Manchester Centre for Doctoral Training in Computer Science

我们提出了一种新的博士培训模式，保留了与英国博士相关的深入技术研究，同时增加了在创造力和创新、科学评估以及与外部学术界用户合作和交流方面的培训和实践经验。我们将训练学生从研究开始就思考研究的影响。我们将给他们提供与非学术用户团队合作解决实际问题的经验，以及在他们特定的研究学科之外进行交流的经验。我们将给他们在其他学术和非学术研究实验室工作的机会。我们的目标是培养出博士毕业生，他们一方面是各自研究领域的熟练专家，另一方面是有效的跨学科沟通者和具有影响意识的创造性创新者。我们希望引领英国计算机科学博士的转型，因此将把它作为我们的主要博士学位。为了表明我们的承诺，我们每年将提供额外的10个学生名额。在拨款完成后，我们将能够维持这一模式，因为部分资金将投资于课程和招聘材料的开发，以及员工培训。我们将使用两个综合主题来统一学生，并将他们集中在下一代计算机科学研究人员面临的挑战上，而不是与特定研究社区相关的特定方法。这两个主题代表了横跨计算机科学的广泛领域，它们是：大型和复杂数据的工程-如何处理日益爆炸的数据和建立复杂系统的模型。如何利用这些来提取知识，融合现有知识，并做出预测。新技术的工程-如何优化多核处理器和互联嵌入式智能设备的有效和节能使用；探索智能个性化设备的新用途，处理安全问题和其他风险。曼彻斯特大学是管理计算机科学CDT的理想地点，因为：1)曼彻斯特拥有英国最广泛的计算机科学研究组合，从电子数据存储、大规模并行神经微芯片工程和多核软件到世界一流的定理证明器、机器智能、语义技术、文本挖掘和e-Science。2)曼彻斯特拥有英国任何地方CS RCUK资金的最高集中度。3)曼彻斯特在与工业界合作方面拥有英国最长的历史，包括为Ferranti和ICL制作世界领先的机器原型，以及今天广泛的非学术合作者组合。4)坚定地致力于这一转变，我们将贡献大量资源就是明证。

We propose a new model of PhD training which preserves the deep technical research study associated with the UK PhD, while augmenting this with training and practical experience in creativity and innovation, scientific evaluation, and experiences working with and communicating with users from outside academia. We will train the students to think about research impacts from the start of their research. We will give them experiences working in groups with non-academic users to solve real problems, experiences communicating outside their specific research discipline. We will give them opportunities to work in other academic and non-academic research labs. Our goal is to produce PhD graduates who are, on the one hand, skilled experts in their research area and, on the other hand, effective cross-disciplinary communicators and impact-aware, creative innovators.We want to lead in the transformation of the UK computer science PhD, and so will make this our primary PhD. To show our commitment, we will provide an additional 10 studentships per year. We will be able to sustain this model after the grant has finished, because some of the funds will be invested in course and recruitment material development, and staff training.We will use two integrative themes to unify the students and focus them on the challenges facing the next generation of researchers in computer science rather than particular methods associated with a particular research community. These two themes represent broad areas which cut across computer science, and are:Engineering for large and complex data - how to deal with the increasing explosion of data and build models of complex systems. How to use these to extract knowledge, fuse with existing knowledge, and make predictions.Engineering for new technologies - how to optimise the effective and energy-efficient use of multicore processors and interconnected embedded smart devices; explore new uses for smart personalised devices, dealing with security issues and other risks.University of Manchester is an ideal place to run the CDT in Computer Science because:1) Manchester has the UK's broadest computer science research portfolio, from electronic data storage, massively-parallel neural microchip engineering and multicore software through to world-beating theorem provers, machine intelligence, semantic technologies, text-mining and e-Science.2) Manchester has the highest concentration of CS RCUK funding anywhere in the UK.3) Manchester has the longest history in the UK of working with industry, including prototyping world-leading machines for Ferranti and ICL to today's wide portfolio of non-academic collaborators. 4) A strong commitment to this transformation, as evidenced by the large amount of resources we will contribute.