Research Fellow, School of Physical and Mathematical Sciences
The School of Physical & Mathematical Sciences is looking for a candidate to join them as a Research Fellow.
The candidate is required to create and develop new algorithms using ideas from complex networks and complexity science in a reservoir computing framework for fast and adaptive intelligent scheduling of bus network services.
- PhD in Physics; with experience in Complex Networks, Dynamical System Theory, and Machine Learning
- Have skills in Python programming language and data analytics
Please note that only shortlisted candidates would be notified.