拉夫堡大学在研究强度（REF2014）方面是英格兰排名前十的大学，并且有资格提交给REF的拉夫堡学术人员中有66％的杰出工作被评为“世界领先”。或“国际一流”，而全国平均水平为43％。<br>在选择拉夫堡进行研究时，您将与该领域的领导者一起工作。您将受益于我们的全面支持和指导，包括量身定制的职业建议，以帮助您在研究和未来职业中取得成功。<br>项目详细信息：<br>激光铣削最近对精加工超硬切削刀具的行业产生了兴趣，尤其是在汽车领域。在激光铣削中，材料特性和加工参数的不同组合会导致各种形貌轮廓，并且需要准确
With current energy systems generating ever-increasing amounts of data, there are new opportunities arising both in terms of economics and sustainability. This data spans a range of scales, from smart meter data in individual houses to demand and generation data from distribution network nodes and large-scale power plants respectively. The aim of this project is therefore to investigate the economic and sustainability opportunities arising from these data sources. The project is likely to involve large amounts of programming and data-analysis. Candidates should have a strong interest in data analysis and visualization, as well as in energy and sustainability. Candidates will be expected to develop a strong knowledge of python or another language used in big data analysis and prior experience in one or more of these languages would be useful. A willingness to learn is essential.