17 Postdoctoral Fellowship at Queen Mary University of London, United Kingdom

This is an opportunity to be involved in a research team, led by Dr Christopher Chen, to work on the UKRI Future Leaders Fellowship (FLF) project “Exploring New Regions of Space: Fundamentals and Impacts of Astrophysical Plasma Turbulence”. This is a highly collaborative team effort, with interlinking (and flexible) projects, to understand both fundamental space/astrophysical/experimental plasma process and applied space weather research – including the fundamentals of turbulence, the role it plays in controlling heliospheric/astrophysical dynamics, and its largely unexplored role in space weather. The project involves cutting-edge observational data analysis, lab plasma experiments, theory, numerical simulation, and space weather modeling, so applicants with expertise in any of these areas (and interest in getting involved in the others) are encouraged. The FLF offers extensive dedicated career support for all team members

The term “Artificial Neuroscience” conveys the influence of paradigms from conventional neuroscience on Deep Learning research. This position explores the use of Linear Algebra (e.g. tensor decomposition) to measure and understand the learning and inference processes of DL “artificial brains’, using this to engineer new, efficient ways to (re-)build those models. These models will consume less energy, train faster and more accurately, need less data and be deployable in smaller devices. Your contribution includes novel research, production of training materials, planning future research proposals and collaborating with external partners. 

A Postdoctoral Research Associate position is available at Queen Mary University of London (QMUL) in Prof. Christian Nielsen’s group (https://nielsen-lab.com/) to work on a research project funded by the Leverhulme Trust entitled “Deliberate imperfection: topological design of defects within graphene” in collaboration with colleagues at University of Warwick and University of Nottingham.

We are seeking an innovative, dedicated and proactive Developmental Science/Psychology Postdoctoral Researcher to join our academic team on a new cutting-edge UKRI-funded interdisciplinary research project investigating the age appropriateness of children’s animation. The Animating Minds project will bring together industry representatives with developmental cognitive neuroscientists, media theorists, creative computing and machine learning experts to develop a computational tool that predicts the neurocognitive impact of video clips on 3- to 6-year-old children.

As the lead post-doctoral research fellow at Queen Mary University of London, you will play a critical role in managing the day-to-day running of the project including co-ordinating activities of the research assistant in collaboration with Prof. Rachael Bedford. You will be responsible for project planning and developing the protocols for quantitative online and lab-based developmental studies, using eye-tracking and fNIRS to measure the direct impact of videos on children, as well as analysing the resulting data. The position is based in Centre for Brain and Behaviour (CBB), a diverse, interdisciplinary, scientific environment in the School of Biological and Behavioural Sciences. Within the CBB, the state-of-the-art Child Development Lab includes EEG, fNIRS, high-speed precision eye-tracking and actigraphy. As part of the project you will work together with Co-Is and researchers across multiple UK institutions.

The post holder will focus on developing novel methodology for high-dimensional time series analysis with a focus on financial applications. You will be part of the Centre for Probability, Statistics and Data Science. The centre covers three broadly overlapping main areas of research: probability, statistics and data science. Probability theory is a core topic within mathematics and a foundational aspect in much of the work of the centre. A broad range of areas within probability and applied probability are investigated from stochastic processes, understanding the properties of random mathematical structures including many applications to areas such as statistical physics, finance, etc. The centre also has a strong group of statisticians developing both statistical theory, e.g. Bayesian inference, methodologies, e.g. modelling of spatio-temporal data, and applications, e.g. biostatistics.

We are seeking a post-doctoral research associate to drive an innovative project between Power Roll Ltd. and Queen Mary University of London (QMUL). The project is an Innovate UK Knowledge Transfer Partnership (KTP) between Power Roll and QMUL. The successful candidate will hold a PhD or equivalent experience in chemistry, physics, or materials science. Expertise in optoelectronics, photovoltaics, perovskites, slot-die coating, or optical characterisation is highly desirable. 

This role is a unique opportunity to apply your knowledge within a groundbreaking collaboration between QMUL’s School of Physical and Chemical Sciences—part of the Faculty of Science and Engineering—and Power Roll, a leader in disruptive energy technologies. 

Based primarily at Power Roll’s world-class R&D facility in Sunderland, you will be employed by QMUL and have access rights to facilitate your work at Power Roll, with periodic travel to QMUL for research and training. 

Applicants are invited for a Research Assistant or Postdoctoral Research Associate position in machine learning for wireless networks in the School of EECS at the Queen Mary University of London. The role will be part of an EPSRC-funded project on Platform Driving The Ultimate Connectivity (TITAN).

We are looking for a highly motivated postdoctoral research associate (PDRA) to join the research group of Professor Gina Neff, Professor of Responsible AI at Queen Mary’s Digital Environment Research Institute (DERI).

The project focuses on developing AI safety guidelines and is funded as part of the AI Safety Institute, and UKRI research programme looking at working towards AI Safety. You will contribute towards the development of frameworks for workplace monitoring and mitigation of sociotechnical AI risks in the post-deployment stage of AI development. 

Applications are sought for an exciting opportunity within the Ciccarelli lab, within the Centre for Cancer Evolution , Barts Cancer Institute. We are seeking an independent, highly motivated computational Postdoctoral Research Associate to lead on an established and successful research line aimed at understanding the role of the tumour immune microenvironment (TIME) in response to immunotherapy.

The Ciccarelli lab is highly collaborative and interdisciplinary and the ability to work in a team is essential. Most projects are shared across team members as we think that active collaboration rather than competition leads to scientific progress. Our group is based at the Barts Cancer Institute and are affiliated with the Francis Crick Institute, a pioneering biomedical research institute in London where our wet lab is located. We are also part of Cancer Research UK City of London Centre, which sponsor our high-performance computer cluster facility.

We invite applications for the position of Postdoctoral Research Associate (PDRA) in the School of Mathematical Sciences for the project “Moments of higher rank L-functions”, funded by the EPSRC. The project will broadly involve analytic aspects of higher rank automorphic forms and L-functions. The typical problems include subconvex estimates of L-functions, analysis on arithmetic manifolds, equidistribution on higher rank homogeneous spaces, and problems from representation theory of Lie groups.

We invite applications for the position of Postdoctoral Research Associate  in the School of Mathematical Sciences for the project “Toward a cohomology of theories” funded by EPSRC as a Small Project. The successful applicant will work with Dr Ivan Tomasic on the development of groupoid cohomology and its connections with the theory of descent.

A Postdoctoral Research Associate position is available in Dr Guifen Chen’s lab in the Department of Psychology, School of Biological and Behavioural Sciences.  Building on the previous work from Dr Chen’s lab (Yang et al 2024), the project will explore the neural mechanisms underlying the generation and updating of allocentric spatial representations from incoming visual and auditory cues perceived in the egocentric reference frame.

The post is full-time, with an initial contract for two years, until July 2027. The primary responsibilities of the role are to design and carry out experiments, conduct data analysis, and write scientific reports.  In addition, there is scope for supporting PhD students, and collaborating with other experimental and computational neuroscientists within and outside the UK. The initial funding is through a 3 year BBSRC grant, with the potential for extension subject to additional grant approval.

Applicants are invited for a Postdoctoral Research Associate position in machine learning for wireless networks in the School of EECS at the Queen Mary University of London. The role will be part of an EPSRC-funded project on Smart Solutions Towards Cellular-Connected Unmanned Aerial Vehicles System (AUTONOMY). This is a joint project among King’s College London and University of Southampton, with industrial partners, such as Ericsson, Accelercomm and Toshiba.  

We are seeking a Postdoctoral Research Associate to contribute to an ongoing Barts Charity and MRC funded research project involving Epigenetic regulation of the human placenta. The successful candidate will plan and carry out experimental work, analyse data, and devise techniques for further development of the project development. Tasks will include performing CRISPR mediated knockout and knockdown validations, transfection, imaging, protein analysis, RNA and chromatin analysis, and analysing with genomics datasets. Training will be provided where needed.