Start Date
Immediate
Expiry Date
18 Jul, 25
Salary
40497.0
Posted On
16 Jun, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Communication Skills, Collaboration Tools, Social Media, Computer Science, Physics, Professional Development, Apps, Mathematics
Industry
Education Management
Community Manager for Digital Research Infrastructure (Job Number: 25000675)
Department of Computer Science
Grade 7: - £38,249 - £40,497 per annum
Fixed Term - Full Time
Contract Duration: 30
Contracted Hours per Week: 35
Working Arrangements: The role is full time, but we are undertaking a hybrid pilot looking at how best our staff can work flexibly and on and off campus.
Closing Date: 18-Jun-2025, 5:59:00 PM
Disclosure and Barring Service Requirement: Not Applicable.
WHAT YOU NEED TO DEMONSTRATE WHEN YOU APPLY
When you apply it is important that you let us know what skills/experience you have from a similar role and/or what skills/experience you have which would make you right for this role. Further information about the role and responsibilities is at the end of this job description. Where a criteria has an asterisk* next to it, it may be given additional weighting when your application is considered.
Your application should cover the following criteria:
QUALIFICATIONS/EXPERIENCE
SKILLS/ABILITIES/KNOWLEDGE
QUALIFICATIONS/EXPERIENCE
THE ROLE AND DEPARTMENT
Durham University’s Department of Computer Science and the Institute for Data Science have recently secured multiple research projects within the remit of Digital Research Infrastructure (DRI) upskilling. These projects aim to create an upskilling landscape – predominantly for simulations and AI running on HPC machinery – for the whole UK DRI community. This includes creating material for this upskilling, organising upskilling events, but also understanding the needs and requirements of the target community. Therefore, we are searching for a community manager who can liaise with the UK’s DRI landscape – this includes research software engineers, platforms experts, PhDs, PDRAs and academics – and build up a thriving community which is committed to world-leading research.
The candidate will work in close collaboration with the PI (located in Computer Science) and will be placed in the offices of the Insitute for Data Science in Montjoy.
Further information about the role and the responsibilities is at the bottom of this job description.