阿伯丁大学PhD position in Scheduling, Economics, and Market Coordination申请条件要求-申请方
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阿伯丁大学
PhD直招介绍
About the Project
Important: This project is fully funded for Home/UK students only. We welcome applications from international candidates, but please be aware that a successful international candidate would be responsible for covering the difference between the international and Home/RUK tuition fee rates (approximately £22,000 per annum). International candidates must provide evidence that they have these funds available.
Project Description
The North Sea faces one of the largest industrial decommissioning challenges in history: hundreds of oil and gas installations to be safely removed, repurposed, or abandoned at an estimated cost exceeding £20 billion over the next two decades. At the heart of the problem is a scheduling and resource coordination challenge far more complex than it first appears. Decommissioning projects compete for the same specialist vessels, port facilities, and skilled labour as the rapidly expanding offshore wind sector. Vessels are expensive to mobilise, weather windows are narrow, and current scheduling practice relies largely on bilateral negotiation rather than systematic optimisation. The result is higher costs and longer timelines than necessary.
This PhD will develop AI-driven planning and optimisation methods to address this problem rigorously and at scale. Working across the full UK Continental Shelf (UKCS) project portfolio, you will build computational models of decommissioning, offshore wind, and competing infrastructure projects, and apply scheduling and optimisation algorithms to find strategies that reduce both cost and time across the portfolio. You will model the stochastic uncertainties, including oil prices, weather, and regulatory timelines, that make this a hard real-world problem, and propose concrete commercial arrangements, such as vessel-sharing agreements or coordinated scheduling platforms, that could deliver improvements acceptable to all parties.
By the end of the studentship you will have produced: a basin-wide simulation framework capturing project interactions and shared resource competition; multi-objective optimisation tools that simultaneously balance industry NPV, government cost, and delivery time; commercially grounded coordination proposals for vessel and port scheduling; and direct policy-relevant findings for NSTA, HMRC, and the offshore industry.
Training and Opportunities
You will receive rigorous training in automated planning and scheduling, multi-objective optimisation, and stochastic modelling: a toolkit well suited to large-scale resource allocation problems. The studentship is based primarily at the University of Aberdeen’s National Decommissioning Centre (NDC)( https://www.ukndc.com/ ) where you will work alongside a cohort of PhD students and engage directly with industry partners and regulators. The supervisory team will support you in presenting your work at leading international AI and energy conferences.
References
• Geffner, H. and Bonet, B. (2013). A Concise Introduction to Models and Methods for Automated Planning. Synthesis Lectures on Artificial Intelligence and Machine Learning. Morgan & Claypool Publishers. doi:10.2200/S00513ED1V01Y201306AIM022
• Marriott, K. and Stuckey, P. J. (1998). Programming with Constraints: An Introduction. MIT Press. ISBN 978-0-262-13341-8
• Scala, E., Haslum, P., Thiébaux, S. and Ramírez, M. (2020). Subgoaling techniques for satisficing and optimal numeric planning. Journal of Artificial Intelligence Research, 68, pp. 691–752.
阿伯丁大学 PhD position in Scheduling, Economics, and Market Coordination项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
Funding Notes
The studentship covers a stipend/living expenses equivalent to UKRI stipend amount (£21,805 for October 2026 starts and increasing each year for 3.5 years), home/RUK tuition fees for 3.5 years (£5238 for academic year 2026/27), a research training grant worth £3500 over 3.5 years, research expenses worth £10,000 over the 3.5 years and a travel allowance to support students travelling from Aberdeen City to the NDC campus in Newburgh, Aberdeenshire.
*We welcome applications from international candidates for this studentship, but please be aware that a successful international candidate would be responsible for covering the difference between the international and Home/RUK tuition fee rates (approximately £22,000 per annum). International candidates must provide evidence that they have these funds available.
阿伯丁大学Phd申请条件和要求都有哪些？PhD position in Scheduling, Economics, and Market Coordination项目是不是全奖？有没有奖学金？下面我们一起看一下阿伯丁大学申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
Candidate Background
Applicants should hold a first or upper second class honours degree in computer science, mathematics, operations research, engineering, or a closely related discipline with a strong quantitative component. Prior knowledge of the offshore energy industry is not required. What matters is analytical rigour, comfort with formal methods, and a commitment to research that carries tangible societal value.
We actively encourage applications from diverse career paths and backgrounds and across all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status, amongst other protected characteristics.
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