Lecturer in Signal Processing and Autonomous Systems

UE08 (£49,250- £60,321 per annum)

School of Engineering, College of Science & Engineering, Electronics and Electrical Engineering Discipline, Institute for Imaging, Data, and Communications (IDCOM) 

Open-ended (permanent) contract

Full time: 35 Hours per week

The Opportunity:

The School of Engineering seeks to appoint a Lecturer in Signal Processing and Autonomous Systems. The successful candidate will undertake teaching duties in Electronics and Electrical Engineering with a specific focus in digital and statistical signal processing, detection and tracking systems and related subject areas. They will also carry out research in signal processing and autonomous systems, and will have demonstrated applications of their research in (but not limited to) one or more of the following domains: a) sensor signal processing and information fusion; b) target detection and tracking using radar, sonar or other modalities; c) signal processing and control systems for robotics and autonomous systems. The successful candidate will join the Institute for Imaging, Data, and Communications (IDCOM) in the School of Engineering at the University of Edinburgh.

The role is UE08 and is available on a full-time, open-ended contract. 

Your skills and attributes for success: 

The successful candidate appointed will conduct research in the area of signal processing and autonomous systems in the Research Institute for Imaging, Data, and Communications (IDCOM) and participate in teaching and administration in Electronics and Electrical Engineering, contributing to the intellectual wealth and collegiate environment of the School of Engineering. 

The successful candidate will be a good communicator who is able to inform and enlighten both undergraduate and postgraduate students. You will have a growing research portfolio in signal processing and autonomous systems, providing evidence of collaborative working, attracting external research funding and producing significant outputs. 

The successful candidate will have demonstrated skills in supporting and motivating people (students and colleagues) and be able to plan and organise resources effectively. You will have demonstrated the ability to deliver research project results and/or effective learning programmes with high-quality publications, knowledge exchange and innovation built in as appropriate. 

All applications must contain the following supporting documents in the format of one PDF document:

Teaching statement (1-2 pages)

Research statement (2-3 pages)

Full CV and publication list, which should identify the applicant’s 3 most relevant/representative publications