Location: | Leeds |
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Salary: | £32,296 to £37,999 per annum pro rata depending on experience (Grade 6) |
Hours: | Part Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 29th November 2024 |
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Closes: | 2nd January 2025 |
Job Ref: | BUSEC1011 |
Location: Leeds - Main Campus
Working time: 60% FTE
Contract type: Fixed Term (Until 31st July 2025- to complete specific time limited work)
We are open to discussing flexible working arrangements.
Do you have a background in Data & Computer Science, including Machine Learning? Are you looking to further your career at one of the UK’s leading research-intensive Universities?
We are seeking a highly skilled and innovative data & computer scientist to join our dynamic interdisciplinary team. This role involves collecting, tracking, analysing, and visualising critical data trends related to climate resilience, EPC ratings, clean energy access, house prices, and inequality. The ideal candidate will leverage their robust expertise in data & computer science, software development, machine learning, data analytics, and geospatial technologies to drive the creation of the project’s unique dataset, fundamental to conducting cutting-edge research and data-driven insights, and the development of its interactive web app with advanced data management capabilities that facilitates knowledge dissemination and stakeholder engagement. This includes, supporting research activities, contributing to research results and outputs and to the generation of independent and original ideas, ensuring a successful programme of investigation.
Salary Requirements of the Skilled Worker Visa Route
G6 - Please note that due to Home Office visa requirements, this role may only be suitable for first-time Skilled Worker visa applicants if they are eligible for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa
For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: www.gov.uk/global-talent
What we offer in return
And much more!
To explore the post further or for any queries you may have, please contact:
Dr Gissell Huaccha
Email G.G.Huaccha@leeds.ac.uk
Or
Dr Muhammad Ali Nassir
Email: m.a.nasir@leeds.ac.uk
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