英国格拉斯哥大学招收2名全奖博士生-机器学习/工程优化方向

本期将为大家介绍英国格拉斯哥大学招收全奖博士生的相关信息。

PhD #1 - Fully-Funded PhD Studentship in Machine Learning and Optimization with Applications to Analog IC Design

Candidate students with AI, computer science or applied mathematics backgrounds are especially welcomed

Applications are invited for a four-year fully funded PhD research studentship in machine learning and optimization with applications to analog IC design, James Watt School of Engineering, University of Glasgow, Scotland, UK. University of Glasgow is an internationally top 100 university (#81 in QS World University Rankings 2023). 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 modeling, optimization, surrogate model-based 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. Involvement with this work is expected to generate an impressive track record for the PhD student’s future career, either from industry or academic point of view. The studentship is expected to be available from 1st October 2023 or earlier (negotiable). 

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 machine learning is essential. Competence in optimization techniques and/or mathematics is required. Evidence of extensive experience in programming is essential. Experience with MATLAB is highly desirable. The knowledge of analog IC design is not required but is highly desirable. 

PhD #2 - Fully-Funded PhD Studentship in Engineering Optimization

Candidate students with AI, computer science or applied mathematics backgrounds are especially welcomed

Applications are invited for a four-year fully funded PhD research studentship in engineering optimization, James Watt School of Engineering, University of Glasgow, Scotland, UK. University of Glasgow is an internationally top 100 university (#81 in QS World University Rankings 2023). 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. Involvement with this work is expected to generate an impressive track record for the PhD student’s future career, either from industry or academic point of view. The studentship is expected to be available from 1st October 2023 or earlier (negotiable). 

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 evolutionary computation, conventional optimization, 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. 

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 cover letter describing how you meet the requirements.

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