Monday, March 1, 2021

[DMANET] Research Associates/Fellow in modelling of electric aircraft fleet operations (3 posts, fixed-term)

A move to more electric, hybrid electric and eventually fully electric
aircraft has the potential to greatly decrease emissions and greatly
benefit the environment. These changes will involve operational changes,
however, at airports and for airlines, potentially resulting in more but
smaller aircraft replacing the larger jets that are currently in use. This
project will build upon previous work to create a simulation which can be
used to evaluate the effects of potential changes.

Three outstanding candidates are required to support Nottingham's
contribution to the development and support of an airport/airspace/airline
simulation and decision support system. The School of Computer Science at
the University of Nottingham have developed several airport optimisation
and scheduling systems, some of which are running live at airports in
various stages of their lifecycles, as well as having worked on both
airspace and airline modelling and optimisation problems. These roles will
enhance this portfolio by contributing to the creation of a combined
airspace/airport/airline simulation and optimiser for use in evaluating the
effects of potential changes to aircraft, airport, and airspace usage.

Applications are invited from highly skilled researchers in Computer
Science, Mathematics, Optimisation, Operational Research, or closely
related disciplines. The applicants must have or be close to completing a
PhD in one of these disciplines. The successful candidates will have a good
understanding of mathematical models for real world problems, of decision
making/optimisation algorithms/approaches and of object-oriented software

The successful candidate should be able to work both independently and
collaboratively and be able to meet tight deadlines. Good communication
skills to liaise with airport, airline and aircraft partners are crucial.
The candidate will be expected to disseminate appropriate research results
in peer-reviewed journals and conferences.

The successful applicants will join the Computational Optimisation and
Learning Lab at the University of Nottingham, School of Computer Science.
They will work with Dr Jason Atkin, Dr Geert De Maere and Dr Daniel
Karapetyan to develop a system to support and evaluate decisions related to
a move towards using a fleet of electric aircraft. The role holders will
spend most of their time on:


Developing an integrated model of airport/airspace/airline operations;

Designing an optimisation method for the integrated model;

Performing the computational analysis, drawing conclusions, and
reporting the findings.

These posts are available immediately and will be initially offered on a
fixed-term contract until 31 May 2022. Extensions beyond this point may be
possible subject to funding being available for the next phase of
development. Hours of work are full-time (36.25 hours per week), however
job share arrangements may be considered.

Informal enquiries may be addressed to Dr Jason Atkin, Dr Geert De Maere or
Dr Daniel Karapetyan (,, Please
note that applications sent directly to this email address will not be

Applications should include both a CV and *a covering letter detailing how
your knowledge/experience/skills meet each of the essential and any
relevant desirable criteria in the Person Specification section of the Role


Job Description/Role Profile

Additional Information

Apply Online

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information on the support we offer our international colleagues, visit

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from January 2021, we offer an interest-free loan to help cover the cost of
immigration-related expenses to the UK, including visas and the NHS
surcharge. For more information follow this link

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