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Digital Environment Research Institute (DERI)

Join DERI

We collaborate with a range of partners across Queen Mary and internationally to support our mission to deliver innovation and drive impact in digital, data science, and AI. As a member of DERI, you'll be part of a world-leading network of researchers and receive access to exclusive events and opportunities.

There are multiple ways to engage with DERI which include:

Vacancies: Current vacancies to join us to work at DERI will appear below when available.

Fellowship Opportunities:  We welcome expressions of interest from excellent candidates looking to apply for independent Fellowships hosted in DERI. Further details can be found on our dedicated Fellowships Page.

Visiting Academics: We seek to collaborate widely with researchers from across the world, and welcome expressions of interest from those waiting to collaborate with DERI as part of a visiting researcher opportunity. We encourage anyone in this position to research out directly to our academic staff, to discuss collaborations and opportunities in DERI. You can see further details of our staff on the Research Team pages.

PhD Opportunities: Students looking to undertake a PhD in DERI are encouraged to review our Research Teams and contact potential supervisors directly to discuss opportunities. Any funded positions available within DERI will be added to the vacancies section below.  

You can also connect with DERI via our social media channels:

Linkedin: linkedin.com/in/qm-deri

X: @DERI_QMUL

Current Vacancies

Professor of Digital Twins - Closing Date April 30th 2024

We seek to appoint an exceptional individual as Professor of Digital Twins. In this role, you will be a key member of the DERI leadership team, contributing to development, as well as inspiring, and leading on expanding research in this space to deliver outstanding, interdisciplinary research impact. We consider Digital Twins in broad terms, involving advanced simulation, monitoring, and predictive analytics capabilities including the use of AI.  Digital twins have application to diverse areas including healthcare, physiotherapy and fitness, manufacturing, smart cities, transportation, aerospace and defense, agriculture, robotics, earth systems, architecture and design, creative industries, and other areas.

This role is research-intensive and one of four key strategic academic appointments. These roles are unique in that they are dedicated to research and have minimal, if any, teaching responsibilities. Each post comes with support to facilitate the growth of a research group, and the forging of collaborations, enabling the post-holder to seamlessly establish themselves at DERI.

Find out more about the role, and how to apply on the Queen Mary Jobs pages: https://www.qmul.ac.uk/jobs/vacancies/items/9584.html 

Postdoctoral Research Associate in AI for Musculoskeletal Conditions - Closing Date April 28th 2024

We are looking for a Postdoctoral Research Associate with experience in machine and deep learning to work on a research project funded by the Precision Musculoskeletal Care Theme of the recent NIHR Biomedical Research Centre Award to Barts Health NHS Trust.

The research will involve analysis of multi-omics data including our unique biomedical resource of 1000 RA patients with longitudinal biopsy and matching blood, as well as patient reported outcome measures (PROMs) for clinical management.  Methods likely to be relevant include traditional machine learning approaches such as logistic regression and gradient boosting, as well as Bayesian networks and deep neural networks.

Find out more about the role, and how to apply on the Queen Mary Jobs pages: https://www.qmul.ac.uk/jobs/vacancies/items/9542.html 

Postdoctoral Research Assistant in Cardiac AI/Digital Twins - Closing Date May 6th 2024

Applications are invited for a Postdoctoral Research Associate with experience in machine and deep learning to work on a research project funded by the Precision Health, Cardiovascular Devices and Trials Theme, part of a recent NIHR Biomedical Research Centre Award to Barts Health NHS Trust.

The research will involve using the cardiovascular digital twin concept to digitally model three disease states: acute coronary syndromes, valvular heart disease and hypertension. These models will be created by inputting data from available existing and novel wearables, sensing technologies, apps and large data registries. Using this data, digital models will be created to provide personalised patient treatment plans supporting their disease management, predicting disease states/trends and enabling device choice/design by predicting the patient’s response. Find out more about the role, and how to apply on the Queen Mary Jobs pages: https://www.qmul.ac.uk/jobs/vacancies/items/9589.html

 

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