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.
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.
Professor and Director of IADS
School of Computer Science and Electronic Engineering (CSEE)Supervision areas: Security and Privacy Requirements Engineering.
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.
Lecturer
Department of Language and LinguisticsSupervision areas: Language Attitudes, Sociolinguistics, Language Variation and Change, Sociophonetics.
Lecturer
School of Life SciencesSupervision areas: Biological Machine Learning, Computational Palaeobiology, Quantifying Evolutionary Convergence, Ediacaran Palaeobiology and Palaeoecology
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.
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.
Research Fellow (IADS)
Department of Language and LinguisticsSupervision areas: Forensic Linguistics, Sociolinguistics, Language Technology, Natural Language Processing.
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.
Over the years students have researched many different themes and topics alongside the Institute:
Postgraduate Research Student
School of Computer Science and Electronic Engineering (CSEE)Postgraduate Research Student
School of Computer Science and Electronic Engineering (CSEE)Postgraduate Research Student
School of Computer Science and Electronic Engineering (CSEE)Postgraduate Research Student
School of Computer Science and Electronic Engineering (CSEE)Our expertise attracts major funding from UK research councils to deliver ground-breaking doctoral training programmes in a range of areas including:
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: