【博士奖学金】最新PhD招生和奖学金信息（213）
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Application Deadline：Friday, February 18, 2022
The successful candidate will join the UCL CDT in Intelligent, Integrated Imaging in Healthcare (i4health) cohort and benefit from the activities and events organised by the centre.
2. Optimise the hardware and develop an imaging protocol. The student will apply understanding of OCT image formation and clinical requirements to develop an imaging protocol.
3. Develop bespoke imaging segmentation and analysis tool for the oral cavity
4. Investigate the use of quantitative approaches to OCT imaging such as parametric imaging which have been used in other biomedical applications to differentiate between tissue types.
5. Demonstrate the above in a clinical setting.
Application Details:
Applicants are generally expected to have, or expect to obtain, a UK first class or 2:1 honours degree (or equivalent international qualifications or experience) in physics, engineering, mathematics or related subjects. Applicants must have an interest in applying their skills in clinical settings.
Applicants should demonstrate all of the following skills and attributes:
Coding in high level languages such as Matlab and Python.
A working knowledge optical imaging or optical coherence tomography.
Excellent verbal and written communication skills.
Willingness to take initiative and lead.
Ability to work independently and in a team.
Applicants should also demonstrate some of the following desirable skills:
Experience with image analysis and segmentation.
Background in rapid prototyping such as by CAD and 3D printing.
Experience with machine learning.
How to apply:
Please complete the following steps to apply.
Send an expression of interest and current CV to: p.munro@ucl.ac.uk and cdtadmin@ucl.ac.uk]
Please quote Project Code: 22002 in the email subject line.
Make a formal application to via the UCL application portal https://www.ucl.ac.uk/prospective-students/graduate/apply . Please select the programme code Medical Imaging TMRMEISING01 and enter Project Code 22002 under ‘Name of Award 1’
Application Deadline: 18 February 2022
If shortlisted, you will be invited for an interview.
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Big data / machine learning approaches to de-risk urban heat islands to enhance urban sustainability
Application Deadline ：Tuesday, March 01, 2022
This project is available as a 3 years full-time PhD study programme with expected start date of 1 October 2022
Landcover modifications by cities lead to the urban heat island (UHI) effect, leading to increased economic expenditure, energy consumption, and adverse health impacts. Current planning approaches rarely account for the phenomenon and, lack of detailed data at fine scales on heat risk is a major stumbling block. Additionally, the estimation of heat vulnerability and exposure at local levels as well as local adaptive capacity, are not well developed. The overall effect of these research and practice gaps is that UHI measures are missing in global climate models and metropolitan planning methodologies, leading to weak sustainable development governance.
At the same time, data on proxy measures to estimate heat risk, vulnerability, exposure and adaptive capacity are proliferating. Wearable sensors, crowd-sourced data on weather, fine scale socio-economic data, publicly available land cover / land use data, and protocols for local climate mapping are on the increase. This ‘big data’ along with detailed understanding of urban planning contexts could help de-risk cities of heat vulnerability and contribute to local action to adapt to climate change and/or mitigate the negative consequences of urban growth.
Building on work already completed by the BEAM Centre and in collaboration with the SMART Technology Centre, this project will bridge the data science – built environment divide for the common good and sustainable urban environments to solve the problems around urban heat identification and explore their mitigation using nature based solutions (NBS), water and sustainable materials.
The successful candidate will have a urban planning/environmental sciences/sustainability/civil engineering degree and/or data science background (First Class or 2:1 Honours) and a Master’s degree (ideally at least Merit) in a related area or at the interface between the two (e.g. AI, machine learning or sustainability, urban sciences). They will have experience of neural network techniques or willing to learn it as well as experience and knowledge of some quantitative research methods. Prior work in urban sustainability mapping is highly desirable.
Candidates must include an outline of their ideas for exploring big data/machine learning approaches to de-risk urban areas of heat/climate change vulnerability, drawing on relevant literature (via the ‘research proposal’ section of the application form; maximum of 750 words excluding references.
For students commencing their studies in 2022/23:
The studentship is worth £20,400 per year for three years. The studentship covers payment of tuition fees (£4,560 for Home/RUK students or £15,700 for EU/International students) plus an annual stipend of £15,840 for Home/RUK students or an annual scholarship of £4,700 for EU/International students.
EU/International candidates of outstanding calibre may be awarded a studentship of £31,540 per year for three years. The International Enhanced Scholarship covers payment of tuition fees (£15,700) plus an annual stipend of £15,840.
Technological solutions and adoption for a Just Transition
Application Deadline ：Tuesday, March 01, 2022
This project is available as a 3 years full-time PhD study programme with expected start date of 1 October 2022
The next 10 years will be crucial for the global drive to reduce greenhouse gas (GHG) emissions. There is growing consensus that mitigation of these emissions should happen in accordance with the principles of just transition. A just transition towards ‘clean’ energy does not put a disproportionate economic and social burden on workers and communities dependent on the fossil fuel industry for their livelihoods, and supports households and communities that are least capable of adopting new technologies and energy systems.
Mitigation of GHGs will require significant mobilisation of scientific knowledge, technological innovation, financial resources, professional expertise, and civil society. However, rather than a solely technical challenge, a just transition will also be driven by socio-economic factors that affect adoption of technological solutions, and generate cascading effects of this adoption on society. This process can be facilitated greatly by creative technological solutions that stem from interdisciplinary collaboration between natural sciences, social sciences, health sciences and engineering.
The Centre for Climate Justice at Glasgow Caledonian University conducts research and educational activities on climate justice with the goal of promoting challenging conversations on the societal impacts of climate change and gain deeper insights of climate inequality. The Centre is based at the School of Computing, Engineering and Built Environment (SCEBE) specializing in Applied Computer Games, Applied Science, Civil Engineering & Environmental Management, Computing, Construction & Surveying, Cyber Security & Networks, Electrical & Electronic Engineering and Mechanical Engineering.
Building on work already completed by the Centre for Climate Justice and in collaboration with the research centres for SMART Technology and Built Environment Asset Management, this project will focus on the concept of just transition through technology development/adoption, broadly defined, that address relevant issues in key sectors/issues: energy, health, social work, economic development or water & agriculture.
The successful candidate will have a First-Class or 2:1 Honours degree and a Master’s degree (Merit or higher) in a field relevant to the research proposal. They will have demonstrable experience of successful interdisciplinary collaboration on research projects pertaining to climate or environmental issues.
Candidates must include an outline of their ideas on linking broadly defined technology/technological development & adoption with just transition (via the ‘research proposal’ section of the application form; maximum of 750 words excluding references).
For students commencing their studies in 2022/23:
The studentship is worth £20,400 per year for three years. The studentship covers payment of tuition fees (£4,560 for Home/RUK students or £15,700 for EU/International students) plus an annual stipend of £15,840 for Home/RUK students or an annual scholarship of £4,700 for EU/International students.
EU/International candidates of outstanding calibre may be awarded a studentship of £31,540 per year for three years. The International Enhanced Scholarship covers payment of tuition fees (£15,700) plus an annual stipend of £15,840.
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