21 Postdoctoral Fellowship at University of Nottingham, Nottingham, England

Applications are invited for the above post to work on a three-year Wellcome Trust funded project that is investigating the effects of thermal environment during early pregnancy on mammalian embryo development. The successful candidate will join a collaborative team of scientists, based at the Universities of Nottingham and Leeds in the UK, who are investigating the effects of heat stress in a porcine model of endometrial function and early embryo development up to and including gastrulation in both F1 and F2 generations. Physiological measures of cardiometabolic health and renal function will also be undertaken in adult F1 offspring. However, the position on offer will focus primarily on embryonic stages. 

The successful candidate will lead on two objectives that will assess chromatin modifications and undertake lineage mapping at different stages of F1 and F2 embryo development, up to and including gastrulation, using single-cell ATACseq and single-cell RNAseq. The epigenome of primordial germs cells will also be examined for histone modifications following isolation. 

The project investigates the mechanisms of gastrulation in mammals. The recruited researcher will investigate the interplay between biochemical signals, cell geometry and movement during symmetry breaking and primitive streak (PS) formation during gastrulation. This position will especially suit candidates with interest in understanding the governing principles ruling tissue morphogenesis during embryonic development. The successful candidate will be a modeller who will perform image analysis and develop multi-scale cell-based computational models of tissues during gastrulation in bilaminar disc embryos.

This post offers a unique opportunity to develop skills in state-of-the-art image analysis and modelling technologies, where experimental data of spatial transcriptomics of gastrulating embryos and gastruloids will be generated. The role holder will use image analysis of these experimental systems to segment cell geometric and topological features that will be used to feed the models to generate testable hypotheses.

Applicants must be highly motivated and self-driven, with a PhD in computational biology, biophysics, systems biology or related area of biological science (PhD students about to submit their thesis will be considered). Considerable experience in modelling biological problems is essential. A track record of publishing research is desirable. 

We are looking to fill a post-doctoral researcher position which will develop new deep learning technologies for the analysis of plants different imaging modalities. A key focus will be around aerial and hyperspectral images, where often hundreds of wavelengths of light can be measured for a highly detailed view of fields. We are also interested in the 3D structure of plants captured from above using LIDAR, or in CT. We will work closely with our project partners Rothamsted Research (https://www.rothamsted.ac.uk/) and the Earlham Institute (https://www.earlham.ac.uk/).

The candidate should have (or nearly have completed) a PhD in a computer vision or a deep learning-related subject. The ability to work in an interdisciplinary team will be essential, ideally evidenced by previous work on interdisciplinary projects.  The ability to develop new CNN models/architectures, as well as use existing architectures, will be desirable. Knowledge of how these networks might be shared and deployed by scientists across institutions would be beneficial.

We are looking to fill a post-doctoral researcher position that will develop new deep learning technologies for the analysis of 3D microscopy images. A key focus will be on a world-leading laser ablation tomography technique, producing high-resolution colour images that will require the researcher to design and implement efficient training approaches for segmentation. We will link images between both LAT and CT, leveraging the best of both imaging types to extract accurate representations of plant root anatomy. We will work closely with our project partners at The University of Saskatchewan, CA (https://www.usask.ca/) and The Donald Danforth Plant Science Centre (https://www.danforthcenter.org/)

The candidate should have (or nearly completed) a PhD in a computer vision or a deep learning-related subject. The ability to work in an interdisciplinary team will be essential, ideally evidenced by previous work on interdisciplinary projects.  The ability to develop new CNN models/architectures, as well as use existing architectures, will be required. Knowledge of how these networks might be shared and deployed by scientists across institutions would be beneficial.

We are looking to recruit teaching and curriculum leadership-focused Assistant and Associate Professors to the School of Computer Science, to grow our capacity in delivering excellent-quality teaching and learning at a time of rapid growth and expansion of the subject within the University.

 The School of Computer Science is one of the largest Schools within the University, with over 1800 students and around 80 staff involved in delivering teaching. Alongside a well-established undergraduate programme with specialist pathways in Artificial Intelligence and Cyber Physical Systems, the School has a growing portfolio of master’s programmes, with over 400 students engaged in MSc study in a diverse range of topics in Computer Science including joint programmes with mathematics (MSc Data Science) and Engineering (MSc Human Computer Interaction).

You will have the ability to deliver a high standard of teaching through a variety of methods to support the school’s teaching requirements. You will also be responsible for the development of content and structure of existing and new modules as part of the overall curriculum. The School has recently established a Computer Science Education group to coordinate pedagogical research and professional development in the teaching and learning of computing, and you will be expected to contribute to this growing programme of activity and have opportunities to develop your pedagogical skills.

The Resilience Engineering Research Group within the Faculty of Engineering, University of Nottingham invite applications for enthusiastic researchers to work within a prestigious international team on a project funded by the Lloyd’s Register Foundation (LRF). 

This is an exciting and well-resourced project which aims to develop and establish the next generation of prediction methodologies and software tools to perform risk assessment for safety critical systems. The industrial relevance of these methods would be demonstrated through application in the nuclear, railway, and aerospace industries. These tools will overcome deficiencies in the currently available methodologies, which were developed in the 1970’s. The advances address the new technologies used in modern systems and the ways that they are now operated and maintained. 

The University of Nottingham leads the project, supported by academics at the Norwegian University of Science and Technology (NTNU) in Trondheim, and the University of California in Los Angeles (UCLA). Our industrial partners include: Rolls Royce, BAE Systems, Network Rail, HS1, RSSB and FirstGroup. 

We are looking for a Research Associate / Fellow in Digital Manufacturing to join our friendly and inclusive team within Advanced Manufacturing at the University of Nottingham. 

Our team is world leading in advanced manufacturing, robotics, digitalization, and factory automation. As part of the research team, the role holder will contribute to the EPSRC funded Elastic Manufacturing Systems (EMS) project. The EMS project aims to develop and demonstrate a new concept of Elasticity in Manufacturing Systems. This will allow future manufacturing operations to be delivered as a service, based on dynamic resource requirements and provision. 

The ultra-thin opto-acoustic fibre optic probe  project will develop new instrumentation to measure the mechanical properties of soft matter like tissues, through the interaction of acoustic interface waves and will focus on the classification of healthy and disease state for several types of cancer.

The project will develop new ultrasound transducers on the tip of optical fibers to convert light into soundwaves that can probe the tissues/cells in contact with the fiber tip. The transducer development will require experience of fabrication and characterisation of micro/nano structures. 

Testing the devices will involve the design and construction of optical instrumentation and fiber optics.

Applications are invited for the above post within the Faculty of Engineering, University of Nottingham, to work on a DEZNS-funded project titled ‘Ground-Based Array Network with AI for Enhanced Solar Forecasting and Decarbonised Grid Management’. The primary aim of this project is to develop weather sensors and an artificial intelligence model for forecasting local solar radiation to achieve accurate PV output performance.

The main responsibility of this role is to support the project team in weather array maintenance and weather data platform management. The successful candidate will need to demonstrate that they meet the Role Profile Criteria both in their application and during the interview.

Applicants should demonstrate relevant experience in common data transmission interface protocols and data management. Masters in solar energy engineering or computer science, or mathematics or image processing or a related quantitative field is essential.

Myotonic Dystrophy is the most common form of muscular dystrophy in adults. It affects around 1 in 5,000people. We are trying to develop a treatment for this condition as part of a multidisciplinary team involving researchers in Life Sciences and Chemistry at the University of Nottingham and colleagues at the University of Oxford. This work involves developing and testing small molecules as potential therapeutics in cell-based assays and other approaches for validation of on-target and off-target effects.

We are looking for someone to join a multidisciplinary team funded by an MRC DPFS award. The appointee will be responsible for testing compounds in cell culture and in vivo.  The appointee will be expected to have knowledge and experience of molecular biology, as well as the ability to work independently and within a group.

The post is offered on a fixed term contract until 31 October 2025, with an anticipated start around May 2024. Hours of work are full time (36.25 hours per week). Job share arrangements may be considered.

The researcher will have specific responsibility for carrying out fundamental research and delivering research objectives for a research project investigating the role and subcellular RNA localisation and translation in sensory nerve terminals and how they can impact responses to noxious stimuli that lead to persistent chronic pain. For this state of the art molecular tools and in vivo imaging and a simple, powerful, and ethical in vivo model (Drosophila melanogaster larvae), combined with mammalian neuronal models in culture  will be employed to identify conserved mechanisms that mediate pain processes and neuronal sensitisation.

The person appointed will be expected to plan and conduct research within the project proposal, suggesting, designing and using approaches or methodologies and techniques and working in compliance with all appropriate safety and legal requirements.

We are part of a highly active and interdisciplinary research environment that is inserted within the Pain Centre Versus Arthritis and the RNA Interdisciplinary Cluster (RIC@N) at the University of Nottingham, who foster a team science approach to their research. The person appointed will have the opportunity to use their initiative and creativity to identify areas of methodological advance and research innovation to extend their career development. Support in this process will include conference a

We are looking for a researcher, whose expertise lies in probability theory (especially limit theorems and Markov processes) and mathematical biology, to work with Dr. Wasiur KhudaBukhsh on an EPSRC- funded project entitled “Large Graph Limits of Stochastic Processes on Random Graphs”.  The central aim of the project is to derive functional limit theorems for real and measure-valued stochastic processes with applications to biochemical reaction networks, infectious disease epidemiology and ecology. 

We believe that talented and inclusive teams deliver the highest quality research and are seeking applications from high quality candidates who enhance the diversity of our existing team.  The School is committed to creating opportunities for people traditionally under-represented in Mathematical Sciences and strives to maintain an environment where people can be their authentic selves. 

Applications are invited for the post of Research Associate/Fellow specialising in Research Software Engineering and Data Science, to work in School of Medicine, University of Nottingham.

The role is funded as part of the Biomedical Research Centre Nottingham Program. The overall aim of the project is to provide data analytics support, software development and documentation for federated tools implemented within the program; this is a highly interdisciplinary project involving clinicians, research software engineers, bioinformaticians and data scientists. This post relates to a work package that will be using data science and health informatics to make the datasets within the program findable, discoverable accessible, interoperable (FAIR).

Applications are invited for the role of Research Associate/Fellow in the School of Medicine, University of Nottingham, to join the group of Dr Peter Aldiss whose research focusses on the hormonal and genetic regulation of obesity, addiction and the gut-liver-brain axis. You will be working within the GI and Liver theme of the NIHR Biomedical Research Centre and the Biodiscovery Institute (https://www.nottingham.ac.uk/research/research-areas/biodiscovery-institute/biodiscovery-institute.aspx), with access to a range of state-of-the-art facilities.

You will have the exciting opportunity to deliver a human volunteer pilot-study in healthy participants involving intake of sugar and alcohol, neuroimaging, collection of biological samples and subsequent analysis using molecular biology techniques.  You will be able to plan and conduct your own work independently, whilst also being able to build relationships and collaborate with others. A PhD (or near to completion) in human metabolic physiology, nutrition, imaging, or relevant area is essential. 

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Research Assistant (Fixed term, Part time)

Deadline : 23 April 2024

View details & Apply

The main responsibility of the role is to carry out theoretical and/or computational research in quantum and/or classical condensed matter theory. The appointed candidate will also be expected to communicate the outcomes of their research in the form of publications, seminars and presentations at relevant conferences and workshops. They will further be expected to interact effectively with our local group of researchers, who cover a broad range of theoretical areas including, besides condensed matter theory, statistical physics, computational physics, quantum information theory, and machine learning, on a day-to-day basis. 

We seek highly motivated, skilled and independent researchers to complement our team. Candidates should have a doctorate (Ph.D. or equivalent) in physics, or be very close to completion at the time they apply. The successful candidate is generally expected to have completed their Ph.D. by the time they start their role at the University of Nottingham. A strong research record in theoretical condensed matter physics with special emphasis on many-body systems, non-equilibrium statistical mechanics or a closely related area is essential.

The start date is flexible, but the successful candidate is generally expected to be in post by 1st October 2024. The position will be offered on a fixed-term contract for a period of 24 months. Hours of work are full time (36.25 hours).

Applications are invited for the above post to work with Dr Blandine French on an ESRC funded project on assessing the economic cost of undiagnosed ADHD and/or autism. The project uses quantitative methods to assess the risks and costs associated with these undiagnosed conditions. 

Candidates will need a BSc/ BA or equivalent in a relevant area (e.g. Psychology) and would ideally have completed a Master’s Degree, or equivalent, in related discipline (e.g. Psychology or Health Economics). This post would be ideal for a PhD student who needs part-time work within their studies. The ideal candidate will have excellent communication skills, experience of managing big data sets and recruitment as well as data analysis skills. 

This project aims to apply research in clinical settings and a keen interest in these conditions and their care pathways is essential. You will be joining the School of Psychology which is located in the attractive University Park Campus, with an adjacent tram stop allowing easy access to the city of Nottingham. 

An exciting opportunity has arisen for an ambitious and talented psychologist or behavioural economist to join the School of Psychology as part of the NIHR BTRU in Donor Health and Behaviour with work on an the NHS Blood and Transplant (NHSBT: England’s blood service) funded ENCOURAGE: ENhancing organ donation COnversations in ethnic minority commUnities thRough emotional engagement) project in collaboration with the University of Bangor, Northumbria University, Action on Blood and NHSB.T 

Increasing the availability of organs for transplantation for a wider diversity of people in cortical to ensure successful delivery of the organ transplantation Programme in England. Furthermore, while people from ethnic minorities have more health conditions requiring transplants than White people, people from ethnic minorities are less likely to register on the organ donor register (ODR) to be a deceased donor (DD), become living donors (LD), or engage in transplant-related research. Family members are also less likely to support DD. Very little is known about why this is. To address this, this work programme or research takes co-designed, arts-based approach to engage people emotionally with these issues, allowing communities to create their own solutions and resource. We will address this through 4 work packages (WPs).  WP1: large online survey of the UK population; WP2: workshops with target communities and professional filmmakers; WP3: producing films; and WP4: experimental evaluation of the films effectiveness.