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拉夫堡大学博士课程-学霸都心动了

 对于申请博士,很多小伙伴又好奇又迷惑又心生敬畏。PHD(博士)就是学习的巅峰,是标志着个人具备研究出原创成果的能力。完成了博士,就转身成为了专家级“玩家”。

那么如何申请博士呢,下面为你提供纯干货:博士申请三部曲~~

1 前期基本工作

 

博士和研究生学习的目的不大相同。研究生的学习目的除了获取相关领域的基础和延展性知识外,还会针对相关的就业领域,为以后的就业提供思路做准备。同时英国的研究生也会有部分提供实习或带薪实习的机会。而博士则纯粹是理论知识深入探讨和研究。是对科学或社会的某个感兴趣的领域探索的过程。博士主要探索理论,将前沿实事转化为知识。所以前期需要充分了解博士的学习方式,和希望研究的领域课题。多搜罗一些相关的期刊文章,网站资源和前辈的研究,还有哪些不同角度新颖的课程或想法,从而为研究报告做准备。

 

2准备申请材料

 

英国的博士基本申请材料和研究生大致相同,学位证和毕业证,成绩单,个人陈述,简历,两封推荐信,还有语言成绩。除了这些,博士申请特有的,也是最重要的就是研究报告了。研究报告是体现你对即将要在博士阶段研究课题的想法介绍,是给博士导师的最初印象。是显示你研究的能力和潜力,也是录取的关键因素。下面我们来看下全英前10的大学拉夫堡大学对于申请博士的研究报告的小建议:

研究报告前期需要引用5W+1H的问题引入课题。

l  What:研究的课题是什么

l  Why:课题研究的意义是为了什么。

l  How:课题是通过什么方式来研究

l  Where:研究课题的地域是哪里

l  Who:课题针对的群体是谁

l  When:课题研究的时间点或时间段在哪里

 

有了这些问题引入思路,报告就能缩小范围,更有针对性。

研究报告内容需要包括:

l  在相关文献中论证选题的理由;

l  课题研究的目的和目标

l  研究方法

l  潜在的最初作品贡献

l  研究可能的产生的影响

 

l  包含3年的博士学习的计划甘特图

研究报告中需要体现:

l  想法的科学合理性和原创性

l  批判的思维能力和清晰的写作能力

l  相关文献的掌握能力

l  在研究领域的洞察力

l  处理数据的能力

l  对即将研究课题困难的了解

3 套磁

一旦确定了研究的领域,写好了研究报告,就要尽早套磁了。需主动邮件联系导师。告诉导师你对他负责的研究课题兴趣浓厚,可以说,“我对您所研究的领域十分感兴趣,也希望成为您的学生,并以此领域作为我的博士研究课题的方向。”然后就能以一个未来博士生的身份跟导师交流了。导师也会根据研究报告和相应的想法沟通来评估。

完成以上三部曲,博士的申请基本已经大功告成了。千万不要轻视这三步曲,一环紧扣一环缺一不可。导师同意后即可进行网申。同时需确定语言的能力,是否需要衔接学期语言课程。毕竟语言课程也为以后的学习生活提供很好的语言基础。

拉夫堡大学的博士申请可以免去套磁的环节,直接申请哦,这样又能更减轻一部分的压力和负担,多些时间准备研究报告或准备语言。同时只要你能体现较强的相关研究能力,本科毕业生也可以申请博士。

拉夫堡大学博士研究的课题比较丰富,涉及到工程,建筑,数学,物理,计算机,化学,设计以及社科政策学:

l   3D Vision for Robots with Photonic Chip Interferometers PhD

l   Development of a 3D Printed Biohybrid Lung PhD

l   Deep Reinforcement Learning for Human-Robot Interaction PhD

l   Data-Driven Prediction of Mechanical Performance in Cast Irons Based on Machine-Learning Techniques PhD

l   Context-Aware Data-Driven Approach to Enhance the Wellbeing of Workers in Complex Scenarios PhD

l   Coach’s Companion: A Sport Based Joint Cognitive System PhD

l   City-scale big data in urban mobility PhD

l   Brain-inspired computers: from neuron spike dynamics to spike computing PhD

l   Birational Geometry of Singular Fano Varieties PhD

l   Battery Thermal Management System for Electric Vehicle PhD

l   Automatic DeepFakes Generation and Identification PhD

l   Applied AI in IoT and consumer intelligence in digital finance PhD

l   AI for Social Cohesion and Long-Term UK Productivity PhD

l   AI enabled Cyber-Human Integration for Industrial Environments PhD

l   Advances in control of wind turbines and wind farms PhD

l   Advanced Textiles for Wearable Electronics Applications PhD

l   Additive Manufacturing for Revolutionary Mechanical Performance PhD

l   Adaptive and Predictive Computational Modelling of Biomaterials: A Digital Twin Approach Towards Next Generation Personalised Healthcare PhD

l   Development of an Aeroelastic Multi-Disciplinary Design Optimization Framework for Large Wind Turbine Systems PhD

l   Energy Harvesting-Enabled Self-Powered Sensing for Real-Time Monitoring in Industry 4.0 PhD

l   Exploration of Techniques to Improve Reliability and Security of Autonomous Vehicles PhD

l   Friction, Lubrication and Heat Transfer Phenomena In Advanced Hybrid Electric Vehicle Powertrains PhD

l   Explosive evaporation – the superheat limit and hydrodynamic instability for liquid droplet PhD

l   Fabrication and characterisation of memristors for object detection applications PhD

l   Foam Electrokinetic Separation PhD

l   Architecture, Building and Civil Engineering PhD

l   Getting a Grip on Artificial Turf PhD

l   Hardware-in-the-Loop: Designing future railway vehicles PhD

l   Heat Transfer and Fluid Dynamics of Electric Vehicle Transmissions PhD

l   High Performance Productivity PhD

l   Improving Indoor Environmental Quality (IEQ) in the Built Environment by leveraging advanced IEQ monitoring systems, simulation and integrated controls PhD

l   Information and Visualisation Design Methods PhD

l   Intraoperative parathyroid imaging PhD

l   Knowledge Driven Search-Based Optimisation for Software Performance PhD

l   Low Temperature District Heat Networks PhD

l   Luminescent Molecular Probes to Facilitate Drug Discovery PhD

l   Machine Learning Based Modelling in Autonomous Vehicles PhD

l   Manipulating magnetic anisotropy with superconductivity PhD

l   Mathematical modelling of wave energy conversion across the scales PhD

l   Measurement of Dielectric Properties Including Anisotropy for Antenna, RF and Satellite Applications PhD

l   Mechanical behaviour and optimisation of laser-cut rebar embedded in cementitious matrix PhD

l   Medical image-based computational modelling and an AI algorithm development for lung diseases diagnosis PhD

l   Nano-Particle Transport and Deposition PhD

l   New Digitalisation Processes and Digital Twins for Aerospace Engineering PhD

l   Parameterisation of Alloys Manufacturing: Lessons Learnt from Traditional Methods to Inform Automated Advanced Manufacturing PhD

l   Performance of Ground Improvement Solutions in Landfills PhD

l   Plug-and-Play Low Voltage DC microgrids PhD

l   PREDICTOR: Improving the energy performance of closed-loop heating and cooling systems PhD

l   Random Periodicity in Dynamics with Uncertainty: Ergodic Theory PhD

l   Rapid Infrastructure Shielding from Legacy Unexploded Ordnance: Modelling & 3D Printing PhD

l   Re-Purposing – A Symbiotic Approach to Manufacturing – Reducing Resource Consumption Whilst Meeting Social Needs PhD

l   Design and Creative Arts PhD Studentships PhD

l   School of Social Sciences and Humanities PhD Studentships PhD

l   Schrödinger operators with complex potentials PhD

l   Self-Assembly of Colloidal Structures in Living Liquid Crystals PhD

l   Signatures of spin liquid behaviour in correlated quantum magnets PhD

l   Smart Grasping of Challenging to Handle Materials PhD

l   Surface Modification of Metal Powders for Improved Additive Manufacturing PhD

l   Theory and design of active quantum circuit elements PhD

l   Towards to the interpretable medical imaging analysis PhD

l   Understanding Aeroelastic Dynamics for Aeroelastically Tailored Smart Turbine Blades PhD

以上研究课程申请,如足够优秀还能申请到Studentship可减免全部的学费。

说到这里,很多同学会疑惑,什么是Studentship?和Scholarship有什么不一样。那小编再科普一下:

Oxford University“Studentship”的项目说明:A departmental award which provides funding for postgraduate research students who are working on specific projects. And the funding is normally provided by an organization such as a Research Council or through a combination of funds from an academic department or external body.
所以不同于Scholarship

1.Studentship通常是由具体机构为具体研究课题而设立的项目,也就是说,这个项目已经有了具体的研究方向和研究题目,而且一般有了导师负责。所以,同学们就不用纠结如何选题,也就不用盲目陶瓷~

2.由于Studentship由具体的机构赞助,所以对于申请人会有一定的要求。可能某个EU或者英国本土的机构只赞助自家学生,可能不考虑国际学生。

 

拉夫堡大学以上提到的研究课题的Studentship都是开放给国际生哒。博士3年的学费全减免,简直惊呆小伙伴。要申请这个Studentship需要和导师联系,讨论研究课题,提交proposal,阐述想法;附加CV等必备申请材料。每个材料需要非常细致的准备以备通过导师的审核。

你难道不心动么?!如果我是学霸,没人能拦我,马上申请~~~