Research Scientist - Control & Machine Learning
Gigaton · London
Today
HybridFull_timeindustrial process controlsystem identificationbayesian optimization
Today
Workplace
Hybrid
Employment
Full_time
Location
London
Posted
Today
Summary
Research Scientist developing machine learning and control methods for autonomous optimisation of heavy industrial plants, with a focus on improving efficiency and reducing emissions. The role involves research, experiments, and collaboration to bring methods into production; flexible working is offered.
Responsibilities
- Shape research agendas from live-plant challenges
- Develop models for physical-system identification and control
- Design experiments and establish strong baselines
- Incorporate plant physics and constraints into algorithms
- Evaluate methods and bring them into production
- Investigate deployed performance and failures
pythonpandasnumpyscipypytorchcontrol theorydata-driven controlsystem identificationbayesian optimizationprobabilistic modelingphysics-informed machine learningimitation learningmodel-based reinforcement learningdual controlactive learning
industrial process controlsystem identificationbayesian optimizationmodel-based reinforcement learningindustrial decarbonization
