[Job-offers-cs] Postdoc position: optimising aircraft power flow, Computer Science, University of Nottingham

[Pekka Orponen]

-------- Forwarded Message --------
Subject: [DMANET] Postdoc position: optimising aircraft power flow, 
Computer Science, University of Nottingham
Date: Wed, 23 Jan 2019 16:53:21 +0000
From: Jason Atkin <jason.atkin at nottingham.ac.uk>
To: dmanet at zpr.uni-koeln.de

An outstanding candidate is required to support Nottingham's 
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 at nottingham.ac.uk. Please note that applications sent 
directly to this email address will not be accepted.