contribution to project ENIGMA, funded by the European Commission, to
deliver a Supervisory Controller for Enhanced Electrical Energy
Management on board aircraft. The successful candidate would work in
the School of Computer Science on the optimisation of power flows within
more electric aircraft. Applicants must have a good knowledge of
optimisation techniques and strong programming skills. Colleagues in
Electrical Engineering will handle the engineering details.
Traditional aircraft systems are increasingly being replaced by
electrical equivalents, with the aim of reducing weight and fuel
consumption, and intelligent control of these systems is vital for
maximising the benefits. This position offers an opportunity to work at
the forefront of this interesting and exciting research area. The
successful candidate will be working in the Automated Scheduling
Planning and Optimisation (ASAP) Research Group at the School of
Computer Science and collaborating closely with colleagues working on
Aircraft Electric Power Systems within the Faculty of Engineering,
through the Institute for Aerospace Technology at the University.
Working with partners in Electrical Engineering as well as with three
external partners, the successful candidate will contribute towards the
design, modelling and (software) development of the controller.
Applications are invited from highly skilled researchers in Computer
Science, Mathematics, Optimisation, Operational Research, or closely
related disciplines. The successful candidate will have a good
understanding of mathematical models for real-world problems, of
decision making/optimisation algorithms/approaches and of software
development.
The applicants must have (or be very close to completing) a PhD in
Computer Science, Mathematics, Optimisation, Operational Research, or
closely related discipline. The successful candidate will need to work
with and develop mathematical models as well as work on the production
of controller code (formulated as state models and otherwise) to enact
decisions made (in as automated a way as possible). Experience with
Mixed Integer Linear Programming, MILP solvers and using/developing
custom heuristic or exact optimisation algorithms will be of value. Due
to the partnerships involved, a good understanding of Electrical power
systems is not required but could be beneficial for improving the
initial understanding of the problem being solved.
The successful candidate should be able to work both independently and
collaboratively and be able to meet tight deadlines. Good communication
skills to work within multidisciplinary teams are crucial. The candidate
will be expected to disseminate research results in peer-reviewed
journals and conferences.
The position will be offered on a Fixed-term contract for 15 months.
Hours of work will be Full-time (36.25 per week). Job share arrangements
may be considered.
Full information on the job details and role profile can be found on the
University of Nottingham web site:
https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI489418
or at:
https://www.jobs.ac.uk/job/BPB823/research-associate-fellow-fixed-term
Informal enquiries may be addressed to Jason Atkin, email
jason.atkin@nottingham.ac.uk <mailto:jason.atkin@nottingham.ac.uk>.
Please note that applications sent directly to this email address will
not be accepted.
This message and any attachment are intended solely for the addressee
and may contain confidential information. If you have received this
message in error, please contact the sender and delete the email and
attachment.
Any views or opinions expressed by the author of this email do not
necessarily reflect the views of the University of Nottingham. Email
communications with the University of Nottingham may be monitored
where permitted by law.
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************
Posts
