|Published||February 25, 2023|
|Location||Brighton, United Kingdom|
The Data Intensive Science Centre (DISCUS) are creating a new team to develop our knowledge and technology transfer activities with industry and other external partners.
As part of the Centre and with support from the Research Assistant in Data Science, you will develop projects that apply data analysis in novel ways to real-world data from external partners to solve real-world problems.
You will facilitate innovation and knowledge exchange projects by
- developing machine learning canvas sessions in collaboration with domain specific experts where needed
- gathering requirements of potential external collaborators and contribute to the design of potential knowledge exchange projects
- carrying out the multiple stages of a data science project lifecycle
- disseminating results of research and best practice as appropriate.
Please contact Louise Winters (L.Winters@sussex.ac.uk) for informal enquiries.
The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex.
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.
The University requires that work undertaken for the University is performed from the UK.
Visa Sponsorship Queries:
"This role has been assigned an eligible SOC code however to meet the minimum salary requirement this is dependent on the salary you are offered and/or whether you are eligible for tradeable points. If you require visa sponsorship from the University of Sussex to undertake this role please consult our Skilled Worker Visa information page for further information. If you want further advice on sponsorship eligibility please contact HRCompliance@sussex.ac.uk"
“Please note that this position may be subject to ATAS clearance if you require visa sponsorship.”
How to apply
Download our academic application form [DOC 199.50KB] and Personal Details and Equal Opportunities Form [DOC 119.50KB] and fill in all sections.
Email your completed application, and personal details and equal opportunities form, to firstname.lastname@example.org
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.