We invite applications for a postdoctoral/senior postdoc research position in interactive and conversational systems in the Glasgow Representation and Information Learning Lab (GRILL) – https://grilllab.ai/ in the School of Computing Science at the University of Glasgow. GRILL Lab is a dynamic and growing research environment. The group was recently the winning team in the 2021-2022 Amazon Alexa Prize Taskbot challenge.

We seek a candidate who will lead and contribute to research projects on interactive and conversational systems at the intersection of NLP, ML, and Information Retrieval. This includes research on neuro-symbolic systems, open-domain and long-form question answering, retrieval-based augmentation, multimodal foundation models, automatic knowledge base construction, and conversational search/task-centric systems.

The position is working with PI, Jeff Dalton, and is funded by a UKRI Turing AI Acceleration Fellowship in collaboration with the Alan Turing Institute on “Neural Conversational Information Seeking Assistants.” Benefits for research staff include generous travel support and opportunities to collaborate with leading research groups (academic and industry) across the UK, US, and beyond. We particularly invite and encourage those from diverse backgrounds to apply.


University of Glasgow


A1 SCQF Level 12 (PhD degree) in a relevant subject or a cognate discipline or alternatively possess the equivalent in professional qualifications and experience, with experience of personal development in a similar or related role(s)

Knowledge, Skills and Experience
C1 Specialist theoretical and practical knowledge of text understanding (NLP), search (information retrieval), machine learning, or dialogue systems.
C2 A comprehensive and up-to-date knowledge of current issues and future directions in using machine learning (e.g. neural models) in information retrieval, NLP tasks and/or conversational systems
C3 Strong programming skills and experience developing and deploying machine learning techniques

For appointment at grade 8
C4 A reputation in and insight into, a relevant internationally competitive research area.
C5 Knowledge of current issues and future directions within the wider subject area
C6 Strong collaborative/project management ability, ideally including evidence of working with external partners (industrial or academic).

E1 Sufficient depth of relevant research experience normally including sufficient postdoctoral experience in a related field, appropriate to an early career developer / researcher
E2 A track record of presentation and publication of research results in quality journals/conferences, commensurate to SIGIR, ACL, SIGDIAL, NeurIPS, ICML, IJCAI or similar, with an emerging national or international reputation
E3 Experience of making a leading contribution in academic activities
E4 Experience in undertaking empirical research in natural language processing, information retrieval, or conversational/dialogue systems
E5 Experience in undertaking independent empirical research

F1 Knowledge of specialist appropriate techniques, including user simulation and user modelling, reinforcement learning, entity and knowledge-based representations
Experience deploying research software in commercial environments using cloud infrastructure
F2 Experience with learning from user interaction and behaviour data, including simulation methods
F3 Experience developing conversational agent and/or dialogue systems
F4 Familiarity with explainable AI and/or symbolic representations (knowledge graphs) and automatic reasoning
F5 Experience developing and deploying deep learning models
F6 Experience with deploying research software in commercial environments
F7 Experience developing new models and techniques using modern deep learning frameworks such as Tensorflow, Keras, PyTorch

For appointment at grade 8:
E7 Experience of leading and contributing to applications for research grants
E8 Experience in undertaking independent experimental, theoretical, and applied research

Educational level:

Ph. D.

How to apply:

Please mention NLP People as a source when applying


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