PhD Studentship in Microwave Design and Design Automation
Applications are invited for a three-year research PhD studentship in Microwave Component Design and Design Automation in the School of Electronic, Electrical and Systems Engineering, The University of Birmingham, UK. The PhD student is expected to carry out research on microwave antenna/filter design aided by computational intelligence-based design automation techniques. The work will be done in collaboration with Glyndŵr University.
With the increase of the complexity of microwave devices and systems, traditional manual design methodology suffers from suboptimal result, ad-hoc process and long design time. Hence, computational intelligence-based design automation techniques are attracting much attention in recent years. This project will investigate microwave antenna/filter design and design automation methods based on statistical learning techniques and evolutionary algorithms.
Applicants should hold a first or upper second class honours degree (or its equivalent) in electrical /electronic engineering or computer science. Competence in microwave analysis and design is essential. Strong programming skills are expected. Experience with MATLAB is highly desirable. Knowledge of machine learning and evolutionary computation is not required but is highly desirable.
To find out more about studying for a PhD at the University of Birmingham, including full details of the research undertaken in the School, the funding opportunities available for your subject, and guidance on making your application, you can order a copy of our Doctoral Research Prospectus, at: www.birmingham.ac.uk/drp.
Information on the research in the School is available at http://www.birmingham.ac.uk/schools/eese/index.aspx
You can search for sources of funding at: www.birmingham.ac.uk/pgfunding
For details of the funding available and advice on making your application, please contact:
How good is research at University of Birmingham in Electrical and Electronic Engineering, Metallurgy and Materials?
Electronic, Electrical and computer engineering
FTE Category A staff submitted: 26.20
Research output data provided by the Research Excellence Framework (REF)
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