Print

Print


Dear all, 

The Machine Learning for Smart Mobility group at DTU (http://mlsm.man.dtu.dk) is opening a PhD position to fill very soon. If you are an outstanding student looking for a PhD in Machine Learning and Transport (or know of one), we invite you to apply in this link: https://www.dtu.dk/english/about/job-and-career/vacant-positions/job?id=a8d65cb2-d5d5-44bb-80ec-fc2e618e7092

I paste here a snippet from the announcement:

The focus of this research is thus on leveraging state-of-the-art Machine Learning techniques to develop and implement novel solutions for improving the effectiveness, adaptivity and robustness of shared, connected and cooperative automated vehicles. This may include, for example, the development of: shared mobility demand prediction models accounting for the impact of external factors (e.g. special events, inclement weather, incidents and road works), robust and reliable arrival-time / travel-time prediction systems that are able to provide uncertainty estimates of their predictions, predictive routing approaches for a fleet of autonomous vehicles for optimally adapting supply to demand while also accounting for demand uncertainty, etc.


If you’re interested in what we do but can’t apply now, don’t forget to follow us on Twitter (mlsm_dtu), as we always post there the opportunities. 


Best regards, 
	Francisco Pereira



########################################################################

To unsubscribe from the UTSG list, click the following link:
https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=UTSG&A=1