ensure you read the Job Description and Person Specification for full details of this role.

What we can offer you

• Freedom (and the support) to pursue your intellectual interests and to work creatively across disciplines to produce internationally exciting research;
• Support teams that understand the University wide research and teaching goals and partner with our academics accordingly
• An Innovation, Impact and Business directorate that works closely with our academics providing specialist support for external engagement and development
• Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career
• A multitude of staff benefits including sector leading benefits around maternity, adoption and shared parental leave (up to 26 weeks full pay), Paternity leave (up to 6 weeks full pay), and a Fertility Treatment Policy
• A beautiful campus set in the heart of stunning Devon 

Further information

For further information please contact Aline Villavicencio, a.villavicencio@exeter.ac.uk.

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