Moazen to lead Human Science Frontier Program project to study osteoderms
"We do not know what drives the extraordinary diversity of osteoderms in lizards, how it is controlled, or how it originated."Read more
Research in autonomous surface vehicle (ASV) has been gaining attention in the recent decade due to the increasing need of reconnaissance in hostile environments and maturity of the technology. However, one of the few remaining problems yet to be solved is the accurate and robust navigation in constrained environment, where the capability of conventional navigation devices such as radar, GPS and LiDAR are largely compromised. This study will maintain a holistic view and seek the solution to these issues by developing an ‘intelligent’ navigation system. The main task of the study is to develop an autonomous navigation system for an ASV using the state-of-the-art machine learning algorithms. It involves activities in developing an neurobiologically inspired algorithm to generate the navigation paths conform to regulations and developing an interface with navigational instruments as well as the directional control system. This project will be undertaken within the department of mechanical engineering and will also work closely with industrial and academic partners. A unique opportunity will be provided for the PhD student to interact with both national and international researchers.
Essential: Applicants should have a first or second class UK honours degree, a mater degree or equivalent in control engineering, computer science, electronic engineering or similar.
We will be continuously having informal discussion with interested candidates until this position is filled.
Full tuition fees and stipend of up to £16,777 per annum (for 3 years)
This funding is available for UK and EU passport holders. International students may apply; however, fees will be capped at UK/EU level (students will be required to pay the difference in fees). There is no minimum qualifying residence requirement for applicants from the EU. Please DO NOT enquire about this studentship if you are ineligible. Please refer to the following website for eligibility criteria: https://www.ucl.ac.uk/prospective-students/graduate/research-degrees/mechanical-engineering-mphil-phd
Closing date: 15th December 2018 23:59…Read more