Cookies — it's your choice

At Bright Network we use cookies and similar technologies to help deliver you the best possible experience. Some are necessary to help our website work properly and can't be switched off, and some are optional but support Bright Network in building and running the service that we provide to you.

Data we store

You can find out more in our privacy policy at any time by going to the link in our footer.

  1. Home
  2. Internships
  3. Technology & IT Infrastructure
  4. Researchfish Data Science Internship for University of Sussex Remote 2024
Lock Applications for this job are now closed
Closing soon

Researchfish runs an online platform service that collects data on the outcomes of research projects on behalf of funders of research. These include outcomes such as publications, collaborations, awards, facilities used, and so on. This information is used by the funders to create a picture of what the funding is spent on. Some of the data is structured, some is free text. The data covers about 230,000 awards and 5M outcomes. 180 funding organisations use the system (EPSRC, MRC, UKRI, charities, other funders in the UK and funding organisations from 9-10 other countries). Some funders may have just 20 awards in the system, but others will have thousands.

We are interested in analysing this data in order to understand the key patterns and correlations. We would also like to establish the extent to which the analysis of the data can provide evidence for decision-making by the funders.

The role

We are seeking an intern / interns to develop algorithms and visualisation scripts to analyse and visualise the data.

Examples of research questions include:

  • Can specific characteristics of an award (e.g. funding mechanism, the duration, the size of the award and so on) be associated with an increased rate of particular outputs (publications, impact etc.), or other dependent variable?
  • Can a portfolio of grants be classified into groups with similar characteristics for the purposes of decision-making and prioritization?
  • Can research institutions be classified into groups according to types of outcomes they produce?
  • What are good ways to visualise different aspects of data?
  • What relationship does the information in Researchfish have with REF Impact Case Studies?

Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. 

Related Jobs