Developing an advanced computing platform for urban/district energy & carbon management and eco-design

About this project

The School of Engineering and Computer Science at the University of Hull is one of the largest Schools/Departments within the Faculty of Science and Engineering. The School has a long history of excellence in research and in the application of research to address real world problems. The challenges facing the world are complex and require a multidisciplinary approach. As a general engineering school, we are able to bring together a wide range of expertise, experience and facilities to solving such problems. The ‘Energy Technologies Research Group’ is one of the most dynamic teams within the University and has achieved tremendous successes over the past SIX years.We’re now trying to make engineering systems more energy efficient, greener in their effect on the environment and safe, robust and sustainable in operation.

The School is seeking a qualified PhD candidate who will work on a UK Newton Fund project to develop an advanced computing platform for urban/district energy & carbon management and eco-designbased on Guangdong (China)’s energy data base. This platform will comprise: (1) fossil fuel energy consumption evaluation and saving implementation tool; (2) carbon emission prediction & reduction strategy development tool; and (3) renewable energy and eco-design tool. 

The post holder will work with a research fellow and other project partners from the UK and China to establish the design theory resulted from dedicated big-data sources, develop a computerised platform for the purpose of energy and carbon performance evaluation, prediction and management, as well as establish an eco-design tool based on cities and districts. 



Informal enquiries about this role may be addressed to Professor Xudong Zhao, Email:

Next steps


To celebrate the University's research successes, the University of Hull is offering a full-time UK/EU PhD Scholarship or International Fees Bursary.

Entry requirements

A qualified PhD candidate. You need to have some of the following skills or disciplinary backgrounds: Building Engineering, Civil Engineering, Architectural Engineering, or Renewable Energy Engineering, with good experience in computer modelling, simulation and data-processing. You are expected to have good communications skills in English. Knowledge in CFD, urban design, building energy system, and carbon control approach are required. In particular, computer programming is also important to this post.

How to apply

Apply now

Application deadline: Saturday 30th June 2018

Research options:

PhD: 3 years (full-time)