At a Glance
- Tasks: Join a vibrant team to research NLP and ML, tackling online disinformation.
- Company: World-leading university with a strong reputation in research and teaching.
- Benefits: Competitive salary, flexible working, generous leave, and professional development opportunities.
- Other info: Collaborative environment with diverse teams and outstanding career growth potential.
- Why this job: Make a real-world impact by developing AI tools for journalists and policymakers.
- Qualifications: Experience in NLP, ML, and excellent communication skills required.
The predicted salary is between 72000 - 88000 £ per year.
Are you interested in joining an internationally connected, world-leading research team in a vibrant natural language processing group? We welcome applications for a postdoctoral Research Associate position focusing on natural language processing (NLP), machine learning (ML) and computational social sciences (CSS).
Working predominantly as part of European-funded projects, you will use cutting-edge NLP and ML methods to research and analyse online disinformation and to develop an AI-based chatbot to guide key stakeholders (e.g. journalists, policymakers) in countering disinformation. You will collaborate and work closely with European partners, being part of a large and multidisciplinary team of researchers and developers.
You will be confident at leading the write-up and publication of your research results, translating complex technical insights into practical toolkits and white papers. There is dedicated scope and funding to disseminate your research via high-impact journals and international conferences, alongside opportunities to demonstrate the real-world societal impact of your work to key stakeholders.
This position is ideal for an inquisitive, collaborative researcher with excellent communication and stakeholder engagement skills.
The School of Computer Science was established in 1982 and has since attained an international reputation for its research and teaching. In the recent Research Excellence Framework (REF 2021), 99% of our research was rated in the highest two categories (4* and 3*), meaning that it is classed as world-leading or internationally excellent. Half of our research outputs were judged to be world-leading. We were rated as 8th in the UK (out of 90 institutions) for the quality of our research environment, and 70% of our impact was judged to be outstanding.
Much of our research spans the boundaries between engineering, medicine and the life sciences. Research in the school is organised into a number of groups: Machine Learning, Natural Language Processing, Speech and Hearing, Computer Vision, Foundations of Computation, Complex Systems Modelling, Pervasive Computing, Security of Advanced Systems, and AI x Software Engineering & Testing. We attract substantial external funding from UK Research Councils, the European Union and industry. Our record for leadership in collaborative research is outstanding, particularly in European programmes.
The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university. We offer a fantastic range of benefits including a highly-competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more.
We are committed to exploring flexible working opportunities which benefit the individual and University. We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
£38,784 to £47,389, with potential to progress to £51,753 through sustained exceptional contribution.
Research Associate in Machine Learning and Natural Language Processing in Sheffield employer: UAG
Queen Mary University of London is an exceptional employer, offering a vibrant work culture that fosters academic excellence and innovation. With opportunities for professional development and the unique experience of teaching in both London and Hainan, China, employees are encouraged to grow their skills while making a meaningful impact on students' academic journeys.
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We think you need these skills to ace Research Associate in Machine Learning and Natural Language Processing in Sheffield
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