Overview

The School of Computing Science has announced several new opportunities for Lecturers/Senior Lecturers/Readers (Assistant/Associate Professors in UK) to develop, lead and sustain research of international standard in Media & Data Science; to actively engage in teaching at undergraduate and/or postgraduate level and to play a role in developing and executing School strategy, management and organisation.

The School has existing strengths in information retrieval and machine learning applied in contexts such as politics and social media, recommender systems, conversational interaction and search. As part of our plans to expand our research and teaching activities in this area and collaborate more closely with our neighbours at BBC Scotland, we aim to recruit in the topics of Information Retrieval/Machine Learning/Data Systems that have the potential to expand our existing strengths in media (including Social Media) and data science, including but not limited to topics such as:
• core machine learning technologies (e.g. graph convolutional networks, architectures for multimedia (video or audio) content)
• conversational interaction and search
• explainability/interpretability/ethics in information retrieval and/or machine learning, algorithmic bias, especially applied in a media context
• data science for communications media
• information retrieval from digital archives
• data science for politics and social media
• social media search & analytics
• music information retrieval
• algorithmic content generation
• personalisation including (context-aware) recommendation systems/interaction
• large-scale data and/or information retrieval systems
• user engagement modelling and predictive analytics

Company:

University of Glasgow

Qualifications:

N/A

How to apply:

Please mention NLP People as a source when applying

Apply online at http://www.gla.ac.uk/explore/jobs/ Vacancy Reference: 025440

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Over the centuries we've inspired great minds, from the father of modern economics, Adam Smith, to renowned physicist Lord Kelvin. Today we are a broad-based, research intensive institution with a global reach.

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