|Salary:||£30,497 to £34,304 (Grade 5)|
|Placed On:||23rd September 2021|
|Closes:||31st October 2021|
This is an exciting opportunity to undertake a pivotal role in an EPSRC funded research project as a research officer. This post will be available from January 2021 (or earlier) and offered an 18-month appointment.
Control systems and faults diagnosis are essential to improve the safety and reliability of safety-critical systems, such as nuclear power plants, aircrafts, etc. The EPSRC funded project will design robust control systems to tolerate faults and develop data-driven methods for faults diagnosis in nuclear power plants.
A PhD in control systems design with the knowledge of machine learning would be desirable. A track record of research achievement is sought. You will help supervise PhD students.
You will be responsible for designing fault tolerant control systems for nuclear power plants, simulating sensors and actuator faults in a MATLAB/Simulink environment, and developing data-driven methods for faults diagnosis (preferable using machine learning). You will also write software to implement proposed solutions which will be evaluated and used in the power plants. You will be expected to publish peer-reviewed journal papers and liaise with the project partners to develop novel approaches. A mentoring role will be provided by academics who have substantial track record in data driven modelling and control systems design.
For informal enquiries about this post please contact Professor Jiamei Deng: J.Deng@Leedsbeckett.ac.uk
Closing date: Friday 31st October 2021 (Midnight) Please note that you will not be able to edit or submit a part-completed application form after the closing date.
For further information and to apply please visit: tinyurl.com/4k9jeyvv
Working here means you’ll also have access to a wide range of benefits including our generous pension schemes, excellent holiday entitlements, flexible working, reduced study fees, subsidised fitness facilities and a lot more.
We welcome applications from all individuals and particularly from black and minority ethnic candidates as members of these groups are currently under-represented at this level of post. All appointments will be based on merit.
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