Research Fellow in Inverse Synthetic Aperture Radar (ISAR) for Space Residents Characterisation at University of Birmingham

Job Description:

We invite applications from a highly motivated scientist to join our dynamic group to develop multi-functional space borne radar capability for ISAR imagery of space objects from space. The researcher will be part of the research team within the Microwave Integrated Systems Laboratory (MISL) to work on EPSRC funded project Multi-dimensional quantum-enabled sub-THz Space-Borne ISAR sensing for space domain awareness and critical infrastructure monitoring – SBISAR,  to create a framework of novel approaches and methods for characterising objects in space.

Specific tasks:

• Development, test and validation of algorithms for the formation of dense 3D ISAR images at range of mmWave and sub-THz frequencies including
  • Development of 3D ISAR formation algorithms based on dual interferometry and dual-frequency ISAR imagery;
  • Testing and validation of 3D ISAR image formation algorithms by use of modelled, simulated and measured  data and suitable metrics of performance
  • Devising and optimization of ISAR observational strategy for a diversity of observed objects and monitoring platforms.

Main Duties

The responsibilities may include some but not all of the responsibilities outlined below.

• Develop research objectives and proposals for own or joint research, with assistance of a mentor if required
• Contribute to writing bids for research funding
• Analyse and interpret data
• Apply knowledge in a way which develops new intellectual understanding
• Disseminate research findings for publication, research seminars etc
• Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline
• Contribute to developing new models, techniques and methods 

Person Specification

• The applicant should have a PhD (or one near to completion) in Radar, Signal processing, Physics or relevant disciplines at the time of taking up the position
• A strong record of research and publications and familiarity with SAR and processing techniques.
• High level analytical capability
• Ability to communicate complex information clearly

Informal enquiries to Prof Marina Gashinova , email: m.s.gashinova@bham.ac.uk.

To download the full job description and details of this position and submit an electronic application online please click on the ‘Apply’ button above.

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We value diversity and inclusion at the University of Birmingham and welcome applications from all sections of the community and are open to discussions around all forms of flexible working