Applications for this job are now closed
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.
