PhD opportunity in real-time environmental monitoring and response using machine learning-enhanced simulations

We are offering a self-funded PhD position with our Department of Computer Science at Brunel University of London, focusing on real-time environmental monitoring and response using machine learning-enhanced simulations.

Applications are accepted on a rolling basis.

If you have any questions about the project or would like to arrange an informal discussion, please reach out to Dr. Derek Groen at derek.groen@brunel.ac.uk.

Research area

This project focuses on integrating machine learning with simulation techniques to develop real-time monitoring systems for environmental disasters. You will create models that predict the impact of events such as floods or wildfires and adapt responses to fast-changing conditions.

Project description

Environmental disasters like floods and wildfires pose significant challenges to emergency management.

This PhD project aims to combine machine learning with simulation to develop real-time monitoring systems that integrate environmental disaster simulations with predictive models. By leveraging machine learning, these models can predict and adapt responses to rapidly changing conditions, providing valuable data for emergency management.

You'll work on developing and refining these models to enhance their accuracy and responsiveness. The goal is to create a robust system that can provide real-time data and predictions to support decision-making during environmental crises.

Key focus areas

As a PhD candidate, your potential focus areas include:

• Developing machine learning-enhanced simulation models for environmental monitoring
• Integrating real-time data into predictive models
• Enhancing the accuracy and responsiveness of disaster simulations
• Providing valuable data for emergency management and decision-making

Research approach

This project employs a multidisciplinary approach, combining advanced machine learning techniques with simulation and environmental science to improve real-time monitoring and response systems. You will:

• Explore machine learning applications in environmental monitoring
• Collaborate with experts in computer science, environmental science, and emergency management
• Develop comprehensive models to predict and respond to environmental disasters

Who we're looking for

Are you a motivated and passionate individual with an interest in machine learning and environmental science? We are looking for someone like you to join our research team.

Your passion for exploring and advancing this field will be essential, as will your innovative thinking to develop creative solutions to complex problems. Strong interpersonal skills will enable you to collaborate effectively with a diverse team of researchers.

While previous experience in conducting research, especially in machine learning or environmental simulations, is highly valued, it is not a strict requirement.

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.