Enable job alerts via email!
A leading UK educational institution seeks an Academic Chair for the Data Scientist Development Programme. This role involves shaping strategic direction, overseeing interdisciplinary projects, and promoting equity in data science. Candidates should have relevant data science experience and a commitment to diversity. Join a program renowned for its impact and leadership in data science.
We are seeking an Academic Chair at grade 9 or 10 for the Leeds Institute for Data Analytics (LIDA) Data Scientist Development Programme (DSDP). Applicants can come from any subject area aligned with the DSDP aims of advancing data science employability and research activity across its Communities and Programmes: Health, Societies, Environment, Food, Artificial Intelligence, Immersive Technologies, Data Science Infrastructures, Data Visualization and Science of Data Science.
The DSDP is a competitive employability development programme for entry-level data scientists to work on two 6-month interdisciplinary research projects, all motivated by providing data solutions to challenges for the public good. The Programme is approaching its tenth year, with a strategic focus on growing Programme funding, partnerships and its research impact base. It offers a unique opportunity to develop and apply skills that are in high demand within industry and academia, nationally and globally, within a leading, state-of-the-art facility.
You will join a DSDP leadership team which includes:
LIDA's DSDP is an award-winning programme. It has contributed to seven research awards to date and won (in 2022) an award for its positive action approach to diversifying the data workforce across the categories of Global Majority, women and those from low socio-economic backgrounds.
The role supports the University's Equity, Diversity and Inclusion Strategy. LIDA particularly encourages applications from groups currently under-represented on the Programme and within LIDA, including female and Global Majority applicants. Applications will be evaluated on merit.