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英国利兹大学2023年招聘博士后职位(软件工程和机器学习)

信息来源:英国利兹大学 | 作者:admin | 时间:2023-07-05 10:37

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英国利兹大学2023年招聘博士后职位(软件工程和机器学习)

利兹大学(University of Leeds),是一所位于英国利兹的公立综合性研究型大学、世界百强名校,英国红砖大学,是罗素大学集团,世界大学联盟、国际大学气候联盟、欧洲大学协会、英联邦大学协会、中英大学工程教育与研究联盟、RENKEI、N8大学联盟、白玫瑰大学联盟成员。利兹大学商学院获AACSB、EQUIS和AMBA三重认证,是全球商学院网络、“一带一路”商学院联盟、中欧商校联盟成员。

Research Fellow in Software Engineering and Machine Learning

University of Leeds

Job Description

Do you want to work on a cutting-edge research project to make billions of computing devices faster and more secure? Are you passionate about engaging in collaborative research at the intersection of code optimisation, formal verification and machine learning? Do you want to further your career in one of the UK’s leading research-intensive Universities?

Applications are invited to apply for a Research Fellow to work on building secure and high-performance memory management systems. As a part of our team, you will have the unique opportunity to work on cutting-edge projects involving developing secure and high-performance memory management software libraries for emerging computer hardware.

Our research group is widely recognised for pioneering the application of machine learning in software development, which has significantly enhanced the performance and security of software libraries. This line of research has won multiple awards. Now, we are at the forefront of a burgeoning field and are expanding our expertise in machine learning-based code synthesis to create secure and high-performance memory libraries that leverage hardware security extensions.

The successful candidate will develop novel techniques that harness the power of machine learning to generate and optimise memory allocators while ensuring security guarantees.

Holding a PhD (or have submitted before taking up the role) in Computer Science or a closely allied discipline, you will have a particular interest in software engineering and low-level systems programming. Having working experience in machine learning and deep learning would be advantageous but not essential.

To explore the post further or for any queries you may have, please contact:

Prof Zheng Wang, Professor of Intelligent Software Technology

Tel: +44 (0)113 343 1077 or email: Z.Wang5@leeds.ac.uk

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