Artificial Intelligence (plants) PhD Projects, Programmes & Scholarships

We have 7 Artificial Intelligence (plants) PhD Projects, Programmes & Scholarships

Exploring plants’ sensing capability with vibroacoustics

University of Southampton Faculty of Engineering and Physical Sciences

Supervisory Team. Dr Michal Kalkowski, Dr Giacomo Squicciarini. Project description. We invite applications for a PhD position in plant vibroacoustics. Read more

Supervisor: Dr M Kalkowski

31 August 2024 PhD Research Project Competition Funded PhD Project (Students Worldwide)

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Investigating effects of environmental stressors on ecosystem function using hyperspectral leaf reflectance

Kingston University Faculty of Engineering, Computing and the Environment

There is an increasing urgency to understand the biochemical and physiological responses of plants to global environmental change. Read more

Supervisor: Dr O Duran

Year round applications PhD Research Project Self-Funded PhD Students Only

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Leveraging plant biomechanics under hostile environments

University of Southampton Faculty of Engineering and Physical Sciences

Supervisory Team: Dr Siul Ruiz, Dr Sharif Ahmed, Dr James Le Houx, Prof Tiina Roose. Project description. The UK food-related activities contribute to a staggering quarter of a trillion pounds (>10% of UK GDP in 2022). Read more

Supervisor: Dr S Ruiz

31 August 2024 PhD Research Project Competition Funded PhD Project (UK Students Only)

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Causal Machine Learning in Aerospace PhD

Cranfield University School of Aerospace, Transport and Manufacturing (SATM)

This PhD project will investigate the recent field of study of Causal Machine Learning, which aims to modify and augment Machine Learning by using Causal Analysis techniques as a way to solve its limitations. Read more

Supervisors: Prof W Guo, Dr MA Arana-Catania

24 July 2024 PhD Research Project Self-Funded PhD Students Only

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Co-op-Solve-M: A Co-operative Algorithm Framework for Solving Large-Scale Heterogeneous Problems with Multiple Objectives

The University of Manchester Department of Computer Science

Rapid developments needed in new energy technologies (e.g. for scalable generation plants that can provide a continuous supply) will depend upon solving linked and large-scale global optimisation problems. Read more

Supervisors: Dr M Lopez-Ibanez, Dr JK Knowles

1 May 2024 PhD Research Project Funded PhD Project (Students Worldwide)

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Co-op-Solve-M: A Co-operative Algorithm Framework for Solving Large-Scale Heterogeneous Problems with Multiple Objectives

The University of Manchester Faculty of Humanities Doctoral Academy, Alliance Manchester Business School

Supervisors: Dr M Lopez-Ibanez, Dr JK Knowles

1 May 2024 PhD Research Project Funded PhD Project (Students Worldwide)

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Evaluation of properties of wood pellets for Bioenergy and Carbon Capture and Storage Application

University of Bradford Faculty of Engineering & Digital Technologies

The current state of the art for utilisation of wood pellets is co-firing and the co-generation of biomass combustion products. The safe and effective storage, transportation and processing of wood pellets is then highly important for bioenergy applications. Read more

Supervisor: Dr N Rahmanian

Year round applications PhD Research Project Self-Funded PhD Students Only

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We have 7 Artificial Intelligence (plants) PhD Projects, Programmes & Scholarships

Artificial Intelligence (plants) PhD Projects, Programmes & Scholarships

We have 7 Artificial Intelligence (plants) PhD Projects, Programmes & Scholarships

Exploring plants’ sensing capability with vibroacoustics

Investigating effects of environmental stressors on ecosystem function using hyperspectral leaf reflectance

Leveraging plant biomechanics under hostile environments

Causal Machine Learning in Aerospace PhD

Co-op-Solve-M: A Co-operative Algorithm Framework for Solving Large-Scale Heterogeneous Problems with Multiple Objectives

Co-op-Solve-M: A Co-operative Algorithm Framework for Solving Large-Scale Heterogeneous Problems with Multiple Objectives

Evaluation of properties of wood pellets for Bioenergy and Carbon Capture and Storage Application

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