申请｜英国爱丁堡大学优化和运筹学博士机会，奖学金每年15609英镑，可领4年

编者按

相比美国，欧洲读博、做博后或许显得有些“小众”。

其实，欧洲博士和博后项目以其极高的薪资待遇著称，如果可以拿到工作合同，读博工资在当地已属中产，并享受一切相关福利，毕业后不久即可申请当地永居或移民。申请欧洲读博通常需要硕士学位，一般不需要GRE也无需当地语言，有雅思或托福成绩即可申请，套磁是申请的关键。

我在德国拿到博士学位后工作半年，即具备申请德国永居的资格，相比于美国也简单很多。来德国做博后拿的是工作合同，工作满4年即可申请永居。

透露一下，玛丽居里博士后的工资非常高，在法国甚至超过了副教授的薪资！

关于我的欧美留学经历和全球博士薪资，请戳下方链接：

视频手稿 | 普通家庭人十年美德留学史，最终落户德国做一个快乐打工人

【留德华叫兽】|全球学术界博士(后)、教职工资福利总览--知乎不断更新中！

01

招生概览

The Optimization and Operational Research PhD programme and areas with opportunity for research

The School offers a PhD Programme in Optimization and Operational Research. This is a 3-year programme with an additional year available to finalise the thesis. From the start of their studies, PhD students are assigned a main supervisor with whom they work closely throughout their degree programme and a second supervisor who provides additional help and pastoral support. 

详细信息

The School of Mathematics offers several fully funded PhD studentships each year. Students receiving School funding are awarded a stipend equivalent to UKRI stipend rates for a period of 4 years plus a tuition waiver.  All applicants will automatically be considered for these studentships, and they do not require a separate application. 

Computational Optimization and applications

The Optimization and OR group in the School of Mathematics possesses world leading expertise in the solution of very large scale continuous and mixed-integer linear, and continuous quadratic optimization problems. The group has been awarded several EPSRC-funded research projects devoted to developing core optimization methods that led to the development of world class solvers for linear programming using the interior point method. At the UK level, the group has unmatched competences in developing theory and software for solving huge scale problems.  Amongst open source systems, the performance of the group's mixed-integer linear opimization software system, HiGHS, is the best in the world.

Continuous Optimization 

The Optimization and OR group in the School of Mathematics has extensive expertise and experience in modelling optimization problems arising from various applications, developing and implementing problem-specific algorithms, and utilising decomposition methods, interiorpoint methods, advanced numerical linear algebra tools such as preconditioners, and highperformance computing approaches for solving challenging and large-scale optimization problems. In addition, the group is actively involved in general-purpose optimization software development. The research expertise in the group encompasses several facets of continuous optimization, including linear, quadratic, nonlinear, convex, nonconvex, global, PDE-constrained, and stochastic optimization. The research experience includes the development and application of OR methodology for solving optimization problems arising from diverse applications such as data science, energy systems, truss topology design, finance, and wireless networks. In addition, the group members have secured extensive external funding from funding agencies and has strong industrial collaborations.

Decision Making under Uncertainty

The Optimization and OR group of the School of Mathematics has extensive experience in modelling, analyzing and optimizing real-world problems involving uncertainty. Our group is also one of the leading research groups in the world developing methods to solve the resulting huge scale stochastic optimization problems efficiently, and our members has been funded for various projects by EPSRC and other external organizations to develop fast solution methods for these problems. The research interests of our members also include Gaussian process emulation and Bayesian decision analysis. Our members have actively collaborated with organizations from a wide-variety of sectors, including but not limited to government, service, energy, aviation and telecommunication. The group has strong ties with leading research groups at Heriot-Watt University and London Business School.

Future Energy Networks

The Optimization and OR group of the School of Mathematics can provide both domain expertise in the modelling and optimization of energy networks, particularly electric and gas networks, as well as the methodological expertise to solve the resulting optimization models in practical applications. The group collaborates with energy researchers across the university via the Energy@Edinburgh initiative. At UK national level members of the group are part of the EPSRC-funded National Centre for Energy Systems Integration. Additionally, our members have led or been involved in numerous other externally funded projects involving the development and application of OR techniques to energy problems. The members of the group have a wide range of experience in modelling different systems’ energy markets, and in optimizing energy networks of different sizes from small-scale local smart grids to national and continental networks. There is also specialist expertise in calibration of large-scale computer models, and in probabilistic security of supply risk modelling.

Integer and Combinatorial Optimization

The Optimization and OR group in the School of Mathematics has broad expertise in the modelling and solving of integer and combinatorial optimization problems. Members of the group have had public and private funding, including EPSRC, to work on logistics problems, aircraft cockpit design problems, energy problems, and portfolio optimization problems. Members of the group have worked on both the theory and application of integer and combinatorial optimization: On the theoretical side, the group has experience in cutting plane methods, convexification techniques, and the construction of efficient algorithms both to obtain exact and heuristic solutions. Here, the group has focussed both on mixed-integer linear but also on mixed-integer nonlinear programs. As for applications, the portfolio of the group includes energy, logistics (facility location, network design, supply chain, districting), and healthcare applications (junior doctor allocation, kidney exchange).

薪资待遇

The School of Mathematics offers several fully funded PhD studentships each year. Students receiving School funding are awarded a competitive stipend equivalent to UKRI stipend rates (£15,609 per year for the current academic year) for a period of 4 years plus tuition fee waiver. 

截止时间

All applications received by 31st January 2022 will receive full consideration for funding. Later applications will be considered until all positions are filled.

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