Postdoctoral Research Fellow in Machine Learning for Personalized Mobility as a Service

The successful candidate must have a PhD in Computer Science, Computer Engineering, Electronic Engineering, or a related field. The post is applicable to both new and experienced PhD holders, and salary will be commensurate with experience and achievement. The successful candidate will join an inter-disciplinary team of highly-skilled and innovative researchers in Sustainable Mobility

Essential Knowledge & Experience

• Expertise in machine learning for large-scale systems, in particular deep and/or reinforcement

learning,

• Expertise in distributed computing,

• Excellent software engineering and programming skills ,

• Established track record of publication in leading journals/conferences, on relevant topics,

• Excellent written and oral communication skills,

• Experience of project proposal writing,

• The ability to work well in a group,

• Strong self-motivation and willingness to learn.

Desirable Knowledge & Experience

Experience in one or more of the following areas, is considered is preferable:

• Intelligent transport systems/intelligent mobility,

• Optimisation,

• Industry collaboration.

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