格拉斯哥大学博士招生

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格拉斯哥大学刘博老师招收人工智能应用微波天线自动化设计博士生，提供全额奖学金

申请截止日期为2020年5月31日

申请人应至少拥有计算机科学、数学或工程领域的一等或二等荣誉学位（GPA>3.3）。具有数学和机器学习能力，有丰富的编程经验，不必须有电磁模拟和天线知识。

欢迎咨询: Bo.Liu@glasgow.ac.uk

附上简历+是否满足要求的描述

详情阅读英文部分
刘博老师介绍
2008年获得清华大学学士学位

2012年获得鲁汶大学博士学位

2012年成为洪堡研究员

现任格拉斯哥大学副教授

格拉斯哥大学介绍
学校位于英国苏格兰最大城市格拉斯哥市

2020 QS排名 第67名

2020 THE排名 第99名

2020 USNews排名 第89名

Fully-Funded PhD Studentship in AI Techniques for Automated Design of Microwave Antennas
Candidate students with AI, computer science or applied mathematics backgrounds are especially welcomed

Target qualification: PhD

Location: Glasgow, Scotland, United Kingdom

Funding for: UK students, EU students, or International students

Funding amount: Full tuition fee waiver for four years plus an annual stipend of ￡15,285 (tax free, funded by MathWorks)

Mode of study: Full Time

Anticipated starting time: 1st July 2020

Application deadline: 31st May, 2020

Principal Supervisor: Dr. Bo Liu

Applications are invited for a four-year fully funded PhD research studentship in AI techniques for automated design of microwave antennas in the Communications, Sensing and Imaging (CSI) Group, James Watt School of Engineering, University of Glasgow, Scotland, UK. The program is funded by one of the leading CAD companies, The MathWorks Inc. (the creator of MATLAB and SIMULINK). The PhD student will focus on research into surrogate model-assisted optimization techniques and corresponding CAD tool development: the final product will be available as part of the global MATLAB distribution and hence will have very wide international visibility. The studentship is expected to be available from 1st July 2020 (negotiable).

Machine learning and heuristic optimization-driven automated antenna design methodology is one of the strengths of the CSI group. Its SADEA algorithm series is widely used by many academic and industry users. For the design of complex antennas, the SADEA algorithm series is often the only viable solution. Given that SADEA-I is available in MATLAB 2020a, this project focuses on investigating next generation AI techniques for microwave antenna design. The source code will be provided to MathWorks and embedded in future MATLAB versions. Clearly, this will be a sound track record for the PhD student’s future career, either from industry or academic point of view.

Applicants should hold at least a first or upper-second class honors degree (or the equivalent, e.g. GPA greater than 3.3) in computer science, mathematics or engineering. Competence in mathematics and machine learning (at least one of these) is essential and evidence of extensive experience in programming is required. Experience with MATLAB is highly desirable. Knowledge of electromagnetic simulation and antennas is not required since the student will collaborate with antenna design researchers, but having such knowledge is highly desirable.

Inquiries to: Dr. Bo Liu

James Watt School of Engineering,

University of Glasgow,

Scotland
Telephone: +44 (0) 141 330 2000
E-mail: Bo.Liu@glasgow.ac.uk

https://www.gla.ac.uk/schools/engineering/staff/boliu/

Informal enquires are very welcome and should be made to Dr. Bo Liu via email. Please submit a full CV together with a covering letter describing how you meet the requirements.