Location: | Manchester, Hybrid |
---|---|
Salary: | £36,924 to £45,163 per annum, dependent on relevant experience |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 17th December 2024 |
---|---|
Closes: | 17th January 2025 |
Job Ref: | HUM-027657 |
Job reference: HUM-027657
Salary: £36,924-£45,163 per annum, dependent on relevant experience
Faculty/Organisational Unit: Humanities
Location: Oxford Road
Employment type: Fixed Term
Division/Team: Social Statistics
Hours Per Week: Full Time (1 FTE) or two part time candidates on a job-share
Closing date (DD/MM/YYYY): 17/01/2025
Contract Duration: 24 months
School/Directorate: School of Social Sciences
We seek to appoint a Research Associate on a full-time appointment for 24 months to join the Computational Social Science training team of the UK Data Service (UKDS), based at the Cathie Marsh Institute. The post will start on the 1st of April 2025. Two part-time candidates working on a job share could also be considered.
This team specialises in upskilling social scientists in computationally intensive research methods such as machine learning, text-mining, synthetic data creation and interactive visualisations. The upskilling takes place through live training sessions (online and in-person), asynchronous learning materials and other formats such as drop-in sessions, live coding demonstrations etc. We are seeking someone with computational social science expertise to:
(1) contribute to an UKRI-funded project led by UKDS staff to upskill global data service staff in computational social science.
(2) contribute to the UKDS computational social science training programme.
There will be the opportunity for you to conduct your own research using computational social science as part of your role, but the majority of your time will be spent on preparing and delivering training. You will work closely with senior staff leading the programme of training and research work and with other staff employed to deliver training within the UKDS.
UKRI Upskilling Global Data Services Staff
This project aims to understand the current computational skills capacity of global data services staff as well as to explore and better understand how training can upskill those staff and fill knowledge gaps. This will involve:
UKDS Computational Social Science Training Programme:
This will involve
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Our University is positive about flexible working – you can find out more here
Hybrid working arrangements may be considered.
Enquiries about the vacancy, shortlisting and interviews:
Name: Jools Kasmire
Email: j.kasmire@manchester.ac.uk
Type / Role:
Subject Area(s):
Location(s):