申请信息
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.
申请方式
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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