22 Postdoctoral Fellowship at University of Edinburgh, Scotland, United Kingdom

The School of Informatics wishes to appoint a Postdoctoral Research Associate in the area of data visualization and HCI to work on the ‘Grasping Data’ project which is an interdisciplinary collaboration between the Universities of Edinburgh (the Schools of Education and Informatics) and Glasgow (School of Computing Sciences). The vision of this project is to empower young children to create, explore, understand, and directly benefit from their personal data through visual and physical data representations and bespoke activities. As part of an interdisciplinary team the post holder will be responsible for investigating and co-designing data physicalizations and related activities with children.

Grasping Data is a large two-year funded project to change how we think about children and their personal data. The project goes beyond current emphases on privacy and protection by co-creating cutting-edge, child-centred tools and pedagogies with young children, helping them understand and directly benefit from their own data. We will achieve this by advancing diverse research fields of early learning, cognitive psychology, child-centred design, data ethics, data visualization, and computer science to explore the potential of Data Physicalization for children in their early years (aged 3-8) to construct (with adults) physical representations of their personal data that they can touch, explore, talk about and learn with. Our focus on the youngest learners pushes the boundaries of helping all ages to understand and benefit from data in an increasingly digital world.

Grasping Data is led by Prof. Andrew Manches at the Edinburgh School of Education in collaboration with the Edinburgh School of Informatics and the Glasgow School of Computer Science. Together with project partners (Scottish Schools Education Research Centre (SSERC), the Glasgow Science Centre, and Edinburgh Zoo) and participants (children and their families and educators) we will undertake fundamental, design-led and qualitative research in data visualization with children, families and educators in Scotland. As part of the project, we will explore (1) children’s understanding of and perspectives on personal data and (2) new means for children to actively engage with their personal data through visual and physical data representations and bespoke activities.

This post is one of three Post Doctoral Research Assistant (PDRA) positions each of which will explore “Grasping Data” from the perspective of education, data visualization/physicalization and physical computing, respectively. The post holder will, thus, work within a large interdisciplinary team led by investigators in education (Prof. Andrew Manches and Dr. Cara Wilson), data visualization (Dr. Uta Hinrichs), physical computing (Prof. Stephen Brewster) and the partner organizations mentioned above.

The postholder will be based at the Edinburgh Futures Institute (EFI).The post is associated with the University of Edinburgh’s Centre for Research in Digital Education and within this, the Children, Interaction, and Design Group (CID), the Institute for Design Informatics (IDI) and within this, VisHub, an interdisciplinary research group for data visualization and HCI. For more information, please see the full job description (opens a new tab).

This post is full time at 1.0 FTE. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working, so long as the core qualitative in-person research can be accommodated.   

We are looking for a Postdoctoral Research with expertise in statistics/data science/epidemiology to join our child and adolescent psychiatry research team to help drive new innovation in the prediction and prevention of severe mental illness. The successful candidate will use world-class (healthcare and other) register data from the UK and Finland to drive forward our understanding of childhood risk for later mental illness and to apply causal inference methods to advance research on how to reduce risk for mental illness. 

This post is full-time (35 hours per week). We are open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working. 

A short-term post-doctoral research assistant required to help complete a manuscript describing the role of ER-phagy in initiation of pancreatic cancer. This will involve analysis of mouse models deficient in ER-phagy, human tissues, spatial transcriptomic datasets and manipulation of animals using AAV. Note the role is to specifically complete this study and is a fixed project. Thus prior experience of the technique and subject areas would be very helpful.

Overall, the work will contribute to a larger, high-quality program of research designed to address the mechanisms and functions of ER-phagy, hosted within a dynamic laboratory at the forefront of this field. 

www.ed.ac.uk/cancer-centre/research/wilkinson-group

This post is full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working. This post is fixed-term until 31st October 2025. 

This is an exciting opportunity to build-on and complete an established and well framed project investigating the earliest stages of cancer. It involves the innovative integration of transcriptional and mutation data to effectively look back in time at the past transcriptional states of cells that subsequently grew into tumours. The project involves hands-on work with animal models, molecular biology and high-throughput computational analysis of the resulting data. There is a clear framework for the completion of the project and scope to define new work building on the initial set of findings. The post-holder will join a dynamic and enthusiastic collaboration between the Taylor and Boulter labs at the Institute of Genetics and Cancer (IGC). The Taylor lab specialises in high-throughput computational analysis to understand the mechanisms of mutagenesis and the consequences of mutations. The Boulter lab focusses on the cellular and molecular mechanisms of liver development, repair and oncogenesis. Both labs are based in the MRC core-funded MRC Human Genetics Unit which is part of the wider IGC.

This post is full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.

We are looking for an experienced fire science/engineering experimental researcher to assist in the delivery of a fixed term research project on the fire safety of external wall construction.

We are looking for a statistical geneticist with experience in large scale analyses of genomic data to work on a post funded by the National Institute for Health Research (NIHR) that aims are harness the use, integration and interpretation of large or high dimensional genetic and genomic datasets to investigate multi-morbidity. This post focuses on developing of mathematical models to analyse population-wide genetic and environmental factors linked to multimorbid clusters and to identify causal paths of disease progression and aggregation.

The successful candidate will lead a research programme to understand multi-morbidity in human populations. The successful candidate will interact with a large research community within the Artificial Intelligence community, genomics and health research (https://www.nihr.ac.uk/news/nihr-awards-12-million-to-artificial-intelligence-research-to-help-understand-multiple-long-term-conditions/28581, https://www.ed.ac.uk/usher/news-events/news-2021/artificial-intelligence-multimorbidity-nihr) 

This post is full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working. 

This is an opportunity to work in a collaborative manner between 2 translational research labs that is focussed on liver regeneration (Stuart Forbes, base lab at the Centre for Regenerative Medicine, Institute for Regeneration and Repair) and Type 1 diabetes (collaborating lab Shareen Forbes, Centre for Cardiovascular Science).  The overall aim is to optimise islet transplantation outcomes in diabetic rodent models. This position is to support a research programme funded by the Steve Morgan Foundation/Diabetes UK, investigating whether biodegradable microparticles packaged with a range of drugs including anti-inflammatory and immunomodulatory drugs, improve islet transplant outcomes when delivered with islets at the time of transplant directly into the liver. The post holder will also have the opportunity to work with colleagues in the Cell and Gene Therapy Catapult and the University of Nottingham, Department of Pharmacy (Lisa White lab), that are manufacturing the microparticles.

The goal is to investigate if and how existing operating systems can be redesigned to support emerging data-center computer hardware that will offer pervasive shared memory among different machines, and potentially includes in-memory near data processing. Such pervasive shared memory is going to be provided by new interconnect technologies like Compute Express Link (CXL), while in-memory near data processing devices are already commercially available (e.g., UpMem), but newer technologies are anticipated. 

Candidates for this position are expected to have a PhD (or nearing completion) in Computer Science, Computer Engineering, or a related field with a demonstrated background in operating systems kernel. Strong programming skills in C/C++ and assembly (at least x86 and ARM) are mandatory.

Evidence of high-quality research – e.g., through high-quality publications or high-quality research artifacts – is desirable. 

We are looking for candidates committed towards high-impact research and making a real difference. 

Candidates will have the freedom to define and explore their independent research agenda aligned with the project. They will also have the opportunity to work with students and collaborate with partners from academia and industry.

This is an exciting opportunity for a Research Associate who wishes to work on developing an “intelligent memory accelerator” for large-scale artificial intelligence systems and bring it to the market. It is a post mixing academic innovation with the aim to launch a start-up, taking an idea from the lab to the world.

This post is full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.

We are looking for a talented early career researcher in fluid dynamics and/or machine learning, with expertise in computational methods to work on the project “A new understanding of turbulence via a machine-learnt dynamical systems theory” (UKRI Frontier Research Guarantee for an ERC Starting Grant). 

We are looking for an inventive and enthusiastic postdoctoral researcher to work on a Wellcome Trust Funded Grant studying the molecular controllers of the immune response to inflammation, cancer, and tissue damage using Drosophila as a model system with the ultimate aim of identifying novel therapeutic strategies for inflammatory disease.

This Research Associate position will contribute to the Centre for Electronic Frontiers (CEF) within the Institute for Integrated Micro and Nano Systems at the University of Edinburgh, which is funded by EPSRC and in collaboration with colleagues at Imperial College London and University of Manchester. 

 

This position is also affiliated with a prestigious Royal Academy of Engineering Chair in Emerging Technologies held by Regius Chair of Engineering Prof Prodromakis, Director of CEF. The appointee will support the delivery of the vision of this 10-year programme that aspires developing Embedded AI Hardware solutions for Lifelong Learning applications.

 

This post will involve the development of integrated circuits (IC) for a wide range of embedded AI hardware applications such as AI accelerators, autonomous sensors, biomedical implants, robotic systems, adiabatic computing, and hardware security modules, etc.  It will also involve validating and demonstrating the performance of the developed ICs in solving real-world problems.

The Roslin Institute of the University of Edinburgh is offering a Postdoctoral Research Associate position in the group of Prof Mike McGrew. This position is funded as part of a BBSRC grant associated with the Centre for Tropical Livestock Genetics and Health (CTLGH) www.ctlgh.org. The post will contribute to establishing precision breeding in chicken to achieve step changes in poultry productivity by climate adaptation and develop surrogate host chicken suited to countries with existing legislation and regulations in place for genome edited animals.

This position is affiliated with the UKRI APRIL AI Hub that aspires to develop AI tools to accelerate innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI Hubs, this is a highly visible programme both nationally and internationally. 

The post-holder will work closely with a team of talented researchers and the APRIL operations team to support the development of novel AI capabilities, tools and methodologies that can enhance the productivity of engineers in designing, developing and testing advanced electronic devices and systems. More specifically, the post-holder will be able to develop and introduce AI tools in electronics testing and verification for predicting what to test and when. The research spans from improving scenario coverage in certification tests across devices/systems to automatically deciphering underlying physical mechanism is emerging beyond-CMOS devices. 

The post-holder will have the ability to engage with world-leading experts across AI and electronics both at Edinburgh and in other UK higher education (HE) institutions but also industrial partners to ensure relevance of their Research in addressing state-of-art challenges in electronics. 

The successful candidate will have excellent communication, organisation, and technical skills. They will enjoy working in a dynamic environment and be able to work on their own initiative as well as being an active team member. The role will report to the APRIL Hub Director (Principal Investigator), with on-going engagement with other researchers in the Hub as well as academic leads.

This position is affiliated with the UKRI APRIL AI Hub that aspires to develop AI tools to accelerate innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI Hubs, this is a highly visible programme both nationally and internationally. 

 

The post-holder will work closely with a team of talented researchers and the APRIL operations team to lead the development of novel AI capabilities, tools and methodologies that can enhance the productivity of engineers in designing, developing and testing advanced electronic devices and systems. More specifically, the post-holder should have experience in applying but also developing AI tools for discovering and optimising material compositions for engineering electron devices with desirable behaviours, accelerating materials discovery and their use in sustainable manners. 

 

The post-holder will have the ability to engage with world-leading experts across AI and electronics both at Edinburgh and in other UK higher education (HE) institutions but also industrial partners to ensure relevance of their Research in addressing state-of-art challenges in electronics. 

 

The successful candidate will have experience of project development and project leadership in a research context, together with excellent communication, presentation, and organisational skills. They will enjoy working in a dynamic environment and be able to work on their own initiative as well as being an active team member. The role will report to the APRIL Hub Director (Principal Investigator), with on-going engagement with other researchers in the Hub as well as academic leads. 

This position is affiliated with the UKRI APRIL AI Hub that aspires to develop AI tools to accelerate innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI Hubs, this is a highly visible programme both nationally and internationally. 

The post-holder will work closely with a team of talented researchers and the APRIL operations team to lead the development of novel AI capabilities, tools and methodologies that can enhance the productivity of engineers in designing, developing and testing advanced electronic devices and systems. More specifically, the post-holder should have experience in applying but also developing AI tools that can design and execute experiments in search of the best manufacturing parameter settings to create electron devices with optimum performance and yield; spanning from optimal “device recipe” prediction to automated testing and yield assessment. 

The post-holder will have the ability to engage with world-leading experts across AI and electronics both at Edinburgh and in other UK higher education (HE) institutions but also industrial partners to ensure relevance of their Research in addressing state-of-art challenges in electronics. 

The successful candidate will have experience of project development and project leadership in a research context, together with excellent communication, presentation, and organisational skills. They will enjoy working in a dynamic environment and be able to work on their own initiative as well as being an active team member. The role will report to the APRIL Hub Director (Principal Investigator), with on-going engagement with other researchers in the Hub as well as academic leads. 

This position is affiliated with the UKRI APRIL AI Hub that aspires to develop AI tools to accelerate innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI Hubs, this is a highly visible programme both nationally and internationally. 

The post-holder will work closely with a team of talented researchers and the APRIL operations team to lead the development of novel AI capabilities, tools and methodologies that can enhance the productivity of engineers in designing, developing and testing advanced electronic devices and systems. More specifically, the post-holder should have experience in developing and introducing AI tools into commercially available  circuit design tools that can autonomously synthetise circuits and systems architectures. The aim is to drastically reduce the design time and optimise the transfer of known topologies into new CMOS technologies.  

The post-holder will have the ability to engage with world-leading experts across AI and electronics both at Edinburgh and in other UK higher education (HE) institutions but also industrial partners to ensure relevance of their Research in addressing state-of-art challenges in electronics. 

The successful candidate will have experience of project development and project leadership in a research context, together with excellent communication, presentation, and organisational skills. They will enjoy working in a dynamic environment and be able to work on their own initiative as well as being an active team member. The role will report to the APRIL Hub Director (Principal Investigator), with on-going engagement with other researchers in the Hub as well as academic leads. 

This position is affiliated with the UKRI APRIL AI Hub that aspires to develop AI tools to accelerate innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI Hubs, this is a highly visible programme both nationally and internationally. 

The post-holder will work closely with a team of talented researchers and the APRIL operations team to lead the development of novel AI capabilities, tools and methodologies that can enhance the productivity of engineers in designing, developing and testing advanced electronic devices and systems. More specifically, the post-holder should have experience in developing and introducing AI tools in electronics testing and verification for predicting what to test and when. The research spans from improving scenario coverage in certification tests across devices/systems to automatically deciphering underlying physical mechanism is emerging beyond-CMOS devices.

The post-holder will have the ability to engage with world-leading experts across AI and electronics both at Edinburgh and in other UK higher education (HE) institutions but also industrial partners to ensure relevance of their Research in addressing state-of-art challenges in electronics. 

The successful candidate will have experience of project development and project leadership in a research context, together with excellent communication, presentation, and organisational skills. They will enjoy working in a dynamic environment and be able to work on their own initiative as well as being an active team member. The role will report to the APRIL Hub Director (Principal Investigator), with on-going engagement with other researchers in the Hub as well as academic leads. 

A postdoctoral position is immediately available for a three-year post to work on the MRC-funded programme grant “The role of E3 ubiquitin ligases in cancer pathogenesis and treatment with Ionising Radiation (IR)” in the laboratory of Professor Vincenzo D’Angiolella. This is an exciting programme of research aimed at unravelling the role of E3 ubiquitin ligases. These proteins have received particular attention given the development of novel drugs (PROTACs and Molecular glues) that exploits their enzymatic activity. The novelty and applicability of the programme offers significant opportunities for career progression and development of independent research ideas. 

The international XLZD consortium is developing a next-generation rare event observatory based on the world-leading liquid xenon technology. The experiment will search for electro-weak-scale particle dark matter and enable world-class sensitivity to other rare physics processes such as neutrinoless double-beta decay and astrophysical neutrino interactions. Building on expertise from the world-leading LZ detector, our group has strategic leadership in the Outer Detector for the UK XLZD project, which aims to bring the experiment to the UK’s Boulby Underground Laboratory. This position is a combination of essential simulation and design studies with hardware and prototyping work, and you will join a growing and vibrant dark matter group consisting of two academics, three PDRAs and four PhD students. 

The School of Physics and Astronomy at the University of Edinburgh is committed to encouraging equality and diversity among our workforce, and eliminating discrimination. The School strives to create a more diverse, equitable and inclusive workplace for all and we are looking to actively diversify our staff. We welcome applications from all qualified candidates and in particular encourage applications from people of colour, women, people with disabilities, LGBTQ+ people and other minority and under-represented groups. We aim to ensure that our culture and systems support flexible and family-friendly working, as evidenced by our Juno Champion and Athena SWAN Silver awards.

During the three-year position, the PDRF will be expected to conduct 15 months of original ethnographic fieldwork in a geographic location of their choosing that complements the PI’s concurrent research in the US (San Francisco) and UK (Edinburgh). The research must contribute to the overarching goals of the comparative project, resulting in peer-reviewed journal articles and book(s), as well as workshops in the three project locations. Research expenses will be fully funded.

Informal enquiries may be directed to Andrea Ford, Wellcome Trust Research Fellow in Humanities and Social Sciences, andrea.ford@ed.ac.uk.

A post-doctoral fellow on AI, NLP and financial computing will be recruited for 24 months for assisting with the execution of the project. The candidate will undertake original research in AI-driven Financial Computing, within the School of Informatics in collaboration with School of Mathematics and the Centre for Investment Innovation.

The project RA improves a deeper understanding of potential risks/uncertainties to which firm-based – risk factors are measured, hence unlocking the potential for significant improvements in the fields of finance investment management, and decision-making.  The project will also aim to provide suitable benchmarking methods to evaluate our proposed AI/NLP/LLM models against commonly used and state-of-the-art AI models as well as evaluation metrics.