Location: | Leeds |
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Salary: | £32,296 to £37,999 per annum (pro-rata) (Grade 6) |
Hours: | Part Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 6th January 2025 |
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Closes: | 20th January 2025 |
Job Ref: | AHCDE1301 |
Location: Leeds - Main Campus
Working time: 40%
Contract type: Fixed Term (until 30/08/25 to complete time limited work)
Are you an early career researcher looking for your first challenge? Do you have a background in data analysis? Do you want to further your career in one of the UK’s leading research intensive Universities?
Join our innovative research project as an Assistant Data Analyst. and make an impact through cutting-edge data analysis! We are looking for a skilled professional with expertise in R programming and text mining to drive insights from extensive text datasets. You will collaborate with a dynamic team of academic researchers and policy experts, tackle real-world challenges, and contribute to innovative policy solutions. If you have advanced R programming skills, advanced knowledge and skills of text analysis, and are passionate about leveraging data for meaningful results, this is the opportunity for you. Take your career to the next level with us!
Our Project is funded by ESRC Impact Acceleration Account. This Project will collaborate with Leeds City Council to generate the following research impact. First, we will explore innovative policy solutions and develop evidence-based policy advice to tackle the impact of scarcity, through analysing an extensive dataset. We will document and publish the policy advice in a Policy Brief and through workshops and seminars collaborated with Council officers and stakeholders. Second, we will introduce to Council officers our technical approach of investigating effect of scarcity using text data, and work with Council officers to explore further opportunities of applying text-analysis techniques in policy context, through workshops and a co-developed research proposals.
To explore the post further or for any queries you may have, please contact:
Dr. Boshuo Guo, Lecturer of Digital Fashion Marketing
Email: b.guo1@leeds.ac.uk
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