20 Postdoctoral Fellowship at University of Manchester, England

​​​​​​​​​​​​​​Applications are invited for an outstanding Postdoctoral Research Associate to work on a Natural Environment Research Council (NERC) funded project on “Debris-flow dynamics: Understanding phase separation and wave formation”. The post is part of an international team of researchers studying the spontaneous formation of waves in debris flows. Waves vastly concentrate the energy within a debris flow, and strongly enhance their destructive potential, yet very little is known about how they form and coarsen. The project is led by Professor Nico Gray and Dr Chris Johnson at The University of Manchester and involves collaboration with scientists in Switzerland who collect field data from the Ill graben debris-flow observation station. This interdisciplinary project will use a combination of small-scale experiments, field data, mathematical theory and numerical computations to understand how debris-flow waves form. The successful applicant will have a strong background in mathematics, physics, engineering or quantitative Earth sciences, and preferably some experience in performing experiments and/or analysing field data. She/he must have a PhD in a relevant discipline e.g. physics/geophysics or applied mathematics/mechanics, and a proven ability to publish research findings.

We are seeking an individual with a strong background in computational and/or membrane protein structural biology.  You should have a PhD (or be close to completion) in Biological Sciences or Computational Sciences (with a focus on Biology), Biophysics, Biochemistry or a closely allied discipline and have previous experience in molecular dynamics simulations. Experience in membrane protein expression and purification would be desirable, but not essential to this project. The full-time position is available from 01 September 2023 for a fix-term for 12 months, with a possibility of extension upon satisfactory progress

Applications are invited for a postdoctoral research associate to study physiological adaptive radiotherapy as part of the CRUK RadNet Allied Health Professionals Doctoral Academy, in the team of Dr. Cynthia Eccles, based at the Manchester Cancer Research Centre and The Christie NHS Foundation Trust. The successful candidate will introduce optimised functional MR imaging to measure tumour and normal tissue response focusing on tumour hypoxia and inflammation in the surrounding normal tissues. Imaging biomarkers will be correlated to tissue and/or blood biomarkers from normal tissue and tumours. The project will involve close collaboration with the Translational Radiobiology team of the Radiotherapy Related Research group, and medical physics at The Christie.

The CRADLE Prosperity Partnership is a significant joint activity between Jacobs Engineering [https://www.jacobs.com], the Manchester Centre for Robotics and AI [https://www.robotics.manchester.ac.uk], and the UKRI [https://www.ukri.org]. The successful candidate will assist in shaping and conducting a research programme around software architectures, software engineering and software verification, with a particular focus on autonomous systems, robots and practical problems. The successful candidate will also be expected to collaborate with, and develop new directions for, research with Jacobs Engineering. The candidate should have a background of excellent research across one or more of: Autonomous Systems; Robotic Software Architectures; Agent-Based Systems; Software Design Patterns; Resilience; Software Verification; and Transparency.  In addition to working within CRADLE, the candidate will contribute to the Autonomy and Verification network[ https://autonomy-and-verification.github.io/publications ]

The CRADLE Prosperity Partnership is a significant joint activity between Jacobs Engineering [https://www.jacobs.com], the Manchester Centre for Robotics and AI [https://www.robotics.manchester.ac.uk], and the UKRI [https://www.ukri.org]. The successful candidate will assist in shaping and conducting a research programme around software architectures, software engineering and software verification, with a particular focus on autonomous systems, robots and practical problems. The successful candidate will also be expected to collaborate with, and develop new directions for, research with Jacobs Engineering. The candidate should have a background of excellent research across one or more of: Autonomous Systems; Robotic Software Architectures; Agent-Based Systems; Software Design Patterns; Resilience; Software Verification; and Transparency.  In addition to working within CRADLE, the candidate will contribute to the Autonomy and Verification network[ https://autonomy-and-verification.github.io/publications ]

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.

We are seeking to recruit a Research Associate (RA) to work under the supervision of Dr. Dongda Zhang at the Department of Chemical Engineering, The University of Manchester. This project aims to develop state-of-the-art digital technologies for the UK Anaerobic Digestion (AD) industry to effectively improve process performance and achieve the ambitious net-zero target. The project combines the use of advanced techniques from machine learning, data-driven modelling, and process system engineering. This project is in collaboration with multidisciplinary research teams at the University of Surrey, the University of Southampton and the University of Nottingham. The main purpose of the role is to develop AI-enabled digital twin for AD process real-time predictive modelling and optimisation. Candidates should already hold or be nearing completion of a PhD in chemical/biochemical engineering or process systems engineering, with focus on dynamic modelling/optimisation or machine learning/data-driven modelling. The candidate is expected to present results periodically to the other group members, and project partners, attend progress meetings and actively engage with other team’s members. Previous experiences on bioprocess dynamic modelling, chemical/biochemical reaction kinetic modelling, multi-objective optimisation, data-driven and hybrid modelling are desirable and particularly welcome.

The key purpose of this post is to deliver the health economic components for a programme of work funded by the National Institute for Health and Care Research (NIHR) called R4-RA-Econ which focusses on the economics of interventions for rheumatoid arthritis. Informed by a systematic review of relevant published models, we will construct a new economic model that will form the basis for understanding the costs, health consequences and barriers to using a new test to determine which people with rheumatoid arthritis will respond to rituximab. The new test is a tissue biopsy with RNA molecular profiling. The successful candidate is expected to work with a large research team including health economists, clinicians, biostatisticians, epidemiologists, implementation scientists, service users and commissioners. 

The particle physics group at the University of Manchester has a vacancy for a PostDoctoral Research Associate (PDRA) in Experimental Particle Physics who can lead the installation and commissioning of the Mu2e Stopping Target Monitor (STM), particularly its data acquisition (DAQ) system and who can lead the analysis of the first data from the Mu2e experiment that will extend the search for charged lepton flavour violating (CLFV) interactions ultimately by a factor of 104. The Manchester muon group consists of four academic members of staff, engineering and technical staff and PhD/MSc students. The post is funded by an STFC consolidated grant. The appointment will be from 1st October 2023 (or as soon as possible thereafter) for a period of 2 years with a possible extension should funding be available. The post will require travel to Fermilab and subject to mutual agreement may involve long term secondments at Fermilab.

The University welcomes applications for applied electronics research engineers within the School of Engineering. The post has become available due to recent extension of the precision agriculture activities in the Department of Electrical & Electronic Engineering over three interrelated topic areas covering intelligent sensor systems research for delivering next generation crops and arable farming technologies. More than one appointment may be possible.

A Postdoctoral Research Associate position is available to work on a project studying how signalling filopodia collect and transduce the BMP signal in Drosophila ovarian germline stem cells. This project will build on our recent progress in this area (Wilcockson and Ashe, Dev Cell 2019) by using cutting-edge live imaging to explore the behaviour and functionality of these signalling filopodia.

This position will support a £5m programme funded through the Alliance exploring how the adaptive immune system can be exploited for cancer early detection. Samples taken for this programme will undergo whole genome sequencing with the goal of understanding how genetic changes in cancer a triggering an immune response. The applicant will work closely with Professors Robert Bristow and David Wedge, and Dr Emma Woodward and be responsible for conducting the bioinformatic analysis of whole genomes and transcriptomes of early lesions and cancers from individuals with hereditary cancer predisposition arising from deficient DDR. The post will be hosted at the Oglesby Cancer Research Building within the laboratory of Professor Robert Bristow and the successful applicant will interact with Professors Bristow and Wedge, and Dr Woodward.

We are seeking a highly motivated and skilled Research Associate in experimental evolution/genomics to investigate genomic factors influencing antibiotic resistance evolution and evolvability in bacteria. The BBSRC-funded post is 1 FTE fixed term position until 29/06/2026, with a start date as soon as possible (to be negotiated with candidates).  A PhD in Evolutionary Biology, Microbiology (with an evolution focus) or a related field is required. The ideal candidate also has a record of publications, conference presentations, and effective communication. Essential skills include extensive practical experience in microbial experimental evolution and proficiency in general microbiology and molecular biology techniques. Strong experience in experimental design, statistical analysis, and managing large datasets is required. Experience with bioinformatics tools is vital.  Desirable skills include experience in antibiotic or antimicrobial resistance research, Pseudomonas biology, and bacterial genomics. Experience with genome engineering techniques (i.e. CRISPR-Cas) is also advantageous.

This is an excellent opportunity for an individual with experience in the analysis of ‘omics’ datasets (including transcriptomics and epigenomics), to perform cutting-edge, clinically relevant, kidney research. The limited treatment options, increased cardiovascular disease (CVD) risk, and poor outcomes for DKD patients highlights the need to identify novel therapeutic targets, which requires a better understanding of the underlying mechanisms. You will work with Dr Abigail Lay (project supervisor and PI), to identify novel, modifiable mechanistic pathways underlying DKD. The initial focus will be on identifying kidney-specific epigenetic modifications (specifically DNA methylation) which play causal roles in disease. The successful candidate will join a thriving research division and be based in a modern laboratory in the AV Hill Building at the University of Manchester. You will have access to state-of-the-art core facilities, mentoring and career development opportunities.

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Research Associate (Development of a Programme to Reduce Burden and Distress in Parents and Carers of Children with OCD)

Deadline : 14/08/2023

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You will be responsible for the evaluation of energy consumption for industrial data reconciliation and preparation of process scheduling models, quantification of different types of uncertainty and the development of data-driven autonomous techniques for online scheduling. You will collaborate seamless with academics from UCL for such development. You will also work closely with industrial partners to test the new online scheduling framework in a practical context and demonstrate the benefit. You will have, or be about to obtain, a relevant PhD (or equivalent) in process systems engineering, computer science, operations research, industrial engineering, or closely related field together with an excellent track record of international publications. Examples of field interests include advanced planning and scheduling, metaheuristics, machine learning, mathematical modelling, and optimisation. Research experience in machine learning, artificial intelligence, and optimisation are particularly preferred.

We have an exciting opportunity to appoint a talented and ambitious qualitative researcher with a keen interest in digital health and data privacy to work on the Remote Monitoring in Rheumatoid Arthritis (REMORA) research programme. REMORA is an NIHR-funded programme that aims to evaluate and implement remote monitoring technology to enable people with rheumatoid arthritis to daily track their symptoms and share these with their rheumatology team. REMORA is hosted by the Centre for Epidemiology Versus Arthritis (University of Manchester), which delivers a world-leading portfolio of innovative musculoskeletal and digital epidemiology research across Greater Manchester and beyond. ​​​​​​​ The post-holder will play a key role in the development of a governance framework and digital prototype to obtain self-administered e-consent for smartphone-based collection of digital patient-generated health data for use in both clinical care and population health research. You will be required to have experience of designing, conducting and writing up qualitative research and experience of working effectively with a range of stakeholders.