"Postdoc Research Officer"

Job Number

SU00491

Contract Type

Fixed Term

Salary

£38,205 to £44,263 per annum

Faculty/Directorate

Faculty of Science and Engineering

Location

Bay Campus, Swansea

Closing Date

27 Aug 2024

Interview Date

16 Sept 2024

Informal Enquiries

 Xianghua Xie

 x.xie@swansea.ac.uk

About The University

Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right balance of excellent teaching and research, matched by an enviable quality of life.

Our stunning waterfront campuses and multicultural community make us a desirable workplace for colleagues from around the world. Our reward and benefits, and ways of working enable those who join us to have enriching careers, matched by an excellent work-life balance.

About The Role

We are delighted to post this postdoctoral researcher position as part of the National EdgeAI Hub in conjunction with Newcastle University School of Computing. The postholder will work closely with Prof. Xianghua Xie from the Computer Vision and Machine Learning group (http://csvision.swan.ac.uk) at Swansea University, and collaborate with researchers across the multi-site National EdgeAI Hub. The researcher will work on building novel robust decentralised machine learning techniques that are suitable for edge devices and their applications to, for instance, healthcare and robotics.

Our primary focus is to develop novel data-driven machine learning techniques that can be securely deployed on complex datasets, which are often distributed or federated and have their own requirements on data privacy. Building on our strength and experience, the Swansea team will address key challenges of decentralized AI in the era of edge computing and for the next generation of edge networks.

Our main research agenda include: (1) developing robust privacy-preserving algorithms for distributed learning; (2) optimising distributed machine learning from heterogenous data and incomplete data; and (3) efficient continuous and transfer learning with decentralised datasets. The postholder will carry out research, implementation, and experimentation on advanced machine learning models and edge computing techniques in these areas.

Additional Information

Applications for this role will take the format of a CV submission and cover letter.