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University of Essex homepage Centres and Institutes Institute for Analytics and Data Science Postgraduate Research
Institute for Analytics and Data Science

Completing your PhD with the Institute for Analytics and Data Science

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The Institute for Analytics and Data Science at the University of Essex is globally renowned for its world-class interdisciplinary expertise in the analytics and data science to develop lasting solutions that transform the world for the benefit of individuals and communities.

Our experts include computer and electronic engineering scientists, statisticians and mathematicians, bioinformatics and biomedical scientists, social and political scientists, economists and finance experts, digital humanities experts, human rights experts, ethics and legal experts.

We are proud to have supported the generations of postgraduate researchers who go on to transcend disciplinary boundaries and create a real change in industries such as insurance, financial analysis and management, charities and NGOs, and the public sector, while also starting their own businesses and consultancy services.

Our research supervisors

IADS has a multidisciplinary and interdisciplinary research community of over 200 experts from three faculties and 13 disciplines. More information about our academics and researchers is available on the ‘Our people’ page.

Core institute members and alumni include:

Professor Haris Mouratidis
Professor Haris Mouratidis

Professor and Director of IADS

School of Computer Science and Electronic Engineering (CSEE)

Supervision areas: Security and Privacy Requirements Engineering.
Dr Spyros Samothrakis
Dr Spyros Samothrakis

Senior Lecturer and Deputy Director of IADS

School of Computer Science and Electronic Engineering (CSEE)

Supervision areas: Reinforcement Learning, Machine Learning, Neural Networks, Role Playing Games.
Dr Amanda Cole
Dr Amanda Cole

Lecturer

Department of Language and Linguistics

Supervision areas: Language Attitudes, Sociolinguistics, Language Variation and Change, Sociophonetics.
Dr Jennifer Hoyal Cuthill
Dr Jennifer Hoyal Cuthill

Lecturer

School of Life Sciences

Supervision areas: Biological Machine Learning, Computational Palaeobiology, Quantifying Evolutionary Convergence, Ediacaran Palaeobiology and Palaeoecology
Dr Ana Matran-Fernandez
Dr Ana Matran-Fernandez

Lecturer

School of Computer Science and Electronic Engineering (CSEE)

Supervision areas: Brain-Computer Interfaces, Machine Learning Applied to Biomedical Signals, Event-Related Potentials (ERPs), Memory, Neural Engineering.
Dr JunKyu Lee
Dr JunKyu Lee

Research Fellow

School of Computer Science and Electronic Engineering (CSEE)

Supervision areas: Energy-Efficient AI, Trustworthy AI, Machine Learning, Tinyml, Federated Learning, Kernel Methods, Signal Processing, Fpgas, Numerical Linear Algebra, Resource-Efficient Convolutional Networks, Real-Time Object Detection.
Dr Nina Markl
Dr Nina Markl

Research Fellow (IADS)

Department of Language and Linguistics

Supervision areas: Forensic Linguistics, Sociolinguistics, Language Technology, Natural Language Processing.
Dr Haider Raza
Dr Haider Raza

Senior Lecturer

School of Computer Science and Electronic Engineering (CSEE)

Supervision areas: Big Data and Analytics, Brain-Computer Interface, Deep Learning, Transfer Learning, Non-Stationary Learning and Domain Adaptation, Artificial Intelligence (AI) and eXplainable AI (XAI), EEG and MEG Signal Processing, EEG and MEG Signal Processing.

Current PGR students working with the institute

David Barragan Alcantar
David Barragan Alcantar

Postgraduate Research Student

School of Computer Science and Electronic Engineering (CSEE)

Fatemeh Faraji
Fatemeh Faraji

Postgraduate Research Student

School of Computer Science and Electronic Engineering (CSEE)

Laila Alqahtani
Laila Alqahtani

Postgraduate Research Student

School of Computer Science and Electronic Engineering (CSEE)

Samuel Daniels
Samuel Daniels

Postgraduate Research Student

School of Computer Science and Electronic Engineering (CSEE)

Study with us

Our expertise attracts major funding from UK research councils to deliver ground-breaking doctoral training programmes in a range of areas including:

  • exploring the most challenging social science issues of the 21st century
  • investigating the interplay between a person's biology, experiences and behaviour
  • artificial intelligence, machine learning, bioinformatics and genomic analysis of big data

 

Find out more about Postgraduate Research Study at Essex, including funding and how to apply

The Institute is superbly place to support doctoral research in any area of interest that engages with its remit. This includes students wishing to research the area of data science and analytics and study for a postgraduate research degree in other departments. Including:

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