Postgraduate Research

Opportunities

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Are you looking for a postgraduate research opportunity?

We're offering a wide variety of studentships and other research opportunities throughout the year. As a research student, you'll work with at least one academic supervisor and be given research training to help you gain skills in research methodology.

Take a look at our current opportunities below.

Current Faculty of Science and Health studentship opportunities

Text analytics with deep learning for predicting dynamic economic systems

The goal of the PhD studentship is to develop novel text analytics methods based on modern Deep Neural Networks. The novel text analytics methods will be applied to better understand and analyse the complexity of real-world activities and dynamics in socio-economic systems such as stock markets, health care services, innovation processes and others.

Lead department: School of Computer Science and Electronic Engineering (in collaboration with the Department of Mathematical Sciences)

Closing date: 28 June 2019


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Privacy-assuring signal processing for the release of healthcare data

This project is concerned with issues around data privacy in relation to the sharing of healthcare patient information/signal.

Lead department: School of Computer Science and Electronic Engineering (in collaboration with the School of Health and Social Care).

Closing date: 28 June 2019


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Automated monitoring & analysis of animal behaviour for health & welfare

This collaborative project brings together experts in animal behaviour and data analysis in order to improve the welfare of managed and captive animals.

Lead department: Department of Mathematical Sciences (in collaboration with the School of Biological Sciences)

Closing date: 10 July 2019


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Departmental studentships - Computer Science and Electronic Engineering

Developing novel AI techniques to mobile network coverage

This funded PhD studentship will develop a range of AI techniques, systems and models to improve mobile network coverage.

Department: School of Computer Science and Electronic Engineering 

Closing date: 14 June 2019


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Digital twins for intelligent asset monitoring and advanced simulation

The PhD project aims to investigate the applications of digital twins to support BT business operating models, focusing on advanced simulation (e.g. smart building/assets simulation), operation and data analysis.

Department: School of Computer Science and Electronic Engineering 

Closing date: 14 June 2019


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Analysing and understanding multisource and multipurpose unstructured data using deep learning

This PhD studentship aims to address this challenge with automated text analyses using modern machine learning methods, most importantly Deep Learning techniques. The successful candidate will have the opportunity and be expected to partially work at BT’s research and development site at Adastral Park, Ipswich in order to run large-scale experiments on BT’s data sets.

Department: School of Computer Science and Electronic Engineering

Closing date: 17 June 2019.


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Modelling beliefs dynamics of social media users with machine learning methodologies

This project aims to develop a Virtual Social Media Companion that educates and supports teenage school students facing the threats of social media such as discrimination and biases as well as hate speech, bullying, fake news and other toxic content. The companion will raise awareness of potential threats in social media among students without being intrusive. It will apply gamification strategies and educative information selection algorithms.

Department: School of Computer Science and Electronic Engineering

Closing date: 28 June 2019.


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Departmental studentships - Mathematical Sciences

A distributed and real-time learning framework for Smart Meter big data

This project aims to develop a distributed and real-time machine learning framework for smart meter big data, and explore its applications including energy demand management and grid operations.

Department: Department of Mathematical Sciences

Closing date: 3 July 2019


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Multi-component integrable systems and Bose-Einstein condensates

The proposed project aims to build up a systematic theory of rational solutions of multi-component integrable systems (i.e. systems of coupled nonlinear partial differential equations (PDEs) integrable/solvable by Inverse Scattering Method).

The project lies in the broad area of Applied Mathematics and Mathematical Physics, including some interdisciplinary elements – it brings together ideas from Functional analysis and Spectral theory, Group theory (Lie groups and Lie algebras, symmetries) and Differential geometry (symmetric spaces).

Department: Department of Mathematical Sciences

Closing date: 3 July 2019


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Departmental studentships - Biological Sciences

The School of Biological Sciences at the University of Essex has a PhD studentship to be awarded to one of two potential projects:

Closing date is 22 July 2019.

Successful candidates are expected to start in October 2019.

MSD Studentship: Development of novel cancer treatments: structural studies of Nectin 4 in complex with bespoke anti-cancer peptides

This project targets the current gap in therapeutic approaches targeting Triple Negative Breast Cancer (TNBC) that, unlike other breast cancer subtypes, lacks recommended chemotherapy treatment.

Please note that this is a one-year Master of Science by Dissertation (MSD) opportunity, not a PhD.

Department: Biological Sciences

Closing date: 1 July 2019


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