-
contribute to the development and validation of computationally efficient motor-twin models for permanent magnet synchronous machines. The work will focus on machine modelling, parameter and state estimation
-
(NextGen-Fi). The post will contribute to the development and validation of unique Unpiloted Airborne Vehicle [UAV] datasets. The work will focus on UAV data management, orthophoto optimisation and
-
Prof Jon Heffernan Application Deadline: Applications accepted all year round Details The EPSRC National Epitaxy Facility has a funded PhD studentship available for research and development in AI
Searches related to algorithm development
Enter an email to receive alerts for algorithm-development positions