PhD Studentship: ZeroBreak Project EU 2020 - FoF Project

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Computer Science,Computer Science,Engineering and Technology,Mechanical Engineering,Production Engineering and Manufacturing

Short info about job

Company: Brunel University London

Hours: Full Time

Type / Role: PhD

Phone: +44-1204 6481353

Fax: +44-28 9266113

E-mail: N\A

Site:

Detail information about job PhD Studentship: ZeroBreak Project EU 2020 - FoF Project. Terms and conditions vacancy

Applications are invited from enthusiastic individuals for an EU funded full time PhD studentship with skills, knowledge and/or experience in one or more of the specialist research areas listed below:

  • Machine Tools and Machines Simulation and Modelling;
  • Applied Control Engineering;
  • Applied Mathematics and Stochastic Modelling;
  • Mechanical Engineering;
  • Robotics, Automation, Mechatronics and Manufacturing Engineering;
  • Computer Science with Machine Learning and Data Analytics;

The successful applicant will join the Systems Engineering Research Group in the Department of Electronic and Computer Engineering and work closely with colleagues whose research is linked to the Institute of Materials and Manufacturing and Institute of Energy Futures. This EU funded project is concentrated on design and development of real-time predictive fault detection and maintenance planning of machines, equipment and tools in a typical production line. The purpose is to bring sudden (unplanned) breakdowns of machines and production lines (network of machines) to Zero.

Applicants will be required to demonstrate their ability to think innovatively and produce solutions that will be applied and tested in multiple manufacturing sites throughout the EU. The project will require you to take a concept and conduct a full cycle of research and development under supervision from academic staff and Research Fellows. Please contact Dr Ali Mousavi at [email protected] for an informal discussion about the studentships.

Eligibility

Applicants will have or expect to receive a first degree at 2:1 or above in areas such as Machine Tools, Control Engineering, Applied Mathematics, Mechanical Engineering, Machine Learning-Data Analytics, Computing, Mechatronics, Electronics or Automation and Manufacturing Systems. A masters degree is an advantage but not essential. Previous industrial experience and/or national or international scientific awards will also be an advantage.

The studentship is for a period of 3 years (36 months) and the successful applicant from the UK/EU will receive an annual stipend of £16,553 plus payment of their full time Home/EU tuition fees. Overseas candidates are welcome to apply but they will receive a monthly cost of living allowance (£500) plus payment of their full time international tuition fee.

How to Apply

Please email your application comprising all of the documents listed below by 12:00pm on Monday 2nd October 2017 to [email protected]

  • Your up-to-date CV;
  • Your degree transcripts and/or certificates;
  • Evidence of English language skills to IELTS 6.5 (or equivalent, with 6.0 in all sections), if appropriate;
  • Your personal statement setting out why you are a suitable candidate and your skills/experience in:
    • Software programming (C, C++, C#, .NET or Java);
    • Electro Mechanical and Machine Tools Simulation and Modelling Tools (CAD, CAM,CAE) and interfaces to real-time control systems ;
    • Supervisory Control and Data Acquisition systems, sensor and actuation networks and PLCs
    • Mathematical Modelling capabilities such Discrete Mathematics, Control Systems, Systems Modelling and Simulation, Operational Research, and/or Stochastic Modelling

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