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Dynamic trip planing
Description
As both historical and real-time data are available for more and more urban areas, integrating either one or the other in trip planning algorithms has received a wide interest in the literature in the past few years [Bast et al. 2014]. NAVER LABS is developing its own trip planning algorithms, pursuing research to improve models and algorithms, to take advantage of the various sources of data available in smart cites and to enhance user personalization and experience.
The aim of the internship is to join the Machine Learning and Optimization group for working on dynamic and time-dependent shortest path problems. Models and algorithms will be proposed and tested in the context of the current solution.
Requirements
As part of the 2nd year of your Master Degree, or final year of your Engineering School, you are looking for an internship lasting 5 or 6 months. Ideally, your diploma has a major in computer science and/or applied mathematics with some courses on operational research topics.
As prototypes are to be implemented, working knowledge of C++ is a plus and the candidate must be autonomous and motivated by optimization, innovation and research.
Bibliography
· [Bast et al. 2014] Hannah Bast, Daniel Delling, Andrew V. Goldberg, Mathias Muller-Hannemann, Thomas Pajor, Peter Sanders, Dorothea Wagner, and Renato F. Werneck. Route planning in transportation networks. Technical Report MSR-TR-2014-4, Microsoft Research, January 2014.
Start Date
Beginning 2017
Duration
5-6 months
Application instructions
Please send a resume, along with your last transcript of grade to both Darko Drakulic and Vassilissa Lehoux, firstname.lastname@naverlabs.com
http://www.europe.naverlabs.com
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Multimodal trip planning
Description
When speaking of multimodality, many studies refer to interweaving public transit only with walking[Bast et al. 2014]. At NAVER LABS, we consider that sequences of modes including many other possibilities are very relevant in the context of smart cities (bike sharing, car sharing, taxis, car pooling, etc.).
NAVER LABS Europe is pursuing research to enhance the multimodal experience of NAVER Map users, designing and improving models and algorithms for multimodal trip planning. The aim of this internship is to join the Multimodal Mobility project and work on the multimodal and personalization aspects of the existing planner.
Requirements
As part of the 2nd year of your Master's Degree, or final year of your Engineering School, you're looking for an internship lasting 5 or 6 months. Ideally, your diploma has a major in computer science and/or applied mathematics with some courses on operational research topics.
As prototypes are to be implemented, working knowledge of Rust programming language is a plus and the candidate must be autonomous and motivated by optimization, innovation and research.
Bibliography
[Bast et al. 2014] Hannah Bast, Daniel Delling, Andrew V. Goldberg, Mathias Muller-Hannemann, Thomas Pajor, Peter Sanders, Dorothea Wagner, and Renato F. Werneck. Route planning in transportation networks. Technical Report MSR-TR-2014-4, Microsoft Research, January 2014.
Start Date
June - August 2018
Duration
5-6 months
Application instructions
Please send a resume, along with your last transcript of grade to both Darko Drakulic and Vassilissa Lehoux, firstname.lastname@naverlabs.com
http://www.europe.naverlabs.com