【急招】ECE PhD opening at the University of Arizona, Tucson, AZ

JOB OPENING: RESEARCH ASSISTANT IN CODING THEORY AND MACHINE LEARNING
The Error Correction Laboratory (ECL) is looking for a PhD candidate to work on topics related to error correction coding theory, and specifically algorithms for iterative decoding using machine learning. This is an excellent opportunity for the candidate to work within a multidisciplinary research team on error correction algorithms, their theoretical analysis, verification and implementation. The position starts in August 2021.

The central goal of the project is to establish a principled coding theory framework for learning novel error correction algorithms using neural networks. Our framework and the methodology enables systematic learning of both encoding and decoding algorithms with improved performance and reduced complexity beyond the existing schemes, as well as uncover their underlying structures that make them superior for a given channel and design constraints. This new paradigm will also contribute to understanding fundamental information-theoretic limits of a learning-based approach for error correction, provide a new angle in addressing a fundamental coding theory question of approaching maximum likelihood decoding, and will lead to practical coding algorithms with improved performance and complexity. Applications of this research include both classical and quantum error correction.

The ECL is a partner in two newly awarded National Quantum Centers, a $26M National Science Foundation Engineering Research Center — the Center for Quantum Networks (CQN) — with core partners Harvard, MIT and Yale, and a $15M Department of Energy Center for Superconducting Materials and Systems (SQMS Center) led by Fermi National Accelerator Laboratory with core partners NASA Ames Research Center, Stanford, National Institute of Science and Technology and Rigetti Computing. Within CQN and SQMS Center, our laboratory is leading the development of QEC codes and decoding algorithms.

Strong background in digital communications, coding theory, probability theory and algebra is a must. Master of Science in Electrical and Computer Engineering is required.

Applications should be sent to Professor Bane Vasic
E-mail: vasic@ece.arizona.edu

More information about Error Correction Laboratory and the research projects can be found at:http://www.ece.arizona.edu/~vasic.



===================================================================================

马上就要毕业了，替我现在的PhD老板招个广告。目前老板funding充足， 想招能今年秋季入学的学生。如果合适，可以加快系里的申请流程，所以不用担心学校deadline的事情。Lab目前的主要的研究方向有：quantum error correction coding, machine learning in error correction coding, 以及两者的结合。目前quantum error correction coding 和 machine learning in error correction coding都是最近几年兴起的方向，感兴趣的同学不要错过哦～

如果想了解更多，欢迎发邮件咨询: 7xinxiao7@email.arizona.edu

楼主毕业去哪儿了？方便透露下么？或者你们课题组往年毕业的博士一般都去哪里入职😁

jack瞬 发表于 2021-02-26 21:02:31
楼主毕业去哪儿了？方便透露下么？或者你们课题组往年毕业的博士一般都去哪里入职

楼主转码了，之前的师兄师姐差不多去的通信相关或者存储相关的公司😄