Research Associate / Fellow (Fixed-term) in Computer Science University of Nottingham, Department of Computer Science United Kingdom

Research Associate / Fellow (Fixed-term)


Reference
SCI489418


Closing Date
Monday, 4th February 2019


Job Type
Research


Department
Computer Science


Salary
£27025 to £39609 per annum (pro-rata if applicable) depending on skills and experience. Salary progression beyond this scale is subject to performance.


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. 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.

 

Informal enquiries may be addressed to Jason Atkin, email jason.atkin@nottingham.ac.uk. 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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