【博士生】【美国】【全额奖】PhD Studentship

liubo168

Target qualification:
PhD
Location:
Department of ECE, The University of Texas at Austin
Funding amount:
Scholarship for 4 years
Mode of study:
Full Time
Starting time:
September 2018
End time:
August 2022



Applications are invited for a four-year PhD studentship at The University of Texas at Austin, USA. The project focuses on investigating the next generation Analog IC design automation tool. The student will work in Prof. Nan Sun’s group (https://scholar.google.com/citations?user=dtUMGuMAAAAJ&hl=en ) and will be supervised by Prof. Bo Liu (https://scholar.google.com/citations?user=G-K3GC0AAAAJ&hl=en ) remotely. The studentship is available from 1st September 2018.

In a modern system-on-chip, although the analog circuit area is usually less than 20%, its required design efforts can be more than 80%. The computational intelligence-based analog IC design automation research has been carried out for 20 years in the academic world, but such methods are seldom used by real-world engineers. This project aims at solving the bottlenecks of existing analog IC design automation methods and bringing transformative change to the way analog circuits are designed. It will lead to greatly enhanced productivity and circuit performance if successful.

This project is international based and is mainly funded by the US National Science Foundation. The analog IC design expertise from the US and analog IC design automation expertise from EU are combined. Three PhD students will collaborate in this project focusing on analog IC design assisted by novel design automation tools (supervised by Prof. Nan Sun), analog IC schematic-level design automation (supervised by Prof. Bo Liu) and analog IC layout design automation (supervised by Prof. David Pan). This studentship focuses on the second topic.

Applicants should at least hold a BSc degree in computer science, electrical/electronic engineering or mathematics. Applicants who are doing his/her master study is highly encouraged. Competence in evolutionary computation is essential. Competence in machine learning (mainly regression, surrogate modeling) is desired. Strong programming skills, in particular, MATLAB programming, are essential. The applicant should have basic knowledge of analog circuit (attended undergraduate level analog circuit analysis class is valid). Informal inquiries are very welcome.

Enquiries to: Bo Liu
Tel:  00 44 (0)1978 293542
Email:
liubo168@gmail.com (preferred)
b.liu@glyndwr.ac.uk
b.liu.3@bham.ac.uk

majpliush

你好，语言要求是咋样的呢

liubo168

回复 2# majpliush

That will follow the UT Austin rules. But please send me an email with your CV and telling me how do you think that you meet the specifications first.

whxijinping

这个不错

qwer2016

奥斯汀，好学校啊，突然想phd了

web1987

This program is enrolled at UT austin, but Dr. Sun' and Dr. Liu's  E-mail is Glyndwr University, UK, confused. Visit scholar， maybe？