Autonomous systems such as drone fleets, mobile robots and sensor networks increasingly use federated learning (FL) to train shared models across many devices without centralising raw data. This PhD will develop a mathematical and algorithmic framework to assess and improve the resilience of FL-enabled autonomous systems under distribution shifts, explicitly accounting for the human in the loop.

The position carries an enhanced tax-free stipend above UKRI rates of approximately £25,000/year.

Autonomous systems such as drone fleets, mobile robots and sensor networks increasingly use federated learning (FL) to train shared models across many devices without centralising raw data. This PhD will develop a mathematical and algorithmic framework to assess and improve the resilience of FL-enabled autonomous systems under distribution shifts, explicitly accounting for the human in the loop.

The position carries an enhanced tax-free stipend above UKRI rates of approximately £25,000/year.