Cookies

To comply with new EU laws regarding "cookies", we have updated our Terms and Conditions and provided a detailed description of how cookies work and are used on this website.  By continuing to use this site, you are agreeing to those updated Terms and Conditions.
This notice should appear only the first time you visit the site.
View All Vacancies

Research Fellow in Data Science, Analytics and Visualisation (0.13 Full-time equivalent)

School of Computing, Engineering and Mathematics

Location:  Brighton - Moulsecoomb
Salary:  £35,845 to £42,792 pro rata
Fixed Term End Date: 31/01/2021
Closing Date:  Monday 06 April 2020
Interview Date:  Wednesday 22 April 2020
Reference:  SM4118-20-087

We are seeking to appoint a Research Fellow in Data Science, Analytics and Visualisation with specialist expertise to support the Digital Research and Innovation Value Accelerator DRIVA arts DRIVA (DAD) project (https://drivaartsdriva.com/), which is funded by the European Regional Development Fund and Arts Council England.

You will work as part of a specialist team in Data Science, Analytics and Visualisation who collaborate with the University of Brighton DAD project team and SMEs participating in the project. It is expected that you will continually keep up to date with data analytic knowledge required to access, analyse, demonstrate and query DAD requests in relation to the GAL data feed. You will expected to collaborate with colleagues to make recommendations as to how the Data Science, Analytics and Visualisation can best support to DAD project. You will also be able to translate knowledge from your understanding in the field of data analytics into workshops and support for DAD members.

To be successful in the post you will have:

  • Experience in project delivery by liaising and resolving on technical challenges
  • Sufficient, up to date breadth or depth of specialist knowledge in the discipline and of research methods and techniques
  • A good (1 or 2:1) degree, ideally a postgraduate qualification/PhD or an equivalent level of professional experience
  • Competent IT skills with specialist knowledge of software and tools in the field of data analytics

This post is part-time (0.13 FTE full time equivalent) and fixed term until the end of the project 31st January 2021. 

Please see that attached job description for full details of this post.

Email details to a friend
Further details:

The University is committed to an inclusive environment which embraces equality and diversity in our working, learning, research and teaching environment. We particularly encourage applicants from a Black, Asian and Minority Ethnic (BAME) background because the university is underrepresented by BAME staff.

Further information about working for us, as well as the wide range of benefits we offer, can be found in the working with us section of our vacancies page.


Login



Forgotten Details     Register

Back to top