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

We are seeking a dynamic and visionary Group Leader in Virology (at Senior Research Fellow or Professor level) to join our exceptional team of researchers. You will lead an independent programme in virus research to improve understanding of how viruses interact with their hosts, contributing to The Roslin Institute’s mission to achieve sustainable agriculture, control diseases and enhance health.

The Virology division works, in collaboration with members across the institute, nationally and internationally, on viruses of global importance that impact the health of farmed animals and humans. We focus on one health research with the goal of advancing scientific knowledge and innovation, improving animal health and welfare, enhancing food security and addressing global challenges related to viral disease. Our interests broadly include host-virus interactions at scales from cells to target animals, viral evolution, epidemiology and transmission (including predicting zoonotic risk and virulence), the basis of viral tropism and pathogenesis, and the genetic and immunological basis of host resistance to viruses. We are looking for candidates who can strengthen our research in these areas and complement current expertise with new technologies and approaches that can be applied to the strategic goals of the Institute.

We seek a 2-year (24 month) postdoctoral research associate (PDRA) to work on the UK NERC-funded large grant “HUrricane Risk Amplification and Changing North Atlantic Natural disasters (Huracán)”. The project determines what factors influence the development, strength and paths of cyclones of tropical origin.  The PDRA in Edinburgh will use observations and climate model simulations to determine how climate change is influencing cyclone risk of tropical origin in Western Europe and contribute to storyline based risk assessments. A combination of attribution methods and machine-learning based causal network methods will be used to determine the key drivers of changing risk.  The PDRA will work closely with the project team across the UK and US.

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 have one Postdoctoral research opportunity working within the laboratory of Professor Javier F. Caceres at the MRC Human Genetics Unit in Edinburgh, funded by the Medical Research Council.

We are seeking to recruit a Postdoctoral Research Fellow for the project titled “Early Warning Signal Detection for Corporate Risk Using Machine Learning within a Merton Framework,” sponsored by Abrdn. The selected candidate will be stationed at the University of Edinburgh Business School and collaborate closely with the project leaders. The candidate will develop a new model that merges the Merton approach to measure corporate risk with machine learning techniques, such as complex neural network infrastructure. Responsibilities include data analysis, developing models, and contributing to the dissemination and publication of research findings. The role also involves working in tandem with Nick Kordowski’s team in the Fixed Income division at Abrdn. This position presents an excellent opportunity for the candidate to contribute to high-impact research and publish in top ranking academic journals.

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 seek a Postdoctoral Research Associate to work on the new UKRI Hub for Metabolic Psychiatry (PI Professor Daniel Smith). The Hub for Metabolic Psychiatry is led by the University of Edinburgh and is part of a wider UKRI Mental Health Platform comprising five Hubs from across the UK. Our Hub is focused on the interface between metabolism and severe mental illness.

The successful applicant will be the main researcher for Workstream Three (‘Metabolic Biomarkers of Mental Illness’). They will conduct a detailed prospective study of patients with mental illness to assess how changes in metabolic tests and changes in sleep relate to clinical outcomes. They will assist in the recruitment and assessment of patient volunteers with bipolar disorder, schizophrenia and depression, as well as healthy controls. This will include the collection of data on mental health symptoms, sleep and metabolic tests. They will also be involved in the analysis of data, drafting publications and taking part in knowledge exchange and dissemination activities. This post is available for five years duration.

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 wish to appoint a Postdoctoral Research Fellow to engage in research on Access to Finance for Small Businesses and Climate Change for 9 months. This project is part of the ESRC project “Understanding how constraints on access to finance and under-investment impact on productivity growth in smaller firms”. The candidate will work closely with academics from eight UK universities (University of Edinburgh, Oxford Brooks, Warwick, St Andrews, Bath, Leeds, Birmingham and Sussex). The candidate will develop innovative statistical techniques to analyse data on access to finance for small businesses and capturing the effects of climate change on credit risk for small businesses. The candidate will collaborate with several institutions, such as the Bank of England and the European Commission, on Sustainable Analytics, for example the effects of climate change and extreme weather events on credit risk.
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.  

The School of Informatics, University of Edinburgh invites applications for a postdoctoral research associate (PDRA) to develop novel methodologies for analysis of large-scale neural recordings over learning. The project is funded by a BBSRC International Partnering Award and involves close collaboration between the host lab of Dr Angus Chadwick (University of Edinburgh) and the labs of Prof N Alex Cayco-Gajic (École Normalé Supérieure) and Prof Matthew Perich (Université de Montréal). 

This post is full-time (35 hours per week) and fixed term for 12 months (with a possible extension by another 12 months)

The School of Informatics at the University of Edinburgh invites applications for a post-doctoral Research Associate position in machine learning and physical simulation to work on a project that aims to enable Language Models (such as ChatGPT) to reason about physical systems.

Current generative models for language are unable to reason about physical systems. For example, imagine querying a Large Language Model (LLM) about the expected behaviour of balls on a billiards table. Even if the system is fully specified (positions and colours of balls on the table, their physical parameters, etc.), current models cannot answer questions such as “Can the pink ball be pocketed by the white ball without hitting the red ball?”. To elicit the correct answer along with reasoning from an LLM for this deceptively simple prompt involves tedious engineering of the context. This project aims to develop an automatic method to enable inference of physical parameters and wider reasoning about physical systems. 

The goal of this project is to develop new approaches for visual reasoning that are grounded in learned general-purpose 3D aware representations. This will involve advancing our understanding of the state-of-the-art in 3D aware representation learning and developing new methods for introducing 3D priors into visual representation learning algorithms. 

There is a large body of existing work that attempts to learn 3D informed representations by using explicit 3D supervision during training, e.g., from depth, point clouds, or meshes. However, it is not feasible to collect this type of 3D supervision at scale. As a result, it is desirable to be able to train 3D aware models from image supervision alone. Existing work, on specific tasks, has shown that shape related information can aid semantic tasks. However, it remains unexplored how effective shape information can be for more challenging visual tasks such as few-shot learning, fine-grained image analysis, concept discovery, domain adaptation, and robust representation learning. The resulting methodology developed as part of this project will be applicable to a diverse range of applications including automated perception, robotics, and content generation. The learned representations will enable enhanced visual reasoning about properties such as occlusions, spatial relationships, and offer the potential to serve as a building block to enhance other complex tasks (e.g., in vision-language reasoning).

The postdoctoral researcher will be supervised by Dr. Oisin Mac Aodha, Dr. Hakan Bilen, and Dr. Changjian Li and will join the Computer Vision group in the School of Informatics (https://groups.inf.ed.ac.uk/vision ). They will also be a member of the Edinburgh Laboratory for Integrated Artificial Intelligence  (https://web.inf.ed.ac.uk/eliai) run by Prof. Mirella Lapata and Prof. Chris Williams. There are many collaborative opportunities, both within the Vision group as well as across the School of Informatics (which includes faculty working on machine learning, computer vision, natural language processing, speech processing, and social computing).

We are looking for a highly motivated postdoc to join the Swaffer lab and lead a major research project within the lab’s overall focus on understanding how cell size impacts core cellular processes (see swafferlab.co.uk and Swaffer et al., Cell 2023 for details).

Biologic drugs are a rapidly expanding area of the pharma industry and the market is expected to reach over $620B in the next 10 years so there is huge future potential for scientists skilled in this area.CHO cells are the most widely used industrial system for producing recombinant therapeutic proteins, but can struggle to express some protein-based therapeutics at high quality and sustained high levels. We will address these issues with a systematic programme of engineering biology and genome engineering that combines innovative approaches to concomitantly increase CHO cells’ capacities to express and secrete important industrially relevant biologics. The research will take full advantage of state of the art facilities including the Edinburgh Genome Foundry (https://www.ed.ac.uk/biology/research/facilities/edinburgh-genome-foundry). There will be multiple opportunities to interact with leading academics and our industrial partners Fujifilm Diosynth Biotechnologies.

The post works with the Chair of Synthetic Biology and Lead Applicant Prof Susan Rosser and is responsible for the planning, coordination, implementation, execution, and project managing of the project goals. 

This project is part of an £8.7M EPSRC Prosperity Partnership between Fujifilm Diosynth Biotechnologies UK and the Universities of Edinburgh, Manchester and York (https://www.ed.ac.uk/biology/news-events/news-2021/8-7m-collaboration-modern-medicines). There will be multiple opportunities for the post holder to interact with leading academics and industrial partners.

We are looking for a driven and enthusiastic Research Fellow to help deliver a cutting-edge research programme within the newly-established Edinburgh Molecular Mechanisms Cluster.

We are looking for a driven and enthusiastic Research Fellow to help deliver a cutting-edge research programme within the newly-established Edinburgh Molecular Mechanisms Cluster.

 

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Postdoctoral Computational Biologist

Deadline : 02/10/2024

View details & Apply

 

The School of Informatics at the University of Edinburgh is inviting applications for a Research Associate in Machine Learning and Artificial Intelligence with a particular focus on method development for Edge Devices, Scenarios and Environments. The successful candidate will be directly working with Amos Storkey (Principle Investigator) in the School of Informatics, and Elliot Crowley (co investigator) in the School of Engineering. The post will be based in Informatics.

A PDRA position is available starting ca. 01 July 2024 (or as soon as possible thereafter) for 12 months initially but the position is available for up 3 years. The PDRA will be supervised by Prof. Stephen Thomas (ST) and is based in the School of Chemistry at the University of Edinburgh. This position is funded by the EPSRC through a programme grant awarded to a team led by Prof. Guy Lloyd-Jones FRS “Boron: Beyond the Reagent”. 

The main group offers a sustainable future for catalysis. This grant will build the understanding needed to exploit and apply these new modes of catalysis. This project will study the fundamental and applied chemistry of group 13 and group 14 compounds for catalysis.

This project requires a highly motivated candidate with expertise in catalysis and synthesis and /or main group synthesis and a range of key characterisation techniques. The candidate should be capable of working under their own initiative and leading a small research team. The successful applicant will be based in the Thomas Group labs and join a diverse team of 10 people who are all focused on different aspects of sustainable catalysis and organoboron chemistry.

The post is for a post-doctoral researcher in the field of physics of complex fluids at the School of Physics and Astronomy of the University of Edinburgh. The successful applicant will use analytical and numerical techniques to study the phenomenon of elastic turbulence – chaotic motion exhibited by flows of polymer solutions at negligible inertia. The position is for 3 years; the successful applicant will be supervised by Prof. Alexander Morozov.

The School of Engineering seeks to appoint a Research Associate in Design of Low Grade Heat-Powered Data Centre Cooling. This Research Associate position will contribute to the EPSRC IAA PV127 Cooling Data Centres with Self-Emitted Ultralow Temperature Waste Heat within the Institute for Materials and Processes.

We are looking to hire a highly motivated Research Fellow in Food Systems Thinking (Analytical Support), with excellent analytical, organisational and interpersonal skills, to work on our new Wellcome Trust Living Good Food Nation Lab project (https://wellcome.org/grant-funding/people-and-projects/grants-awarded/building-health-centred-net-zero-aligned-food).

 

This project is closely linked to exciting new Scottish legislation, the Good Food Nation (Scotland) Act, and aims to support its ongoing implementation. Led by University of Edinburgh Business School, our transdisciplinary team brings together academic, governmental, public sector and 3^rd sector partners with expertise in nutrition and public health, environmental modelling, public food procurement, food policy and governance, anthropology, and sociology, of food, food and procurement law, social policy, behavioural change, and food systems transformation. 

Conduct original research on the neuronal activity in the mouse visual cortex, using in vivo electrophysiological recordings and virtual reality. Combine electrophysiological recordings with optogenetic stimulations. Produce material for publication and dissemination.

The Edinburgh Law School is seeking a Research Fellow in Criminology to work with Professor Susan McVie on the ESRC-funded Scottish Centre for Administrative Data Research (SCADR). The post-holder will design and deliver policy-focused research projects using linked administrative datasets. The research will cover a range of criminological topics, including development of a new set of projects on the public health implications of policing and imprisonment. The post-holder will be involved in drafting research articles for publication and policy briefings for non-academic audiences, as well as participating in policy and public engagement activities, training courses, and other events.

This project focuses on experimental measurements that help address unresolved questions related to the fluid dynamics at liquid/gas interfaces (LGI) associated with primary breakup. We will image LGIs using pulse-burst Ballistic Imaging as well as Two-Photon Laser Induced Fluorescence. Those methods will be combined with wavelet-based Optical Flow (wOF) to resolve velocity and acceleration of liquid fluid at the LGI as the liquid core breaks into primary drops. These advanced methods will be combined with traditional in-nozzle imaging (e.g., shadowgraphy, Schlieren). These methods will be applied to a variety of sprays emitted from enlarged transparent, as well as real sized nozzles (100’s of microns). Primary break up will be studied for a wide range of Reynolds, Weber and Cavitation number, and serve as relevance to a variety of spray applications (e.g., agricultural, medical, or combustion). 

We are hiring a PDRA with experience with laser diagnostics in sprays. Candidates with experience using optical flow (or similar), combined with experimental fluid mechanics will also be considered. Candidates without experience with laser diagnostics will not be considered. Strong candidates will exhibit the ability to learn new diagnostics and image processing methods (e.g., wOF) and apply them to optically dense sprays. Candidates must have their PhD in Engineering or other relevant fields.

This post will contribute to the joint research goals of the “Understanding the Person in Context” (WP4) and “Integrated Technologies of Care” (WP6) Work Packages within the Advanced Care Research Centre (ACRC) at the University of Edinburgh. The post-holder will work across the School of Informatics and the Advanced Care Research Centre, with a base in both spaces. 

The ACRC programme led by the University of Edinburgh has been established to research and develop innovative solutions for the care of people in later life that can promote and maintain healthy ageing. Central to the ACRC interdisciplinary approach is a commitment to working in partnership with people in later life, their families and communities, and to creating a sustainable UK-wide collaboration to ensure excellence and impact.

We have a Research Fellow position available in the group of Grzegorz Kudla at the MRC Human Genetics Unit (MRC HGU), University of Edinburgh, to study the genetics of Parkinson’s disease. 

The post-holder will perform deep mutational scanning of genes associated with Parkinson’s disease. Deep mutational scanning is an experimental approach where you construct a library of mutated genes, transfect the library into an appropriate human cell line, and analyse the effects of mutations by high-throughput sequencing of barcodes.

You will use methods available in the lab (gene synthesis, saturation mutagenesis, high-throughput phenotypic screens, functional genomics) or develop your own methods to understand how mutations influence molecular function and disease phenotypes. You will collaborate closely with experimental and computational biologists at the MRC HGU (University of Edinburgh) and MRC PPU (University of Dundee) to generate your data and use it to train predictive models of Parkinson’s disease.

We are looking for a Post-Doctoral Research Assistant to lead a project on the valorisation of polyester-derived CO₂ through self-feeding microbial co-cultures. The project will be based in the lab of Dr Joanna Sadler in the Institute of Quantitative Biology, Biochemistry and Biotechnology (IQB3) and co-supervised by Prof. Alistair McCormick in the Institute of Molecular and Plant Sciences (IMPS) in the School of Biological Sciences.

This post is advertised as full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns. 

We are looking for an independent and motivated PhD level graduate in the social sciences to study the use of synthetic biology in environmental applications, exploring the social, ethical, and environmental dimensions of Engineering Biology to inform decision-making and promote the integration of research advances within the broader context of environmental biotechnology.

 

This post is advertised as part-time (0.5fte, 17.5 hours per week) and we are open to considering 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 enthusiastic, organised and motivated post-doctoral scientist with experience in image processing and analysis that could support our expanding PET research programme. 

You will have the opportunity to join the “PET is Wonderful” team working at the University of Edinburgh to develop new PET imaging biomarkers. We have a vibrant and rapidly expanding programme of PET research with over 25 different radiotracers in our current portfolio. You will have the opportunity to work on academic and industry-sponsored projects across the medical research pipeline from organic chemistry (bench) to clinical imaging (bedside). The University of Edinburgh houses three preclinical PET systems and three clinical PET systems coupled with CT or MRI. Our radiochemistry facility has also recently been upgraded and expanded to house eleven hot cells (3 dedicated to R&D use and 8 for GMP productions) and a cyclotron. Further details on the job being offered can be found below.   

We are looking for a Post-Doctoral Research Associate on Statistical Learning & Financial AI for assisting with the execution of the co-pilot projects funded by abrdn via the University of Edinburgh, Centre of Investing Innovation

The project will involve using cell biology and biochemical and structural approaches to 1) understand how the isotype-composition and properties of microtubule tracks control motor-cargo complexes and cellular architecture to modulate cell function and properties 2) discover the mechanism underlying pathogenic tubulin mutations.

We are now looking for an enthusiastic and talented researcher to join our team investigating the molecular diversity and function of tubulin isotypes and the mechanisms that underlie tubulin-isotype-specific diseases. You will play a major role in the design and conduct of the research project and be trained in the relevant techniques. You should have, or will shortly obtain, a PhD in a relevant subject area and will have experience in structural biology and biochemistry or/and advanced imaging and image analysis. Training can also be offered. An outstanding academic track record is essential and at least one first author publication in a prominent journal is expected.

The Roslin Institute of the University of Edinburgh is offering a postdoctoral position in the group of Prof Mike McGrew, one of the leading labs in genome editing technologies in bird species. This position is funded as part of an institution collaboration with a world leading poultry genetics company and the BBSRC. The project is to develop multiplex genome editing technology of chicken stem cells for the production of genome edited chicken. This project will advance the frontiers of genome editing in avian species by developing protocols to create multiple genetic changes in the genome of chicken.

The post-holder will be involved in the design of CRISPR/Cas9 experiments and reagents through to the analysis of genome edited chicken. Applicants should have PhD in Biological Science or related subject. The ideal candidate will be a self-motivated and proactive individual with strong skills in either in genome editing of mammalian stem cells, chicken stem cells and use of DNA editing reagents. Expertise in micromanipulation of chicken embryos would also be useful. In addition, bioinformatics skills that could be applied to the analysis post editing cell/animal genome integrity using DNAseq data would be useful but training could be provided. 

The applicant will complete high quality original research and will disseminate the data in refereed papers, presentations and conference abstracts. Excellent communication and interpersonal skills and the ability to work as part of a team as well as semi-independently are important, as the successful applicant will need to communicate their findings to stakeholders and industrial partners. 

You will contribute to the development of the Behavioural Research-UK Leadership Hub’s vibrant programme of public engagement, stakeholder involvement, high-quality research and evidence-informed policymaking by coordinating projects, conducting rapid systematic reviews of literature, conducting mixed methods research and, crucially, organising knowledge exchange and public engagement. 

This post is fixed term from a start date as soon as possible until 31 October 2028.

This post is advertised as full-time (35 hours per week), however, we are open to considering 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.