愛丁堡大學、奧克蘭大學最新PhD招生和獎學金信息

本期 老師為(wei) 大家推薦愛丁堡大學、奧克蘭(lan) 大學2023最新獎學金介紹。

01、愛丁堡大學

Physics-based mathematical modelling of water electrolyzer for hydrogen production

University of Edinburgh |School of Engineering

博導：Dr Prodip Das, Dr D Mignard

截止日期：2024年4月30日（周二）資助的博士項目（全球學生）

項目描述：About the Project

Water electrolysers are promising for hydrogen-powered grids, producing green hydrogen from renewable energy sources, and working in a pair with fuel cells or gas turbines. However, anecdotal evidence suggests that currently available electrolysers (both PEM and AEM) suffer from reliability and durability issues when run on the dynamic power supply that is typical of renewable electricity generation, as seen from accelerated material and performance degradation. In addition to the efficient operation under dynamic loading, an improved understanding of performance, cost and durability trade-offs, an understanding of degradation processes, and developing mitigation strategies to increase the operational life of electrolyser systems under dynamic operating modes using renewable electricity are essential to achieve their full potential.

These electrolysers involve multiphysics processes, such as species distributions, spatially varying current densities, and two-phase thermofluid flow, of which the direct experimental probing within operating electrolysers is extremely challenging. Thus, physics-based modelling and simulation would be important tools in the design and development of water electrolysers and complement experiments. Modelling results can provide insight and understanding of the component design and material properties on their performance. Computational modelling can also simulate the transport and electrochemical processes to aid the development of PEM and AEM water electrolysers efficiently and cost-effectively and for hydrogen-powered grid integration.

In this project, you will be developing a detailed physics-based mathematical model of a water electrolyser for hydrogen production that operates on the dynamic electric supply simulating renewable electricity generation (such as offshore wind). The model will be an electrochemical model of an electrolysis cell to simulate the performance of coupled thermofluid interactions, two-phase transport, and electrochemical processes within a representative single-cell geometry by leveraging the powerful meshing generation and commercial CFD solver (such as COMSOL Multiphysics). Additionally, you will entail model validation and verifying and explaining predicted trends seen in experimental data. The model should identify critical barriers and provide mitigation strategies to enable performance optimisation and durability mitigation for water electrolysers.

Funding Notes

Tuition fees + stipend are available for Home/EU and International students

02、奧克蘭(lan) 大學

Sustainable high-performance computing through minimisation of data transfer

University of Auckland |Faculty of Engineering

博導：Assoc Prof Oliver Sinnen, Dr Andrea Raith

截止日期：2024年3月30日（周六）

資助的博士項目（全球學生）

項目描述：

About the Project

Computer technology has truly conquered our work and life. While we stronglybenefit from it, computing consumes an ever increasing fraction of our energyproduction. Making computing more energy-efficient is therefore of paramountimportance, not least due to emerging computing needs of the sensationaladvances of machine learning and artificial intelligence. Technologicaladvances have made computers more energy-efficient over the years, usuallypaired with smart approaches to benefit from these advances. For example, thespeed of processors can be dynamically adjusted to reduce the powerconsumption and a lot of research has focused on algorithms using this.However, due to technological developments the movement of data has become asignificant source of energy consumption in the computation of a program.Almost all modern computers have more than one processor and data movesbetween the processors and the memories. Avoiding or minimizing this datamovement can significantly reduce the energy consumption of computers. In thisproject the PhD student will investigate a novel scheduling model andalgorithms that can allocate and order sub-tasks of a program onto theprocessors in such a way that the energy cost will be reduced, whilemaintaining similar execution speeds, hence making computing more sustainable.

Keywords: Parallel Computing, High Performance Computing, Sustainability,Energy-efficient Computing, Task Scheduling

Domains: Computer Science, Software Engineering, Computer Systems Engineering

Ideal start is early 2024.

This is a cross-department project by supervisors Assoc Prof Oliver Sinnen (Department of Electrical, Computer, and Software Engineering) and Assoc Prof Andrea Raith (Department of Engineering Science).

Funding Notes

PhD project with fully funded scholarship (stipend + fees) for the usual three years of PhD study (possibly extendable for 6 months).