Research Assistant on Interpretable and Explainable Deep Learning for Natural Language
Posted: 10th December 2020
Department of Computer Science, Parks Road, Oxford.
Research Assistant on “Interpretable and Explainable Deep Learning for Natural Language Understanding and Commonsense Reasoning”
Fixed term 15 months
Grade 7: £32,817- £40,322 p.a.
This vacancy is for internal applicants only
The Artificial Intelligence and Machine Learning group at the Department of Computer Science has a vacancy for a Research Associate on “Interpretable and Explainable Deep Learning for Natural Language Understanding and Commonsense Reasoning”, funded by the Alan Turing Institute.
Reporting to Professor Thomas Lukasiewicz, you will be responsible for carrying out research towards new approaches to interpretable and explainable deep learning for natural language understanding and commonsense reasoning. You will explore, generalise, and integrate deep learning approaches to structured data extraction and to large-scale logic-based reasoning, towards an interpretable and explainable deep-learning approach to human-like understanding and commonsense reasoning in natural language processing, and to investigate its applications in other disciplines, such as healthcare, engineering, law, and finance. You will also collaborate with Professor Lukasiewicz and members of his research group, providing guidance to junior members of the research group, including PhD students, MSc students, and/or project volunteers.
The primary selection criteria are a PhD degree in Computer Science, Mathematics, Statistics, Engineering, Computational Linguistics, or related discipline, together with relevant experience, in particular, possessing a good (theoretical and programming) background in machine learning, and knowledge representation and reasoning (desirably in deep learning and neural networks, deep-learning-based representations, natural language processing, and explainable and interpretable artificial intelligence), as well as good software engineering skills (especially in system implementations and experimental evaluations).
The closing date for applications is 12 noon on Thursday 7th January 2021. For further information and in order to apply, please log into HR Self Service and search for the position using the job title: https://staff.admin.ox.ac.uk/working-at-oxford/you-and-work/hr-self-service
Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example http://www.cs.ox.ac.uk/aboutus/women-cs-oxford/index.html, as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example maternity leave.
For further details and to apply please visit:
https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=148608