Senior Research Project Officer Ref 20196
School/department: School of Engineering and Informatics / Science Cluster
Hours: Part time hours considered up to a maximum of 0.6 / 21.9 hours. Requests for flexible working options will be considered (subject to business need).
Location: Brighton, United Kingdom
Contract: permanent
Reference: 20196
Salary: starting at £32,411 to £36,333 per annum, pro rata if part time.
Placed on: 04 May 2023
Closing date: 23 May 2023 Applications must be received by midnight of the closing date.
Expected Interview date: To be confirmed
Expected start date: To be confirmed
This advert was recently posted on 4 April 2023 – Previous Applicants need not apply.
Job description
Are you an experienced senior administrator looking for a new challenge? Would you relish supporting excellent research that contributes to a better world?
We are delighted to be recruiting to a new and exciting role providing high level administrative support to our cutting-edge research and cross-disciplinary collaboration in the fast-growing areas of AI and data science.
In the role of Senior Research Project Officer, you will be based in the Department of Informatics working as part of a small team of academic and professional services colleagues to :
Develop and deliver a range of AI and data science focused activities including:
- Doctoral and MSc training programs, seminar series and scientific events
- activities that support student skills development such as hackathons and mentoring programmes
- events that bring together students, colleagues, and external partners, such as coffee mornings, training, and networking events
- advocate for the value and applications of AI & data science expertise both across the University and beyond it
- support research group or center management teams to establish targets and create annual progress reports.
- support academic colleagues with applications for funding opportunities.
- liaise with relevant colleagues and external partners on AI & data science placements for our students.
- improve and develop the processes that enable a research group or center to run effectively and efficiently.
- Support external presentation / dissemination of the research center and programmes, including web, press, social media.
You will be working with colleagues across all our varied research areas:
- Bioinspired AI, predictive coding, and consciousness
- Natural Language Processing (applications include ChatGPT)
- Fairness in AI and AI ethics
- Modelling large-scale health data, including collaboration with the Sussex Partnership NHS Foundation Trust on the Sussex Integrated Data Set (SID)
- Neuromorphic computing.
Success in this role will require an excellent organisational capability, strong communication skills and the ability to identify and creatively achieve goals. You will have an interest in the possibilities and future of AI & data science both in terms of academic research and their impact on society and the world.
A scientific qualification or background is not a requirement for this post; we are a team with varied backgrounds, interests, education, and experiences.
Please contact Gemma Harman G.Harman@sussex.ac.uk for informal enquiries.
The University of Sussex values the diversity of its staff and students and we welcome applicants from all backgrounds.
You can find out more about our values and our EDI Strategy, Inclusive Sussex, on our webpages.
Download job description and person specification 20196 [PDF 230.25KB]
The University requires that work undertaken for the University is performed from the UK.
Visa Sponsorship Queries:
"This role may be eligible for sponsorship. For a job to be eligible for sponsorship it needs to be assigned an eligible SOC code & meet minimum salary requirements and be full time. Please contact HRCompliance@sussex.ac.uk so they can check if this role can be assigned to an eligible SOC code and meets the minimum salary requirements. You can also consult our Skilled Worker Visa Information page for further information"
“Please note that this position may be subject to ATAS clearance if you require visa sponsorship.”
How to apply
Download our professional services application form - Dec 2020 [DOC 203.00KB] and Personal Details and Equal Opportunities Form [DOCX 65.11KB] and fill in all sections.
You must email your completed application, and personal details and equal opportunities form, to jobapps@sussex.ac.uk
You should attach your application form and all documents to the email in PDF format (we are unable to accept applications as google.docs or .pages) and use the format job reference number / job title / your name in the subject line.
You can also send your application by post to Human Resources Division, Sussex House, University of Sussex, Falmer, Brighton, BN1 9RH.