Machine learning for Future Cities

The Future Cities initiative is providing fully funded PhD studentships in Machine Learning for future cities. Deadline: Jan 21, 2019. 5pm.

Machine learning for complex, dynamic data is fundamental challenge and one of growing interest. This includes, for example, geo-spatial data, graph data, and many others. A large city provides a rich environemnt to understand, develop, and test emerging machine learning ideas.

Thus, the object of this project is to conduct fundamental research in machine learning, with applications in smart cities, self driving cars and many other emerging domains.

See application procedure here

For questions, contact rsarkar [AT] web page