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Apply here for 3 open studentships in 2021

last modified Oct 19, 2020 03:54 PM

FIBE2 CDT has 3 open studentships for entry in October 2021. The 4-year MRes + PhD studentships are EPSRC fully sponsored for UK students. 

The projects are funded in collaboration with AVEVA, a Global Leader in Industrial Software that deliver solutions and expertise to optimize engineering, operations and performance supporting the evolution of the industries and BP, a company that provide heat, light and mobility to customers all over the world, with a purpose to reimagine energy for people and the planet and an ambition to be a net zero company by 2050 or sooner.

1) The Digitising Industrial Facilities project with Aveva and BP will focus on geometry and visual data of large scale energy assets to maintain feasibility. In this project, the student will: a) collaborate with the FIBE2 Partners and the Centre for Digital Built Britain (CDBB) to conduct a user requirements analysis for the purpose of deriving a geometric Digital Twin data structure; b) develop a matching method for comparing captured data with the geometric digital twin to construct and maintain it; c) if time allows, develop a data fusion method for linking other forms of data into the geometric digital twin. Informal enquires about this post can be made to Dr Ioannis Brilakis (ib340@cam.ac.uk). The closing date for this application is 3rd December 2020. Please apply for the studentship at http://www.jobs.cam.ac.uk/job/26897/

2) The Prioritising interventions in infrastructure design and operations for lower carbon energy assets project with  with Aveva and BP explore these questions. To what extent can design choices about industrial infrastructure influence future operational emissions? Which parameters should be considered and which should carry the highest weight in decision-making? What trade-offs exist between design for operability and design for minimal emissions? And it has the following research objectives: 1. Compare the relative importance of the various stages of the life cycle of assets in terms of key economic and environmental variables. 2. Explore the impact of alternative interventions in the design, location, operation, material choice, and timeline of deployment in terms of emissions and costs. 3. Explore how design and operation of infrastructure influence the achievement of climate targets. 4. Develop a dynamic tool to assess the whole system impacts of design and operation choices of large scale energy assets. 5. Prioritise interventions and recommendations of future practices for specific case studies. Informal enquires about this post can be made to Dr André Cabrera Serrenho (ag806@cam.ac.uk).  The closing date for this application is 3rd December 2020. Please apply for the studentship at http://www.jobs.cam.ac.uk/job/26898/

3) The Remote sensing for the monitoring of dynamic behaviours impacting sustainable development project with BP explores large scale temporal datasets collected by remote sensing. It provides an opportunity to understand and improve human activities which affect global targets set by the UN Sustainable Development Goals. Multiple data sources enable us to grasp different pieces of information which each partially characterise what is happening on the earth's surface and we can try to take advantage of this diversification of sources. Combining all of these datasets is a challenge from the data analysis point of view - we are dealing with large-scale heterogeneous datasets, with poor and/or unreliable training data for the set up and running of models. In this `big data' scenario, each dataset will `speak a different language', i.e. the datasets may not immediately be directly comparable. This project aims to fuse, upscale and expand information gained on specific areas by in-situ and remote sensing datasets to obtain more precise monitoring of dynamic phenomena. We aim to develop data analysis methods to improve the characterisation of a chosen physical/environmental phenomena that is inadequately covered by a single satellite sensor or cumbersome to investigate by field campaign. Informal enquires about this post can be made to Sivasakthy Selvakumaran (ss683@cam.ac.uk). This project will be advertised shortly on jobs.cam.ac.uk for studentship applications.