PostDoc Researcher Position: Machine Learning for Transportation

The Machine Learning for Services group at Xerox Research Centre Europe conducts fundamental and applied research in machine learning and computational statistics, with applications in knowledge representation, transportation, and mechanism design.

We are opening a PostDoc position in the group aimed at supporting XRCE activities in modeling and optimization of transportation systems. Jointly with the Advanced Development Lab at XRCE, we develop a platform enabling the rapid deployment of components enabling novel services for travellers and transport operators. The postdoc position will conduct fundamental research, but also have the opportunity to work directly with real customer data and see the results of research used by Xerox business groups and our clients.

The ideal candidate should have a Ph.D. in Computer Science or related field and experience in data analysis and machine learning. Experience in transport and/or sensor modeling, operations research is a plus. The successful candidate will be responsible for the development of prototypes using such scripting languages as Matlab or Python, and their integration into the platform, and will collaborate directly with other members of the team.

*Requirements* :

- PhD in Computer Science or related field

- Strong publication record in top Machine Learning and Data Mining conferences and journals

- Good experience in multi-source data analysis

- Strong written and oral communications skills

The position is available immediately and renewable for up to 18 months.

Application instructions:

Informal enquiries can be made to [email protected] <mailto:[email protected]> . To apply, please send a CV and covering letter to [email protected] <mailto:[email protected]> , [email protected] <mailto:[email protected]> and [email protected] <mailto:[email protected]> , clearly stating 'Postdoc for Machine Learning for Transportation' in the subject line. You should also include in your CV at least three referees we can contact for letters of recommendation.

For further details, please visit http://www.xrce.xerox.com/About-XRCE/Career-opportunities/Researcher-Machine-Learning-for-Transportation



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