Research Fellow in automotive electromagnetic environment and radar simulation University of Birmingham School of Engineering United Kingdom

Primary Location GB-GB-Birmingham
Job Academic Non-clinical
Organization Engineering
Schedule Temporary
Full-time
Job Posting 30.08.2019, 4:00:00 AM
Grade (for job description) Grade 7
Salary (Pay Basis) 33,199.00
Maximum Salary 42,036.00



Position Details

School of Engineering

Location: University of Birmingham, Edgbaston, Birmingham UK

Full time starting salary is normally in the range £30,395 to £39,609. With potential progression once in post to £42,036 a year.

Grade 7

Full Time

Fixed Term – up to 12 months; anticipated start date 1/1/2020

Closing date: 29 September 2019

 

Job Summary

Based in the School of Engineering on the Edgbaston campus, the roleholder will take part in the development of the system-level computer model and simulation of automotive radar and electromagnetic environment for L4 autonomy in complex road scenarios. The overall model includes such parts as multiple cars' sensors, propagation channels, interference effects and interactions between all parts of the model. The realistic road scenarios will be modelled to provide a verifiable performance metric in electromagnetically and physically dense environments representative of those in which connected and autonomous vehicles (CAVs) will operate.

The postholder will work within the specified research grant and projects and contribute to writing bids, operating within their area of specialism. They will analyse and interpret research findings and results, contribute to generating funding and contribute to licensing or spin out deals with demonstrated commercial success and public understanding of the discipline.

For more information please see the links below.

https://www.birmingham.ac.uk/research/activity/eese/communications-sensing/misl/MislAutomotive.aspx

https://www.birmingham.ac.uk/research/activity/eese/communications-sensing/misl/MislAutomotive.aspx

 

Main Duties

Characterisation of interference and mitigation techniques:
Study and simulation of phenomenological effects such as intra- and inter-radar interference, multipath induced interference, and propagation channel fluctuations as well as intentional or unintentional jamming for a number of identified critical scenarios.
Design interference mitigation techniques in automotive radar.
Investigation of waveform diversity, adaptive beamforming, sensor co-operation and other related technologies.
Formulation of mitigation strategies and recommendations.
Experimentation:
Development of experimental methodology for verification of models and algorithm wrt models and available diverse radar sensors
Experimentation and measurements of RF events for a number of critical use case scenarios.
Assist and contribute to data processor implementation and interference mitigation algorithms implementation:

Development of data processing for the simulator presumably based on digitised environment describing street scenes containing roads, street furniture, other vehicles, etc.
Development of the appropriate simulator part in programming environment, e.g. Matlab.
Provide modelling of interference between multiple radar sensors operating within the selected scenarios.
Analyse the effect of diverse waveform and receiver parameters as measures to mitigate unwanted interference events.
CAV sensors modelling gap analysis:
Comprehensive overview of existing models and software tools that could be used or modified to provide project modules.
Identification of existing commercial simulation tools, open source tools and bespoke simulators owned by project participants.
Sensor-based autonomy features test cases definition:
Simulation of identified critical scenarios.
Verification & Validation of physical experiments by means of computer simulation.
To apply the simulator to challenging scenarios to quantify the performance of mitigation techniques
Identify challenges and approaches for the development and deployment of level 4 autonomy.
General tasks:
Apply knowledge in a way which develops new intellectual understanding
Support other research staff, supervise students on research related work and provide guidance/co-supervise PhD students where appropriate to the discipline
Undertake management/administration arising from research
Meeting and working with industrial collaborators. Preparation and presentation of technical progress reports to industrial and academic collaborators.
Contribute to Departmental/School research-related activities and research-related administration
Present research outputs, including (but not limited to) drafting peer-reviewed top level journal papers, or parts thereof, for example at seminars and as posters and attending relevant conferences to ensure that results are available in a timely and accessible format for a range of audiences
Provide guidance, as required, to support staff and any students who may be assisting with the research
Deal with problems that may affect the achievement of research objectives and deadlines
Take responsibility for co-ordinating his or her own work within the research team as defined by the Investigators
Organise his or her own work and time in order to meet the deadlines and milestones as defined within the project, or as modified after discussion with the Investigator
Decide in consultation with the principal investigator as appropriate, on the most appropriate way of undertaking the specified research activities
Decide in consultation with the principal investigator as appropriate how to analyse and interpret the data from the specified research activities
Decide in consultation with the principal investigator as appropriate what knowledge to draw on and how to apply it to develop new intellectual understanding
Contribute to deciding what information to include in a bid for research funding and how to present the bid to maximise the likelihood of securing the funding
Decide in collaboration with co-authors which aspects of the research findings to include in a presentation or a publication and how to convey the findings
Give guidance, support and advice to students on research related work including PhD students and decide the most appropriate method of providing this supervision.
Liaise with research staff and support staff on research-related matters
Liaise with external collaborators on the research, where appropriate
Give presentations and/or contribute to presentations at national and/or international conferences
Referee articles for peer-reviewed academic journals
Maintain contact with (including membership of) appropriate professional bodies
Liaise with the relevant external research community via seminars and conferences
Participate in internal networks for the exchange of information and to form relationships for future collaboration
Liaise with external clients of the University or members of the public
Knowledge, Skills, Qualifications and Experience Required

 

First degree in physics, electrical engineering or related discipline (or equivalent qualifications)
Hold, or be close to completion of, PhD in the field of radar/microwave technology
Strong background in mm-wave or above, automotive radar and related technologies, i.e. electromagnetic waves propagation and scattering.
Fluency in relevant models, modelling techniques/methods and ability to contribute to developing new ones.
Extensive knowledge of microwave instrumentation, experimental techniques, calibration and processing of radar signals and experience in devising experimental methodology and data processing with excellent computer modelling/simulations skills.
Extensive knowledge and experience in computer modelling and simulations
Demonstrable ability to assess resource requirements and use resources effectively
Demonstrably high level analytical capability
Demonstrable ability to communicate complex information clearly
Demonstrable understanding of and ability to contribute to broader management/ administration processes
Informal enquiries to Professor Marina Gashinova, m.s.gashinova@bham.ac.uk or telephone 0121 414 2298

We value diversity at The University of Birmingham and welcome applications from all sections of the community

Valuing excellence; sustaining investment


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