Research Associate/Fellow fixed term

University of Nottingham - Engineering

Location: University Park

Salary: £26,052 to £38,183 per annum, depending on skills and experience minimum £29,301 with relevant PhD . Salary progression beyond this scale is subject to performance

This post is associated with a partnership project between the University of Nottingham Power, Electronics, Machines and Control research group and the Phase Motion Control S.p.a. Italy. The project covers power electornics research and Technology Transfer aimed at the development of a 500kw direct ac/ac power converter. The work will be undertaken at the University of Nottingham and, in addition to undertaking modelling simulations, rig construction and research into modulation and control, will involve interactions with Phase Motion Control Engineers in the implementation of control algorithms in DSP and FPGA that are identified as optimal. Algorithms will include dead-time compensation, high bandwidth current control, auto-tuning and self-commissioning, Repetitive control. The work methodology will span simulation, software implementation and experimental testing.

The ideal candidate should hold or about to obtain a PhD, or equivalent, in power electronic systems and have relevant previous experience in a research environment. They will also be required to have deep knowledge of ac/ac power converters with their modulation, dynamic simulation tools and real-time software implementation. Prototyping will be a substantial part of this project therefore the candidate should have experience and skills in the construction of power electronic converters, experience in implementation of control algorithms both in DSP C language and FPGA. Theoretical control background is also very desirable, above all in repetitive and deadbeat control.

The candidate will have to constantly liaise with the industrial sponsor and will have to manage day to day activities as well as long term plans. They will therefore have:

  • Ability to work well in a team environment.
  • High analytical ability to analyse data and find technical solutions.
  • Ability to assess and organise resource requirements and deploy effectively.
  • Ability to build relationships and collaborate with others, both internally and externally.
  • Excellent oral and written communication skills, including the ability to communicate with clarity on complex information
  • Excellent presentation skills.

This position is based on a full time, fixed term contract for 18 months in the first instance.

Informal enquiries may be addressed to Professor Pericle Zanchetta, email Please note that applications sent directly to this email address will not be accepted.

The University of Nottingham is an equal opportunities employer and welcomes applications from all sections of the community.

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Midlands of England