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英国计算机博士申请:从选校到面试,助力你拿下dream offer

其他 计算机 博士 背景提升 选校定位 CV/PS/RP/面试
  • 课程简述: 2020申请季收获剑桥大学计算机系,剑桥大学工程系,帝国理工学院计算机系,UCL计算机系和KCL计算机系五枚PhD offer。 在申请过程中,选校定位,套磁,CV,PS,Research Proposal,面试,每一个环节都至关重要。 希望我在这过程中积累到的经验能够帮助更多的同学申请到你们的dream school :)
  • 适用用户: 想要申请英国计算机博士/研究型硕士的同学

为了充分利用课时,我将于课程开始前基于申请者背景和申请目标进行背景调查。

课程内容涵盖:

  1. 背景提升
  2. 选校定位
  3. 申请流程规划
  4. 套磁指导
  5. CV/PS/Research Proposal Review
  6. 面试指导与模拟

由于时间限制,以上话题任选1~2项,更多咨询欢迎加购。

自我介绍

自我介绍

2020申请季收获剑桥大学计算机系,剑桥大学工程系,帝国理工学院计算机系,UCL计算机系和KCL计算机系五枚PhD offer.
在申请过程中,选校定位,套磁,CV,PS,Research Proposal,面试,每一个环节都至关重要。
希望我在这过程中积累到的经验能够帮助更多的同学申请到你们的dream school  :)

教育经历

教育

University of Cambridge

PH.D Computer Science
~

University College London

Master MSc Robotics and Computation
~

King's College London

Bachelor BEng Electronic Engineering
~

经历

Research Intern

University of Cambridge
~
  • Focusing on learning optimal graph representations from human faces, aiming to accurately recognize human facial expressions and emotions regardless of their identities
  • This project includes a set of data pre-processing, transfer learning, extending current graph neural networks, developing new graph representation learning strategy, e.g., end-to-end edge feature and vertex feature learning

Research Assistant

University College London
~
  • Selected to work on an advanced machine learning-based approach for prediction of task-productivity in construction projects (AMProd).
  • Collaborate with the AMProd partners to conduct regression analysis for the purpose of determining the relationship between the factors that affect task productivity.
  • Conduct multivariate analysis to further investigate the relationship and probability distribution of observed data.

CPU Design Internship

Huawei Technologies, Bristol, UK
~
  • Working on a research project on RISC-V Vector Extension and Internet of Things code size optimisation which significantly improved the performance of the system. Attending meetings and international conferences on RISC-V and operating systems, and deepening understanding of RISC-V ISA, computer architecture, microprocessor design and IoT

Part-Time Research Internship

Department of Energy and Power Engineering, Tsinghua University
~
  • Working on the project of Quality Inspection of Coal Using Laser-Induced Breakdown Spectroscopy employing Deep Learning methods
  • Responsible for designing deep learning models and analysing data

Teaching Assistant

Kings College London
~
  • Selected to be teaching assistant for two main courses (Introduction to Professional Practice, Electronics Applications Project and Engineering Lab 1), improving communication and presentation skills through the experience

Summer Research Internship

School of Computing, Ulster University
~
  • A research project on using smartphone videos and machine-learning methods for food authentication, including development and application of sensors
  • Tested sensor and analysed the data collected to find ways to improve the accuracy using machine learning algorithms, yielding comparable performance to the baseline spectroscopy techniques but at lower cost and greater ease of operation

Software Development Internship

Shanghai Electric Group Company Ltd
~
  • Participated in developing the Manufacturing Execution System, which greatly improved the efficiency of production and supply chain management

获奖 & 荣誉

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