Location: | Guildford |
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Salary: | £13,992 per annum pro rata (0.4 FTE) |
Hours: | Part Time |
Contract Type: | Permanent |
Placed On: | 30th May 2024 |
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Closes: | 16th June 2024 |
Job Ref: | 024924 |
Post Type: Part Time (0.4 FTE)
Interview Date: Friday 21 June 2024
The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.
We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.
Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.
The role
Applications are invited for a Research Assistant (RA) role in the School of Computer Science and Electronic Engineering to work as part of a experienced research team on the "Lightweight character level embeddings" project funded by eBay Inc. This is a part time position.
This role requires the RA to conduct experiments on e-commerce data from an industry partner on the project. The project entails deploying efficient embedding models in a dual encoder framework specific to the e-commerce domain.
The RA will undertake a variety of research activities within the field of natural language processing and designing, developing, and validating neural network architectures to enhance query-title retrieval and ranking efficiency. The role also requires using initiative and creativity to identify and develop new research methods, thereby expanding the research portfolio.
About you
Applicants should have a Master's degree (gained or near completion) or equivalent professional experience in NLP or computer science. Applicants will need to have a good understanding of Natural Language Processing pipeline, Machine/Deep Learning, Python and the Pytorch framework.
How to apply
Please apply on the University website, submit your CV and cover letter with your application.
For any further questions, please contact the principal investigator at d.kanojia@surrey.ac.uk
Please note interviews are scheduled to take place week commencing 17th June 2024.
Further details:
For more information and to apply online, please download the further details and click on the 'apply online' button above.
In return we offer a generous pension, relocation assistance where appropriate , flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.
Click here to find out more about the benefits we offer to support you.
The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.
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