25 Postdoctoral Fellowship at University of Manchester, England

This position is part of a much larger endeavour that overall involves 10 PDRAs, 9 PhD students, 9 academic groups, and 5 industrial groups. It is funded by an EPSRC Programme Grant titled “Boron: Beyond the Reagent”, that was awarded to Professors Guy Lloyd-Jones FRS (PI) and Allan Watson (co-PI), in collaboration with Professors Michael Ingleson, Stephen Thomas, and Neil McKeown at University of Edinburgh; Professors Andrew Smith, Eli Zysman-Colman, and Russell Morris FRS at the University of St Andrews.

Applications are invited for a Research Associate/Fellow position in the Department of Electrical and Electronic Engineering at the University of Manchester. The purpose of the job is to develop high-speed imaging systems for the next generation of atmospheric monitoring systems. This is a 2.5-year fixed term position, with possible extension subject to funding. We are looking for a digital system designer, capable of developing bespoke high-speed interfacing and signal processing systems, using high-end FPGA devices and custom silicon circuits. Experience in high-level system modelling as well as solid knowledge of RTL is required. Experience in mixed-signal design and backend VLSI chip implementation would be advantageous. The post is suitable for candidates with a PhD in Electronics, or a related discipline. Candidates with equivalent industrial experience are welcome to apply. Candidates with significant experience will be considered for appointment at a Research Fellow grade. Please use the link below for full job description and further particulars

A Postdoctoral Research Associate Position (PDRA) is available from 1st May 2023 for 24 months to carry out research for a fully jointly funded cyber-security for UK future sustainable energy network by Scottish Power Energy Network (SPEN) and National Grid (NG). The aims of Cyber-SAFEN project is to investigate suitable methods of essential cyber safe and resilient functions and develop an integrated cyber Intrusion Response Defence System (IRDS) for UK electricity networks Protection Automation Control (PAC) systems, Wide Area Monitoring (WAM) PAC systems and SCADA systems against advanced cyber-attacks, and to accelerate the UK confidently moving to low carbon economy.

Applications are invited for a Research Associate/Fellow position in the Department of Electrical and Electronic Engineering at the University of Manchester. The purpose of the job is to develop high-speed imaging devices for the next generation of atmospheric monitoring systems. This is a 2.5-year fixed term position, with possible extension subject to funding. We are looking for an analog or mixed-signal chip designer, with excellent knowledge of relevant EDA tools and proven IC tape-out experience. Knowledge of CMOS image sensors, SPAD technology and/or high-speed interfaces would be advantageous. The post is suitable for candidates with a PhD in Electronics, or a related discipline. Candidates with equivalent industrial experience are welcome to apply. Candidates with significant experience will be considered for appointment at Research Fellow grade. Please use the link below for full job description and further particulars.

The role holder is expected to prepare and fully characterise a series of organometallic complexes to a standard suitable for publication and to supervise other researchers in the laboratory. Candidates should have or expect to obtain a PhD qualification in organometallic chemistry or a closely related field and possess experience of handling highly air sensitive compounds with an excellent knowledge of Schlenk line and glove box techniques. Experience of synthetic organometallic chemistry including the synthesis of paramagnetic complexes is essential, whilst expertise in d-block chemistry, cyclopentadienyl chemistry, characterisation of paramagnetic complexes, and performing calculations, are all highly desirable. The successful candidate will be a highly capable, motivated and independent researcher who is able to manage a group of PhD and project students working on a variety of synthetic organometallic projects. You will be part of a larger research team working in synthesis, measurement and calculations to determine the electronic structures of predominantly paramagnetic complexes. You will be expected to take a leading role in the research group including laboratory management, organising group meetings and presenting findings at international conferences.

We are recruiting an ambitious, self-motivated and experimentally talented Research Associate to join us in understanding the mechanisms underlying the response to injury and neuronal regeneration in Xenopus, a species able to regenerate its spinal cord after injury.

The specific aims of the project are to identify regeneration-specific mechanisms, generate scRNAseq datasets and use this knowledge to simulate neurogenesis.

The post is funded by UK Medical Research Council and is available fixed term until 31st January 2027. Candidates must hold a PhD or expect to shortly, in a Biological discipline. 

The Particle Physics group at The University of Manchester is looking to appoint two Research Associates to work on the ATLAS experiment at the CERN LHC. The Manchester ATLAS group consists of seven academic members of staff, 11 research staff and 17 PhD students.  The group has a strong involvement in many areas of ATLAS physics analysis, including studies of Higgs boson interactions, measurements of high-energy electroweak processes (VBS/VBF, multiboson production), top quark physics, and searches for new phenomena (dark matter, violation of lepton universality). The group is also heavily involved in ATLAS detector operations and performance, with long-standing contributions to ATLAS trigger and data acquisition, combined performance (jet/b-jet/tau reconstruction), and the Phase-II detector and trigger upgrades.

We have an exciting opportunity to appoint a Research Associate to develop their career whilst conducting important digital health research. You will join the Digital Health and Social Care Research Group, based at the University of Manchester. Building on extensive research capacity and capability in digital health, we seek a researcher interested in developing work in mobile health applications and co-designing these types of technologies with patients and service users.

The multidisciplinary MEaSURE project, funded by NERC, seeks to maximise ecosystem services and minimise disservices provided by urban green infrastructure (GI) by applying principles derived from studies in the natural environment. Specifically, we are testing how patch size, connectivity within urban environments and along urban-rural transitions, and other GI attributes, interact with above and below ground biodiversity to regulate ecosystem services and disservices. We are also testing how the functional diversity of soil and plant communities affects ecosystem services and disservices in GI. Resulting data will be synthesised into a web-based tool to predict and optimise ecosystem service provision under urban planning scenarios, thus ensuring successful implementation and performance of urban GI. Our findings will help to develop enabling mechanisms linked to urban land use and GI planning focused on enhancing the contribution made by local scale GI interventions to wider landscape scale processes and the resilience of urban ecosystems. This appointment is focused on supporting research linked to the last of these topic – the development of enabling mechanisms linked to urban land use and GI planning.

We are seeking to appoint a Research Associate  at the University of Manchester from the Wellcome Discovery Award ‘Developing Humanitarian Medicine: From Alma Ata to Bio-Tech, a History of Norms, Knowledge Production and Care, 1978-2020’ (226515/Z/22/Z) directed by Professor Bertrand Taithe at the Humanitarian and Conflict Response Institute (HCRI). This project on the history of humanitarian medicine as a set of emergency interventions, seeks to generate significant shifts in understanding its scientific and organisational specificity and role in developing clinical norms, debating ‘rights-based’ approach to health access and leading campaigns for access to drugs while deploying bespoke biotechnological tools.

This is an exciting opportunity for a research associate with a keen interest and track record in the analysis of real-world imaging and clinical data. You will analyse complex clinical datasets (including electronic patient-reported outcomes [ePROMs]) and develop advanced modelling techniques to evidence the clinical impact of changes in oncology treatment on patient outcomes. This post will bridge expertise from both The University of Manchester and The Christie Hospital NHS Foundation Trust. Through this close association, you will have access to patient treatment and outcome data from all patients treated at The Christie, providing enormous potential to directly analyse and inform on the outcome of changes in routine treatments and in the introduction of ePROMs.

Applications for a Research Associate are welcome, for an outstanding and ambitious materials physicist or Chemical Engineer to undertake research in the field of 2D materials-based membranes. The post is tenable from 1 July 2023 for up to 18 months. You will join a vibrant team of researchers who have been at the forefront of graphene research since its discovery in 2004. Using our state-of-the-art laboratory, measurement, and microfabrication facilities you will drive forward a new project to investigate mass transport and separation properties of 2D materials-based membranes and capillaries. 

We wish to appoint a Research Fellow with expertise in economics or health economics to join the Health Organisation, Policy and Eonomics research group, based at the University of Manchester. The postholder will use econometric methods and large survey and administrative datasets to further our understanding of the links between welfare benefits and mental health. The successful candidate will work on an NIHR funded study looking at the mental health effects of Universal Credit (https://fundingawards.nihr.ac.uk/award/NIHR131709​​​​​​​). This study aims to understand the impact of the introduction of Universal Credit on mental health and wellbeing, the implications for health inequalities, and how these effects are moderated by variation in implementation across Great Britain.

An enthusiastic and committed postdoctoral research associate is required to join the University of Manchester. You will work closely with a research team working on a project aimed at developing the use of CRISPR/Cas9 genome editing in human primary cells relevant to psoriasis, including skin and immune cells, to characterize biological mechanisms underlying psoriasis, with the ultimate goal of identifying novel therapeutic targets.

The post holder must hold a PhD and excellent knowledge of the genetics of complex traits and will be responsible for carrying out an array of laboratory based genome editing experiments in human primary cells, such as CRISPRa/i, CRISPR KOs and base editing and for collecting and processing human samples.

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Research Associate in Plant Biochemistry and Physiology

Deadline : 09/06/2023

View details & Apply

We are seeking to recruit a Research Associate (PDRA) to work under the supervision of Dr Vincenzo Spallina in the Department of Chemical Engineering at The University of Manchester. This project aims to demonstrate the feasibility of the gas-solid process for steel decarbonisation using CCUS. The project combines experimental testing and validation of the phenomenological model to understand and predict the performance of new reactor concepts, design the experiments and carry out the technology scale-up. 

The University of Manchester is seeking a talented and ambitious bioinformatician for the Respiratory theme of the National Institute of Health Research (NIHR) Manchester Biomedical Research Centre.

The Respiratory theme is based at Wythenshawe Hospital (part of Manchester University NHS Foundation Trust) and nested within the largest clinical respiratory department in the UK (47 NHS Consultants, 13 clinical academics including six professors, two NIHR senior investigators and an NIHR national clinical lead).

The University invites applications for the above post, which is tenable in the first instance for 12 months and extendible for up to a further 24 months subject to satisfactory performance (to a total of 36 months). The post is to start on 01/06/23 or as soon as possible afterwards.​​​​​​​

The post-holder will carry out research to investigate the properties of the silicateins, a family of enzymes that catalyse the formation of silicon-oxygen chemical bonds in marine sponges. This research forms part of a larger programme aimed at understanding the evolutionary origins of these enzymes, and is a collaboration with Dr. Ana Riesgo at the Museum of Natural Sciences, Madrid. More specifically, the candidate will be expected to undertake research related to the biochemical and biophysical characterisation of these enzymes, and elucidating their structure and mechanism. This research builds on work that was previously reported on an enzyme that can catalyse the condensation of silicon-oxygen bonds (Proc. Natl. Acad. Sci. 2017, 114, E5285; J. Mol. Evol. 2015, 80, 278-291.)

We are seeking an individual with a passion for open, transparent, and reproducible research, who has a range of experience across academic disciplines, to act as Research Associate [Grade 6, 0.5 FTE for 8.5 months] at the University of Manchester working on the UK Reproducibility Network (UKRN; www.ukrn.org) Research England Development Fund project “Growing and Embedding Open Research in Institutional Practice and Culture”. 

Applications are invited for the position of Research Associate in Fabrication and Investigation of Van der Waals Heterostructures

Applications are invited for a Research Associate position within the National Graphene Institute and Condensed Matter Physics group in the Department of Physics & Astronomy, The University of Manchester. You will join a vibrant team of researchers who have been at the forefront of research on graphene and 2D materials since their advent. The role will report to Professor Sir Andre Geim

We seek a highly skilled post-doctoral researcher to work on a project about decision-making and psychological biases of safety inspectors in the context of risk regulation.  This is a two-year project funded by the University of Manchester Humanities Faculty Investment Fund. The successful candidate will be based in Alliance Manchester Business School and work with colleagues at The University of Manchester led by Dr Sara Willis, Professor Sharon Clarke and Professor David Holman.  This is a collaborative project with three UK risk regulators and offers an exciting opportunity to conduct multi-method research with these external stakeholders.

The main aim of this project is to work with three UK safety regulators to enhance decision-making within safety inspections. In particular, the research focuses on ways in which psychological biases influence how safety inspectors conduct their work and form decisions. While there is evidence that safety decision-making can be adversely affected by psychological biases, little theoretical or empirical attention has been paid to understanding this in the context of regulation. As part of this project, we will design a training programme, which supports safety inspectors to understand how psychological biases might affect their inspections, and develop strategies to minimise any adverse effects.

A Research Associate for 2 years, with possible extension of another 2 years, is available through UKRI funding underwriting a European Research Council (ERC) Advanced Grant. This position is open to an outstanding and ambitious computational scientist to work in molecular simulation with an eye on considerably speeding up codes written in Fortran.

By its novel architecture the in-house force field FFLUX aims to make a step change in the reliability of modelling of peptides/proteins in aqueous solution. The machine learning method Gaussian Process Regression is used to create knowledgeable quantum atoms that accurately predict energies and multipole moments. FFLUX needs to benefit from fully optimised parallelisation, both OpenMP and MPI, and by porting to GPUs and ultimately Field Programmable Gate Arrays (FPGAs). The post is tenable from 1st September 2023.