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Thesis project: 30 credits, starting in January 2021
If you are interested in natural language processing and deep learning, and would like to explore the limits of representing knowledge based on text and knowledge bases, this is the project for you! Be part of discovering novel knowledge at scale!
At AstraZeneca, we turn ideas into life changing medicines and strive to continuously meet the unmet needs of patients worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person.
In R&D IT and specifically in the AI Engineering Lab, we create scalable AI capabilities for our research colleagues, with the constant aim of delivering better science, faster.
Biology is a very knowledge rich domain, and incorporating said knowledge into the LM would potentially lead to much better contextual representations of entities. A lot of our use-cases revolve around finding entities that should share traits with a given one, e.g. finding all other diseases related to a given disease.
This project would amount to inducing the information contained in external knowledge bases into a language model, and assess the quality of the contextual word embeddings, and compare them to their non-enriched counterparts. The hope is that we would be able to extract potentially novel knowledge in this way.
- Knowledge of deep learning, transformers, pytorch
- Natural language processing
- Having worked with knowledge bases
- Cloud/devops experience
Deadline for application: 2020-11-05, selection and interviews will be ongoing. The position may be filled before the last day of application, therefore, apply as soon as possible.
About the company
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law. AstraZeneca only employs individuals with the right to work in the country/ies where the role is advertised.