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Data Analysis (city) PhD Projects, Programs & Scholarships

We have 21 Data Analysis (city) PhD Projects, Programs & Scholarships

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  The role of the road network on city economic performance
  Dr G Punzo
Applications accepted all year round

Funding Type

PhD Type

This project aims at mapping the transport enabled connectivity of the city economy. Using traffic data from Sheffield City Council and insights from the census, this project will draw a picture of mobility within Sheffield an across the City Region.
  Achieving Decarbonisation Solutions Through Sustainable Smart City Technologies (Advert Reference: RDF20/EE/ABE/AZIZI)
  Dr Z Mokhtar Azizi
Application Deadline: 24 January 2020

Funding Type

PhD Type

Sustainable smart city (SSC) is a popular concept that aims to enhance efficiency of city governance and improve quality of life by taking advantage of technological innovations and integrating advanced Information and Communication Technologies (ICTs), Big Data, and Internet of Things (IoT).
  PhD studentship in Urban Ecohydrology
  Dr G Manoli
Application Deadline: 25 December 2019

Funding Type

PhD Type

Despite the rapid urbanization of our planet and the significance of cities in human societies, our ability to sustainably design urban systems is limited.
  The role of individual lifestyle choices in sustainability transformation
  Prof L Jack, Dr L Stafford, Dr C Bowyer
Application Deadline: 23 February 2020

Funding Type

PhD Type

Applications are invited for a fully-funded three year PhD to commence in October 2020. This studentship belongs to ‘Transforming Portsmouth’, a cross-university interdisciplinary research programme designed to provide actionable evidence to underpin Portsmouth’s transformation to a sustainable city.
  An AI-driven approach to proactive Internet Of Things (IoT) based systems - Project ID SOC0008
  Prof X Liu
Applications accepted all year round

Funding Type

PhD Type

The Internet of Things (IoT) refers to the ever-growing network of physical objects such as smart devices, vehicles, buildings and other items embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to interact autonomously and intelligently.
  2019/20 PhD programs at the IMT School for Advanced Studies Lucca

Funding Type

PhD Type

Highly motivated candidates from all disciplines are invited to apply for one of the 32 fully-funded scholarships, which are equally divided between two doctoral Programs that integrate scientific competences of economics, engineering, computer science, neuroscience and behavioral psychology, physics, applied mathematics, statistics, history and sciences of cultural heritage.
  UAV-assisted Distributed Blockchain Technology to Secure the IoTs from DDoS
  Dr D GC
Applications accepted all year round

Funding Type

PhD Type

Internet-of-Things (IoT) is an ecosystem of sensors and physical devices that are accessible through the Internet.
  Evidence synthesis in health impact models for interventions to prevent chronic diseases
  Dr C Jackson, Dr A Presanis, Dr D DeAngelis
Application Deadline: 7 January 2020

Funding Type

PhD Type

Many public health interventions are designed to reduce the risk of more than one disease, for example, interventions related to physical activity or diet, or general health checks.
  ONE Planet DTP - Designing Electric vehicle Commuter travel ENvironments for fuTure LifestYles (DECENTLY) (OP20309)
  Dr D Dissanayake
Application Deadline: 31 January 2020

Funding Type

PhD Type

As a means to mitigate impending climate change and air quality issues associated to transportation emissions, the UK is set a target for 60% of new cars to be electric vehicles (EVs) by 2030.
  An investigation of the impact of disruption on occupiers and landlords in Commercial Real Estate Markets (Advert Ref: SF19/EE/ABE/GREENHALGH)
  Prof P Greenhalgh, Dr K Muldoon-Smith
Applications accepted all year round

Funding Type

PhD Type

Commercial real estate markets are increasingly prone to dynamic and disruptive change, the drivers of which include technological, social, environmental and employment practices.
  Developing Robust Visual Recognition Frameworks using Synthetic Data (Application Ref: SF19/EE/CIS/HO)
  Dr E Ho, Dr H Shum
Applications accepted all year round

Funding Type

PhD Type

Deep Learning is one of the major research themes across different areas in scientific research. With the promising performance and results presented over the last few years, deep learning algorithms are dominating a lot of data-driven tasks in visual recognition.
  Fully funded PhD position in Software Engineering
  Dr S Baltes
Application Deadline: 20 December 2019

Funding Type

PhD Type

The Position. A fully funded PhD scholarship covering both tuition fees and living expenses for three years is available immediately in the broad area of empirical software engineering.
  Statistical meta-learning approaches for smart distributed systems
  Dr X Chen
Application Deadline: 10 February 2020

Funding Type

PhD Type

Meta-learning, also known as “learning to learn”, is a machine learning technique that aims to design models that can learn from new environments rapidly with a very limited number of samples.
  Environmental data science: a new machine learning approach to study the influence of climate change on extreme weather (NOWACKPU20SCIEC)
  Dr P Nowack, Prof M Joshi
Application Deadline: 30 January 2020

Funding Type

PhD Type

Climate change is one of the most pressing societal and scientific challenges. Improving our understanding of climate change, in particular concerning its impacts on the country- or even city-scale, is therefore a global research priority.
  PhD projects for Quantitative Scientists at the MRC Human Genetics Unit

Funding Type

PhD Type

 "Are you a graduate level physicist, mathematician, statistician, engineer, computer scientist, bioinformatician or similar, seeking PhD training to made a difference in medicine and biology?" If so, we want you!.
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