PhD
Studentship (3 years) – Time-delay feedback methods and their application in
power electronic systems
Engineering
and Applied Science – Studentships
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Contract Type:
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Fixed Term (3 years)
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Basis:
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Full Time
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Closing Date:
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Thursday 30 June 2016
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Reference:
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R160135
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Time-delay
feedback methods and their application in power electronic systems
Applications are invited for a three year
postgraduate studentship, supported by the School of Engineering and Applied
Science, to be undertaken within the Non-linearity and Complexity Research
Group http://www.aston.ac.uk/ncrgat
Aston University. The successful applicant will join an established
theoretical group working on complex systems.
postgraduate studentship, supported by the School of Engineering and Applied
Science, to be undertaken within the Non-linearity and Complexity Research
Group http://www.aston.ac.uk/ncrgat
Aston University. The successful applicant will join an established
theoretical group working on complex systems.
The position
is available to start in October 2016 (subject to negotiation)
Financial Support
This studentship includes a fee bursary to cover
the home/EU fees rate plus a maintenance allowance of £14,057 in 2015/16.
the home/EU fees rate plus a maintenance allowance of £14,057 in 2015/16.
Applicants from outside the EU may apply for
this studentship but will need to pay the difference between the ‘Home/EU’ and
the ‘Overseas’ tuition fees, currently this is £11,448. As part of the
application you will be required to confirm that you have applied for, or,
secured this additional funding, and confirmation that this funding support is
in place will be required as part of the application process..
this studentship but will need to pay the difference between the ‘Home/EU’ and
the ‘Overseas’ tuition fees, currently this is £11,448. As part of the
application you will be required to confirm that you have applied for, or,
secured this additional funding, and confirmation that this funding support is
in place will be required as part of the application process..
Background of the Project
The spatio-temporal dynamics of many nonlinear
systems, like intra-cellular biochemical processes, ecological systems or
electronic devices can be manipulated and controlled by artificial, external
feedback loops. The careful implementation of such feedback loops leads to a
better understanding of the system and allows to control undesirable states and
induce novel ones. A large class of such dynamic systems can be described by
time-delay differential equations. This project proposes to first study in
detail generic time-delay models analytically and numerically. Subsequently,
and in collaboration with the Aston University Power Electronics and Power
System Group, more specific models are developed and implemented for
application in power electronicssystems. Important parts of this project
are to study the influence of fluctuations and to compare to alternative
control methods.
systems, like intra-cellular biochemical processes, ecological systems or
electronic devices can be manipulated and controlled by artificial, external
feedback loops. The careful implementation of such feedback loops leads to a
better understanding of the system and allows to control undesirable states and
induce novel ones. A large class of such dynamic systems can be described by
time-delay differential equations. This project proposes to first study in
detail generic time-delay models analytically and numerically. Subsequently,
and in collaboration with the Aston University Power Electronics and Power
System Group, more specific models are developed and implemented for
application in power electronic
are to study the influence of fluctuations and to compare to alternative
control methods.
Person Specification
The successful applicant should have a first
class or upper second class honours degree or equivalent qualification in
Mathematics, Physics, or Electrical Engineering. Preferable skill
requirements include knowledge/experience of analytical and numerical modelling
of nonlinear processes. Experience in spatio-temporal dynamics, control methods
and modelling of electronic systems is desirable.
class or upper second class honours degree or equivalent qualification in
Mathematics, Physics, or Electrical Engineering. Preferable skill
requirements include knowledge/experience of analytical and numerical modelling
of nonlinear processes. Experience in spatio-temporal dynamics, control methods
and modelling of electronic systems is desirable.
For informal enquiries about this project and
other opportunities within the Non-linearity and Complexity Research Group,
contact Michael Stich by email m.stich@aston.ac.uk
other opportunities within the Non-linearity and Complexity Research Group,
contact Michael Stich by email m.stich@aston.ac.uk
The online application form, reference forms and
details of entry requirements (including the required English language level) are
available on the Aston University website at
details of entry requirements (including the required English language level) are
available on the Aston University website at
Applications
should also be accompanied by a brief review of relevant research literature.