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Research Fellow for Industrial Applications of Incentive Design

Agents, Interactions & Complexity

Location:  Highfield Campus
Salary:   £28,695 to £35,256 per annum
Full Time Fixed Term 12 months
Closing Date:   Tuesday 24 November 2015
Reference:  640415FP

We are looking for a candidate with a strong background either in modelling and optimisation, or in multi-agent systems to work on developing a novel incentive mechanism for car-sharing services in collaboration with a leading automotive manufacturer.

The work will involve both theoretical and practical elements. You will investigate the theoretical properties of the mechanism and work with the industrial partner to explore how the mechanism can be applied to real car-sharing services. The work will have the opportunity to create significant real-world impact and you will be expected to liaise regularly with this industrial partner, in order to evaluate the new mechanism on real-world data and potentially conduct user studies.

Car-sharing services offer customers the ability to hire vehicles for short, often one-way, trips, thereby constituting a potentially cheaper and more sustainable alternative to car ownership. However, current services typically operate a fixed-price model (e.g., per hour or per mile). This does not consider the spatially and temporally diverse demands that exist in these settings and thereby leads to an inefficient usage of the service operator's vehicle fleet.

To address this problem, you will apply techniques from the field of mechanism design to develop a new incentive mechanism that considers the private preferences of vehicle drivers as well as the spatial and temporal distribution of future demand.

You will have a PhD or equivalent qualification in a topic related to this project, such as agent-based computing, artificial intelligence, operations research, transportation science, machine learning or economics. You will also have significant experience in implementing your research in software, and you will have strong programming, statistical and data analysis skills. Ideally, you will have knowledge of game theory or mechanism design, you will have experience in applying your research to real-world problems in the transportation domain or similarly complex settings, and you will have conducted user studies.

You will be part of the University of Southampton, an institution consistently ranked in the top 100 of world universities (according to QS) and one of the UK’s top 15 research-intensive universities. We have an international reputation for research, teaching and enterprise activities.

Your post will be within the Department of Electronics and Computer Science (ECS). In the 2014 Research Excellence Framework, ECS was first in the UK for the volume and quality of research in Electrical and Electronic Engineering.  The volume and quality of ECS Computer Science research is in the top 10 in the UK, with 100% of Computer Science research impact rated as world-leading or internationally excellent.

At the University of Southampton, we value diversity and equality.

Both Electronics and Computer Science and the University of Southampton hold an Athena Swan Bronze Award, demonstrating our commitment to provide equal opportunities and to advance the representation of women in STEM/M subjects: science, technology, engineering, mathematics and medicine.  Due consideration will be given to applicants who have taken a career break.

The University has a generous maternity/paternity/adoption leave policies and onsite childcare facilities; employees are able to participate in the childcare vouchers scheme.  Other benefits include state-of-the-art on-campus sports, arts and culture facilities, a full programme of events and a range of staff discounts.

Application Procedure:

You should submit your completed online application form at www.jobs.soton.ac.uk. The vacancy will close at midnight on the closing date as shown above.

References are requested along with your application. This reference system is automated so please ensure you provide the correct email address and allow time for these to be received, prior to the close date, to assist the department with shortlisting.

If you need any assistance, please call Suzanne Stone (Recruitment Team) on +44 (0) 23 8059 4043. Please quote reference  on all correspondence.  

Athena SWAN Bronze Award holder: Electronics and Computer Science

The closing date for this job opportunity has now passed, and applications are no longer being accepted for this position

Further details:

We aim to be an equal opportunities employer and welcome applications from all sections of the community. Please note that applications from agencies will not be accepted unless indicated in the job advert.


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