When applying for a postdoc position, fellowship, or grant you will often be asked to submit a research proposal as part of your application.
The University of Luxembourg (UL) and Luxembourg Institute of Socio-Economic Research (LISER) invite applications for a DRIVEN PhD Fellow (Doctoral Candidate) position (m/f) as part of the DRIVEN Doctoral Training Unit (https://driven.uni.lu), consisting of 19 doctoral candidates. DRIVEN is funded by the FNR PRIDE funding instrument https://www.fnr.lu/funding-instruments/pride/.
PRIDE PhD Fellow Ref: DRIVEN
You will be working as part of DRIVEN Doctoral Training Unit (DTU) funded by the FNR PRIDE scheme. The Computational and Data DRIVEN Science DTU will train a cohort of 19 Doctoral Candidates who will develop data-driven modelling approaches common to a number of applications strategic to the Luxembourgish Research Area and Luxembourg’s Smart Specialisation Strategies. DRIVEN will build a bridge between state-of-the-art data driven modelling approaches and particular application domains, including Computational Physics and Engineering Sciences, Computational Biology and Life Sciences, and Computational Behavioural and Social Sciences.
Smart Mobility services exploit Intelligent Communication Technology solutions to collect, mine and ultimately exploit individual mobility data to develop innovative transport systems as well as improve existing ones. This system revolution is still at its infancy, and huge research opportunities requiring a multidisciplinary approach. In particular, collaboration between core computational science fundamental and applied domains is necessary to understand how technological enablers need to be designed and implemented to connect and facilitate people travelling choices. The focus of this project will be on exploring the potentials of Big (Mobility) Data collected from both smartphones and from Social Media platforms to
1) develop methods and algorithms to mine data to profile travelers, which could be related to the specific type of smart mobility service (e.g., mobility on demand services like Uber, dynamic ridesharing, flexible buses, etc.) and identify correlations between individuals that can be used to increase the chance that matching will result in an overall service satisfaction for the users, and ultimately a high economic value for the service providers;
2) exploit regularities and specificities in the data and in turn in the activity-travel patterns to efficiently design and improve smart mobility services. A main research question in this case is how increasing the matching success of individual users can result in benefits for the service operators in terms of economies of scale and ultimately in reducing the operating costs.
Different datasets are already available from the research teams, which are suitable for this PhD project. Although advancements especially in the way data is semantically interpreted, and used to predict future locations of the travelers, has been done, this has only scratched the surface of a deeper analysis of how this data can be used to profile and match users.
The specific methodology and focus of the PhD will clearly depend on the match between the profile of the chosen candidate and the supervisors.
Your lead supervisor will be Prof. dr. Francesco Viti (MobiLab Transport Research Group). Further supervision will be provided by dr. Jun Pang (CSC) and Raphael Frank (SnT).
Your primary tasks as a DRIVEN fellow are to:
UL strives to increase the proportion of female PhD students in its faculties. Therefore, we explicitly encourage women to apply.
Before proceeding with the submission of your application, please prepare the following documents:
All documents should be uploaded in PDF format via the online submission system (no applications via email, please). Please note that incomplete applications will not be considered
Candidates will be shortlisted based on the criteria detailed above. Shortlisted candidates will be invited for an interview and/or interviewed by phone.
Please apply online by October 30th, 2018.
Research work in Luxembourg:
Please see the Foreign Researcher’s Guide to Luxembourg for more information on research employment in Luxembourg and the procedures that apply.Continue reading
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