-
skilled Research Assistant/Associate to lead our research efforts in developing data visualisation and interactive dashboard technologies within an integrated digital twin environment. The candidate will
-
, Daimler, project will be leveraged. Moreover, knowledge on data-driven decision making from The ReLiB Project (Faraday Institution's flagship, £18m, research project on challenges of re-using and
-
package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 12 May 2025 The Role The Statistics and Data Science group in
-
, and deliver data-driven design recommendations, directly impacting the efficiency and reliability of future electric powertrains. You must have experience working in industry or academia, hold a PhD in
-
Accountabilities Characterising particles supplied by the project partners using Ocular Systems technology Developing a DEM model for predicting packing density Developing algorithms and methods for processing data