Applications are invited for a University Lectureship in Information and Data Science. The successful candidate will join the Signal Processing and Communications Laboratory in the Department of Engineering to add to its expertise in Information Science and Data Science. We encourage applicants who will strengthen our current research activities in modern information theory, inference, data science, signal processing, and their connections with machine learning, including applications in communications, networking, privacy and cybersecurity.
In exceptional circumstances, it may be possible to offer a supplement to the salary range stated for this role of up to 12.5% / £6576 for a five-year period. Any such supplement would be awarded on the basis of a demonstrable history of exceptional achievement and is entirely at the discretion of the University.
The online application can be found :Ìý³ó³Ù³Ù±è²õ://·É·É·É.Âá´Ç²ú²õ.³¦²¹³¾.²¹³¦.³Ü°ì/Âá´Ç²ú/23589/
(Click the 'Apply' button to register an account with our recruitment system and apply online.)
In addition to this, please ensure that you upload the application documentation as follows:
- Curriculum Vitae (CV)
- A full publications list, highlighting up to 5 publications you regard as most significant
- Statement of research, teaching and professional experience, including your future research plans (no more than two pages)
If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
The closing date for applications is Sunday 16 February 2020 . If you have any questions about the application process, please contact the HR Office ( [email protected] , +44 (0) 1223 332615).
The interviewing panel will meet soon after the closing date in order to produce a short-list; references may be solicited. Short-listed candidates will be invited to visit the Department, give a short seminar/lecture and attend a formal interview. This process is expected to take place during April/May 2020.
Informal enquiries may be made to Prof. Simon Godsill ( [email protected] ) or Prof. Ioannis Kontoyiannis ( [email protected] ).
Please quote reference NM21039 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.