An Artificial Intelligence–based Approach to Estimate the Cost of Net-Zero Transition PhD

Doctoral and postdoctoral

The total service fee for this program:

€ 499

Pre payment for this program:

€ 99

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This program has OFFER event

Discount event for this program

Mie exceptional discounts

The amount of discount for this event

100 €

The total service fee for this program after discount:

€ 399

ABOUT

Net-zero’ is a sustainability development concept that refers to the balance between the amount of emissions produced and the amount removed from the atmosphere. In the UK, the Net-zero transition target by 2050, obligates industries to act agile and invest in Net-zero technologies and techniques to either reduce or capture the emissions from their processes. General speaking, there are three main investment strategies available to the industry: 1) to invest in greater energy infrastructures, 2) to invest in renewable energy and 3) to invest in Carbon Capture, Usage and Storage (CCUS) technologies, and also the combination of these options.

The approach industries may take and the level of investments vary from one sector to another sector and there is no single solution. However, there is no doubt that the industry strategy for the Net-zero transition should fulfil profitability, sustainability, and competitiveness together. In addition, their investment choice can be influenced by several risks and uncertainties in terms of the climate they are operating, the market value, feasibility of new technologies, etc.

As a result, this PhD project aims to answer the question of ‘How to estimate the cost and value of net-zero transition more effectively in the presence of multiple uncertainties and unknowns?’

Several challenges and limitations exist in the current cost and value estimation approaches that make the cost estimates inaccurate and untrustworthy. These barriers mainly arise from several uncertainties in cost data, lack of data and the complexities with operations and financial markets. Too little cost data makes the cost prediction inaccurate, and too much data raises several complications with data analytics that leads to many inevitable errors.

The focus of this PhD is two-folded; First, to develop a generic net-zero transition cost model that applies to businesses and industries in different sectors. Second, implement advanced ontology engineering and artificial intelligence techniques to improve cost estimation under multidimensional uncertainty. The PhD candidate is expected to develop and execute cutting-edge machine learning techniques together with system design approaches (e.g. ontology-based and agent-based modelling) to predict the cost of net-zero transition. This PhD research will focus on integrated strategies using machine learning and cost ontology methods to develop an intelligent and effective ontology system for estimating costs.

 

Entry requirements

Candidates should have a minimum of an upper second (2.1) honours degree (or equivalent) preferably in Statistics, Computer Science/ Industrial Engineering / Mathematics / Operations Research but candidates in other degrees related to Engineering or related quantitative fields would be considered. Candidates with an MSc degree in these disciplines will be desirable

 

  • Application deadline 01 Aug 2022

FREE VISA SERVICE

One of our very suitable solutions for applicants is to provide free visa services to study in this field from a pleasant country. If you need to receive free visa services, let us know your request

Expenses (GBP)

Tuition

21740

GBP

Application Fee

0

GBP

Program expenses

University & General Expenses

REQUIREMENTS

Minimum Level of Education
Min GPA (max=100)

50

IELTS
7.00

accommodation

The School of Water, Energy and Environment, the School of Aerospace, Transport and Manufacturing, and the School of Management are located on the Cranfield Campus, as well as many industrial-scale facilities for research.
There are many facilities on Cranfield Campus, including: student accommodation options, two hotels with full accommodation and conference and banqueting facilities, sports and recreation facilities, and a private airport. Cranfield Campus sports facilities include several tennis courts sports pitches, playing fields, an aerobics stadium, and a fitness center.
Students admitted to a full-time course can apply for on-campus accommodation. They will also be able to find private housing off campus in nearby areas. Cranfield Campus has 1,466 single rooms, 75 studio apartments for couples, and 97 family homes including two-bedroom, three-bedroom, and four-bedroom houses. All dormitories have Wi-Fi internet connection. All students will benefit from Endsleigh insurance, which covers the risks that may occur while living in student accommodation.
Cranfield University provides many opportunities for students to participate in a various range of societies and clubs, such as the Musicians Society, Astronomical Society, and Basketball Club. The Cranfield Student Association is managed by a team of selected students. It is also supported by a small team of staff. Its purpose is to promote student welfare and to organize cultural, social, and sporting activities.
Cranfield has a wealthy collection of library resources and services to support students’ academic work. This collection has nearly 200 academic and leading commercial databases which provide access to in-depth application topics and current information related to the subject under study. It also has more than 22,000 e-journals, as well as core collections of reports, magazines, books, and a range of current awareness services.
Cranfield provides support, services and systems, whether industry-leading software and high-performance computing capabilities or network access. It offers a high-speed, wireless network to provide students with the opportunity to access a wealth of online services. Cranfield IT services are available 24 hours a day, 7 days a week, on and off campus, and gives students access anytime, anywhere.

After Graduation

Students will benefit from Cranfield Career Development Services, which have a variety of aspects and functions, from providing 1: 1 coaching to connecting with employers. Students will have access to some key resources before entering the university to prepare their resume for the recruitment season. Upon arrival they will be able to join workshops to create their own professional profile and start applying for vacancies. During the year, Cranfield organizes events, careers fairs, and client presentations to present job opportunities and networking, where students attend interviews and negotiate proposals.
From 1 July 2021, the British Government has launched a new route for international graduates to increase their employment opportunities in the UK. This route welcomes all international students who have successfully completed their course at Cranfield. This visa allows MSc graduates for two years and doctoral graduates for three years to work or search in any position or job they wish and it can be converted to a skilled work visa after finding a job in

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An Artificial Intelligence–based Approach to Estimate the Cost of Net-Zero Transition PhD

Science

Doctoral and postdoctoral

Cranfield University

United Kingdom

399
Mie exceptional discounts(100 € )
499
100
99
300
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One of our very suitable solutions for applicants is to provide free visa services to study in this field from a pleasant country. If you need to receive free visa services, let us know your request

Tuition
Deadline

21740

Deadline

Application Fee

Deadline

0

Deadline
Minimum Level of Education
Min GPA (max=100)

50