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<p class="MsoNormal" style="margin-left:35.4pt;background:white"><span style="font-size:10.0pt;font-family:"Arial","sans-serif";color:#222222">A 10 month post-doctoral position is open at ESIEE-Paris (<a href="http://www.esiee.fr/" target="_blank"><span style="color:#1155CC">www.esiee.fr</span></a>)
University Paris-Est, France, starting October the 1st.<o:p></o:p></span></p>
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<p class="MsoNormal" style="margin-left:35.4pt;background:white"><span style="font-size:10.0pt;font-family:"Arial","sans-serif";color:#222222">ESIEE is a school for Engineering.<o:p></o:p></span></p>
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<p class="MsoNormal" style="margin-left:35.4pt;background:white"><span style="font-size:10.0pt;font-family:"Arial","sans-serif";color:#222222">Domains : optimization, big data analysis and modelling, prediction and real time decision making, <o:p></o:p></span></p>
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<p class="MsoNormal" style="margin-left:35.4pt;background:white"><span style="font-size:10.0pt;font-family:"Arial","sans-serif";color:#222222">Laboratory : LiSSI, University of Paris-Est.<o:p></o:p></span></p>
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<p class="MsoNormal" style="margin-left:35.4pt;background:white"><span style="font-size:10.0pt;font-family:"Arial","sans-serif";color:#222222">Location Noisy-le-Grand, 25 minutes to the very center of Paris.<o:p></o:p></span></p>
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<p class="MsoNormal" style="margin-left:35.4pt;background:white"><span style="font-size:10.0pt;font-family:"Arial","sans-serif";color:#222222">Full time. Net wage 2100 Euros per month.<o:p></o:p></span></p>
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<p class="MsoNormal" style="margin-left:35.4pt;background:white"><span style="font-size:11.0pt;font-family:"SFRM1095","serif";color:#222222">Contacts : </span><span style="font-size:11.0pt;font-family:"SFBX1095","serif";color:#222222">Arben Cela and</span><span style="font-size:11.0pt;font-family:"SFRM1095","serif";color:#222222"> </span><span style="font-size:11.0pt;font-family:"SFBX1095","serif";color:#222222">René
Natowicz {arben.cela, rene.natowicz} @esiee.fr</span><span style="font-size:10.0pt;font-family:"Arial","sans-serif";color:#222222"><o:p></o:p></span></p>
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<p class="MsoNormal" style="margin-left:35.4pt;background:white"><span style="font-size:11.0pt;font-family:"SFBX1095","serif";color:#222222">Please send a CV with list of publications and a short motivation letter. </span><span style="font-size:10.0pt;font-family:"Arial","sans-serif";color:#222222"><o:p></o:p></span></p>
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<p class="MsoNormal" style="margin-left:35.4pt;background:white"><span style="font-size:10.0pt;font-family:"Arial","sans-serif";color:#222222">Posted June 15, 2018.<o:p></o:p></span></p>
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<p class="MsoNormal" style="margin-left:35.4pt;background:white"><span style="font-size:10.0pt;font-family:"Arial","sans-serif";color:#222222">Closes September 15, 2018.<o:p></o:p></span></p>
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<p class="MsoNormal" style="margin-left:35.4pt;background:white"><span style="font-size:11.0pt;font-family:"SFRM1095","serif";color:#222222">This post-doctoral research study focuses on commuters cruising for parking, whose impact on traffic congestion is of
first importance. In some cities, the time spent for searching a vacant parking spot can amount to </span><span style="font-size:11.0pt;font-family:"CMR10","serif";color:#222222">40% </span><span style="font-size:11.0pt;font-family:"SFRM1095","serif";color:#222222">the
total travel time, due to the limited parking spot availability and the uncoordinated objectives of commuters and suppliers. Hence, commuters’ parking is a challenging issue for transport system planners, operators and regulators.</span><span style="font-size:10.0pt;font-family:"Arial","sans-serif";color:#222222"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;font-family:"SFRM1095","serif";color:#222222">Getting ever smarter, cities enable real time monitoring, analysis and improvement of citizens’ quality of life. Mobility data that are gathered by different platforms such as smart
devices become real-time social observatories. They can help the dynamic modeling of transport infrastructure and facilities. They can help understanding how traffic congestion develops and evolves, unravelling hidden patterns and identifying models that can
contribute to efficient traffic management techniques. Furthermore, mobility data make each user an actor as 'smart sensor’ and 'smart controller/decision maker', helping optimizing traffic network infrastructure facilities and improving cities’ mobility and
accessibility.</span><span style="font-size:10.0pt;font-family:"Arial","sans-serif";color:#222222"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;font-family:"SFRM1095","serif";color:#222222">Different control strategies were proposed to regulate the traffic flow through control variables such as variable parking price, variable toll fees and variable commuter departure
time. The computation of these control variables generally relies on the observed statistics but do not reflect the actual traffic state at the given time. Hence the main objective of this study is to get profit of real time traffic state information and actual
parking occupancy data in order to adjust the dynamic models that were obtained from data statistics, allowing coordinating commuters/drivers objectives so as to find available parking spots, minimizing the overall cruising-for-parking time and improving cities’
mobility and accessibility.</span><span style="font-size:10.0pt;font-family:"Arial","sans-serif";color:#222222"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;font-family:"SFRM1095","serif";color:#222222">The socio-economic impact of traffic congestion in general, the challenges inherent to the related optimisation framework, and the modeling aspects impose a holistic view of the problem,
addressed at several hierarchic levels. The continuous and discrete models and decision variables that are involved in the modeling render this optimization problem a mix integer-continuous one. The nature of the problem asks for modelings that carefully state
the granularity levels in order to reach the necessary real time control properties.</span><span style="font-size:10.0pt;font-family:"Arial","sans-serif";color:#222222"><o:p></o:p></span></p>
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