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This position provides an opportunity for the successful candidate to develop innovative solutions for the safe and sustainable operation of ships. The Marine Research Group (MRG) at UCL has a project on the safety and sustainability of commercial ships and boats in Indonesia in collaboration with Sepuluh Nopember Institute of Technology (ITS), University of Pattimura and Orela Shipyard, funded by the British Council. Additionally, the MRG is investigating the resilience to fire and collision of flight and hanger decks in collaboration with Pusan National University, South Korea.
The candidate will perform high quality research in the field of naval architecture, with a specific focus on the following areas: remote monitoring and data analytics including machine learning of ships and boats; reconfiguration of commercial vessels and their operations to ensure a safe working environment, particularly accounting for the impact of COVID19 guidelines; fire and collision hazards of flight and hanger decks.
The candidate will develop new cost-effective remote monitoring techniques, using sensors, machine learning techniques and post-processing algorithms to establish key indicators of ship safety and performance in Indonesia. They will complete a state-of-the-art review and horizon scanning outlook for fire and collision hazards, fire safety analysis, modelling and structural arrangements for flight and hangar decks of naval vessels. They will interact with, and present findings at meetings with, funders and project partners.
The position may offer opportunities to engage in teaching activities in UCL Mechanical Engineering and also to engage with and mentor MEng, MSc and PhD students.
The post will be based mainly on the UCL Bloomsbury campus and is for 2 years in the first instance.
The candidate will have a MSc or equivalent in a relevant subject area. You will have knowledge and experience of research techniques and methods and evidence of completed research. You will be proficient in one or more applicable programming languages from MATLAB, Python or C++. You will be able to conduct literature reviews, synthesise, analyse and write up data and be committed to continuous professional development.
Please note: appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary £31,542 – £33,257 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.