36 Postdoctoral Fellowship at University of Cambridge, United Kingdom

This project aims at investigating the potential of clusters of strong volcanic eruptions to cause sustained cold events under pre-Holocene climate scenarios. The successful applicant will design and run transient climate model experiments using Earth system models that include atmospheric chemistry-aerosol-climate coupling, i.e. one or two of the following models: UKESM1, MPI-ESM1.2, and HadCM3. The simulations will be performed under a range of glacial boundary conditions to determine the cooling potential of volcanic clusters and assess short- and long-term memory of regional and global climatic variability. Particular attention will be paid to how volcanic cluster signals propagate into the subsurface ocean and the associated determinant processes, the ocean memory effects and the coupling between northward heat transport, Arctic sea ice and the Atlantic Meridional Overturning Circulation. Finally, the experiments will be evaluated using a wide network of proxy-climate data by comparing reconstructed and simulated spatial temperature and precipitation patterns.

The Faculty of Economics, Cambridge University has a Postdoctoral Research position available for candidates working on international trade and trade agreements. Ideal candidates include those who have recently been awarded a doctoral degree or expect to receive their degree by September 2023. The position is for a period of 2 years. Candidates who will complete their PhD after September 2023 might be considered if they have a particularly relevant skill set. Extensive experience working with administrative microdata and programming mathematical models featuring firm heterogeneity in Matlab or Julia are highly desired.

We are looking for candidates with a background/interest in Applied Econometrics, Education, Demand Analysis and Labour. The post is attached to Professor Debopam Bhattacharya’s ESRC project on Econometric Demand and Welfare Analysis. The successful candidate will be expected to coauthor papers that form part of the project and to develop independent research. There is flexibility regarding which aspects of the project the candidate will be involved with. The candidate will also be expected to be an active member of the Economics faculty. He/she will also assist with the academic aspects of organising research workshops related to the ESRC grant.

The Managers of the Herchel Smith Postdoctoral Research Fellowships Fund invite applications for a Postdoctoral Research Fellowship to pursue research within the general field of Pure Mathematics. Fellows are required to pursue their research on a full-time basis in Cambridge. The Fellowship is intended to enable an outstanding and highly motivated scholar who has demonstrated a capacity for individual research to focus exclusively on research at an early stage in their career, to develop academic potential, and to produce work of an international standard within the field. The Fellowship is to be held from 1 October 2023 or otherwise by negotiation. The Fellowship is available for up to three years and provides an opportunity for independent research, although the holder will usually work in close collaboration with an established research group.

The Managers of the Herchel Smith Postdoctoral Research Fellowships Fund invite applications for a Post-Doctoral Research Fellowship, tenable from 1 October 2023, to pursue research within the general field of organic or biological chemistry. The Fellowship is intended to provide an opportunity for an outstanding and highly motivated scholar to focus exclusively on research at an early stage in his/her academic career, to develop academic potential, and to produce research of an international standard within the field. The Fellow will be assigned to and work in collaboration with an established research group in the Department of Chemistry, but will be expected to exhibit a significant degree of independence.

The Janeway Institute at the Faculty of Economics, Cambridge University has a Postdoctoral Research Fellowship available for candidates working on areas of economics related to transmission mechanisms and economic policy. Eligible candidates include those who have recently been awarded a doctoral degree or expect to receive their degree by September 2023. The Fellowship is for a period of 3 years.

We are looking for a candidate with a background/interest in interdisciplinary research and teaching straddling the fields of economics, computer science and neuroscience. The post is attached to Prof. Peter Bossaerts’ Leverhulme Trust International Professorship. The research aims at exploring and understanding human adaptability in the face of uncertainty induced by complexity. For this position, the successful candidate should be an expert in general equilibrium theory in economics. Exposure to experimental research on human decision-making, and/or to applications in computer science regarding computational complexity, are desirable.

We are looking for a candidate with an interest in interdisciplinary research and teaching straddling the attached to Prof. Peter Bossaerts’ Leverhulme Trust International fields of economics, engineering (control and dynamical systems) and neuroscience. The post is Professorship. The research aims at exploring and understanding human adaptability in the face of uncertainty. For this position, the successful candidate should be an expert in adaptive control, in particular model-reference based adaptive control (MRAC). Knowledge of economics is not a must, but familiarity with it is a plus, especially if this concerns decision-making under uncertainty. Alternatively, prior exposure to computational neuroscience, in particular reinforcement learning, is desirable.

The Centre for Trophoblast Research (CTR) was founded in 2007 as a Centre of excellence to promote scientific study of the placenta, early development and maternal-fetal interactions during pregnancy. It brings together over 30 Principal Investigators, many of whom are recognized international experts in their fields. The CTR was one of the University of Cambridge’s first inter-school initiatives, bridging research in the Departments of Physiology, Development, and Neuroscience, Obstetrics and Gynaecology, Genetics, Pathology and allied institutes, including Metabolic Science, as well as the Gurdon, Sanger, Babraham and Stem Cell Institutes. The CTR has an opening for a Next Generation Fellow who will complement and synergise with our existing research programmes. Next Generation Fellowships are a springboard to a long and successful career in the field of placental and reproductive biology, and are aimed at promoting the careers of high-calibre individuals pursuing innovative research falling within the remit of the Centre. Next Generation Fellowships are highly flexible to suit individual needs, and to enable the postholder to develop as an independent researcher within a supportive and stimulating environment. Holders are expected, and will be supported, to apply for Research Fellowship/Career Development Awards from research councils or other funders, or a faculty position during their tenure.

This is an exciting new opportunity for a highly motivated computational researcher to join Professor Sir Shankar Balasubramanian’s pioneering research programme to play a key role in advancing the understanding of sequence, structure and chemical modifications in DNA and RNA. Using their expert knowledge of programming languages, statistical/machine learning methods, bioinformatics tools and resources, the ideal candidate will use and develop computational approaches to transform raw sequencing data into biologically meaningful information. The successful candidate will have strong problem analysis/solving skills and be able to work collaboratively within a multidisciplinary team working at the interface between chemistry, biology and bioinformatics. This is a vital post and the applicant will join a small team, with two other bioinformaticians, applying their expertise across the group. The role will be focussed on innovative technology and on translational research and we would welcome candidates with industrial experience.

The project aims at a comprehensive virtualisation of industrial operations, i.e. a hierarchical representation of data and models associated with every entity at different levels of granularity, in order to exploit synergies for resource, energy, and emissions savings. The overall goal is, using ideas from Industry 4.0, Internet of Things, the Semantic Web, machine learning, and statistics, to create a system capable of providing quantitative decision support to stakeholders, planners, and policymakers and extend the World Avatar (TWA) so that we can reach the project aims. This is being realised through an ontological representation of data in a knowledge-graph in combination with an eco-system of autonomously operating software agents, thus achieving interoperability and automation in cross-domain applications. Specifically, this project is placed in the computational engineering domain and is concerned with integrating information material circularity evaluations into the knowledge-graph, linking to related information and thus enabling data sharing and novel applications.

We invite applications for an exciting opportunity to work with Professor Sir Shankar Balasubramanian to translate academic discoveries into workable technologies with real world applications. Research within the group has previously led to the founding of 3 spin-out companies that include Solexa Ltd. and Cambridge Epigenetix Ltd. We are building a team to focus on pre-commercial development of technologies discovered by the group and are looking to appoint chemists/chemical biologists/molecular biologists to join it. The research will involve nucleic acids chemistry and enzymology, protein-DNA interactions, epigenetics, chromatin structure and transcription. (http://www.balasubramanian.co.uk/)

We seek a highly motivated Post-doctoral Research Associate to join a multi-disciplinary team in the new Centre for Landscape Regeneration (CLR), developing a land-use scenario modelling framework for exploring how combinations of management regimes across landscapes will affect biodiversity recovery and the provision of human needs. You will join a team consisting of Professor Andrew Balmford of the Department of Zoology and Drs Richard Bradbury, Rob Field and Tom Finch and a parallel post-doctoral researcher at the RSPB. You will work with scientists, farmers and land managers, and local and regional government and resource managers to identify which management regimes might best contribute to biodiversity restoration, climate change mitigation and other societal needs in the East Anglian Fens. You will then transfer this framework to target landscapes in the Lake District and the Cairngorms.

Applications are invited for a Postdoctoral Research Associate position in Microbial Genomics to start from early 2023 in the group of Dr Alexandre Almeida (www.vet.cam.ac.uk/staff/dr-alexandre-almeida) at the Department of Veterinary Medicine. This project is funded by an MRC Career Development Award to investigate the role of uncultured bacteria from the human gut microbiome in health and disease. The main focus of the research will be to perform large-scale genomic and statistical analyses using thousands of genomes from the human gut microbiome to identify genetic and functional traits of bacterial strains associated with multiple chronic diseases. This will involve the use of pan-genome analyses tools, genome-scale metabolic modelling, microbial genome-wide association studies (mGWAS) and machine learning approaches to identify predictive features of health and disease.

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Postdoctoral Research Associate (Fixed Term)

Deadline : 16 November 2022

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We invite applications for a post-doctoral research associate to join the “E-biogenesis” project at the University of Cambridge Department of Plant Sciences. The successful applicant will work in the brand new and vibrant Crop Science Centre: a flagship initiative designed to accelerate the transition to sustainable agriculture. Funding is available for four years from January 2023, with a flexible start date within the following 6 months.

Applications are invited for a highly motivated post-doctoral research associate to work on reproductive heat tolerance in legume crops in Dr Natasha Yelina’s laboratory. The successful candidate will be joining a vibrant and friendly group of researchers in the Crop Science Centre at the University of Cambridge. The Crop Science Centre which opened in October 2020 benefits from the diverse skills and expertise of the University of Cambridge and NIAB, providing an environment for research excellence in crops, with the drive and expertise for scientific translation to address real-world problems.

Applications are invited for a 2-year Postdoctoral Research Associate (PDRA) under the supervision of Professor Erwin Reisner in the Yusuf Hamied Department of Chemistry at the University of Cambridge. The project will support the development of biohybrid systems for the controlled synthesis of organic chemicals at high efficiency using sunlight by combining the strength of synthetic and biological technologies. An integrated platform will be developed that incorporates efficient light harvesting by semiconductors to drive a network of enzymes and engineered live cells to convert carbon dioxide to bespoke complex chemical products. The PDRA will support the biological work of the project within a cross-disciplinary team with the ambition to develop bioelectrochemical and biophotocatalytic technologies to synthesise high value chemicals sustainably.

Applications are invited for a 2-year Postdoctoral Research Associate (PDRA) under the supervision of Professor Erwin Reisner in the Yusuf Hamied Department of Chemistry at the University of Cambridge. The project will support the development of the controlled synthesis of organic chemicals at high efficiency using sunlight by combining the strength of synthetic and biological technologies. An integrated platform will be developed that incorporates efficient light harvesting by semiconductors to drive a network of synthetic and biological catalysts to convert CO2 to bespoke complex chemical products. The PDRA will work within a cross-disciplinary team with the ambition to develop direct photon-to-chemical conversion technologies based on integrated catalysis networks to synthesise high value chemicals sustainably from sunlight.

Applications are invited for a 2-year Postdoctoral Research Associate (PDRA) under the supervision of Professor Erwin Reisner in the Yusuf Hamied Department of Chemistry at the University of Cambridge. The project will support the development of biohybrid systems for the controlled synthesis of organic chemicals at high efficiency using sunlight by combining the strength of synthetic and biological technologies. An integrated platform will be developed that incorporates efficient light harvesting by semiconductors to drive a network of synthetic and biocatalysts to convert carbon dioxide to bespoke complex chemical products. The PDRA will oversee the physical chemistry activities, which involve the in situ characterisation and mechanistic studies of the catalysis networks. Specifically, the PDRA will investigate the material-catalyst interface using a range of techniques, in particular spectroscopy (e.g., infrared and Raman), within a cross-disciplinary team with the ambition to develop direct photon-to-chemical conversion technologies.

Applications are invited for two Research Associate positions available in the Department of Pure Mathematics and Mathematical Statistics to work in the area of Statistics. Funding for these posts will come from Professor Richard Samworth’s European Research Council Advanced Grant, entitled ‘Robust statistical methodology and theory for large-scale data’. This programme of research recognises that in the Big Data era, the complexities of data structures and the phenomena we seek to study through data make it increasingly hard to feel confident in simple, traditional statistical models. We should therefore seek procedures that are robust, by which we mean that our procedures should perform well with respect to as wide a class of data generating mechanisms as possible.

The Accelerate Programme for Scientific Discovery is a high-profile Cambridge University initiative promoting the use of machine learning to tackle major scientific challenges. Working across disciplines within the University, Accelerate is advancing research at the interface of AI and science, providing training in data science for science, and building a community of research and practice. We are inviting applications for Research Assistants/Associates to join Accelerate. We are looking for candidates who are passionate about advancing science through machine learning and about helping other researchers do the same. Successful candidates will be responsible for developing research projects and contributing to the Programme’s community-building activities.

Two positions exist for Research Associate in the group of Dr Slager, embedded in the Theory of Condensed Matter group at the Department of Physics, University of Cambridge. The aim of the role is to explore new topological phases of matter, broadly defined. In particular, we will be keen on further exploring multi-gap topologies. Additionally, we will be interested in topological physics and relations to superconductivity, out-of-equilibrium, defects, quantum geometry as well as response physics and beyond. The candidate will be funded from an ERC-UKRI grant that aims to further develop these new phases of matter. Please see our recent works on the website or contact the PI for more details. Although the candidate will be concerned with the theoretical aspects of this pursuit, this position is part of an ambitious research program, with a strong interdisciplinary nature, including but not limited to collaborations with the Monserrat group in the Materials Science and Metallurgy Department as well as other international theoretical and experimental partners.

The successful candidates will have a strong background in process engineering, process design and integration, including a PhD in a relevant area. Experience in Power-to-X processes, heterogeneous catalysis and separation processes would be advantageous.

The aim of the project is the development of novel green ammonia processes, powered by renewable energy and able to cope with its intermittency nature. The research will involve the development of engineering principles for dynamic Power-to-X chemical process, considering reactor, separation and heat integration units. Research will be focused on green ammonia production with the potential of extending it to other chemical processes towards the electrification of the chemical industry.

We invite applications for a Research Assistant/Associate position in the group of Dr Bartomeu Monserrat at the University of Cambridge. We are looking for a motivated, independent, and talented scientist to join our group. This is an open call in the general area of first principles materials modelling. The successful candidate will work in one or several of the current areas of interest in the group, which include: * Topological materials * Superconductivity * Strongly correlated materials * Exciton-phonon coupling * Machine learning

Applications are invited for a researcher position in the laboratory of Dr Paul Miller at the Department of Pharmacology, University of Cambridge. I am looking for a motivated and diligent scientist to study small molecule and/or antibody modulators of ion channels as research tools and therapeutic leads, in order to study channel subtype contributions to CNS physiology and disease and empower drug discovery. This is a great opportunity to gain experience in handling challenging membrane proteins, understanding small molecule and/or antibody modulation, and cryo-EM, ideal for follow-on academic and biotechnology careers. The lab utilises mammalian cell protein expression systems, membrane protein purification, and cryo-EM via Arctica and Krios microscopes with K2/K3 direct detectors, and also has manual and automated electrophysiology equipment. More information about the laboratory is available at https://www.phar.cam.ac.uk/research/miller.

A position is available to work on visual models and metrics for evaluating and optimizing the quality of AR/VR graphics. The project aims to develop a family of image/video difference metrics that predict the perceived degradation of image quality while considering physical (AR/VR) display characteristics. This particular role focuses on the training, evaluation and development of metrics that could be used to accelerate research on rendering and display methods used in AR/VR headsets.

We are looking to appoint a number of outstanding applicants to the position of Research Assistant/Associate in Cambridge Construction “Do Tank” to undertake high quality research focussed on transforming the construction sector by using evidenced based research findings to inform thought leadership and influence policy that can be implemented by industry and government (primarily in the UK). Each appointee will work on one of the following areas:

• Productivity and performance measurement in construction – developing a generic framework for consistent evaluation of performance to improve decision making and productivity.
• Social value and well-being, for example mental health – studying how these are currently recognised, evaluated and addressed in the construction sector and developing tools for improving outcomes.
• Skills in the UK construction sector. Gap analysis and roadmap of skills required in construction now and in the future.
• Procurement strategies to incentivise improved outcomes in construction.
• Digital Engineering – automatic collection, collation, analysis and presentation of construction industry data using computer vision, signal processing and machine learning tools to enhance decision making.

The Institute of Astronomy (IoA) expects to appoint a postdoctoral researcher to work in Professor Debora Sijacki’s group. The research will encompass a wide range of issues relating to black hole and galaxy formation at high redshifts, their cosmic evolution to the present day and the impact of supermassive black holes on galaxy mergers and galaxy clusters. The research will involve extensive hydrodynamical simulations as well as linkage to observational data. Substantial experience in N-body/hydrodynamical modelling is essential for this position. The successful applicant will be expected to pursue independent and collaborative research, develop a high degree of interaction with the faculty, postdoctoral researchers and research students, and actively contribute to the life of the department. They will disseminate their research findings via publications or other appropriate media, such as international workshops and conferences. They will be encouraged to participate in the teaching and learning programmes of the department as well as in the supervision of postgraduate research students and outreach events.

A postdoctoral position is available at the Institute of Astronomy, funded by a Leverhulme Grant to Professors Vasily Belokurov and Wyn Evans to study “The Faint Universe made visible with Machine Learning”. Candidates should hold a PhD (or be near to completion) in astronomy, physics, maths or a related field and have research expertise in one or more of the following fields: galactic astronomy and dynamics, numerical simulations of galaxy formation, machine learning and computational statistics, astronomical spectroscopy, wide-field surveys, or any allied areas of theoretical/observational astrophysics. Expertise with handling large datasets is a distinct advantage. Prior experience with photometric, astrometric and spectroscopic surveys such as Gaia, SDSS, DES and APOGEE is also helpful.

A position exists for a Research Assistant/Associate in the Department of Engineering funded by the EPSRC through project: “RESTOR: Reuse of structural steel in construction”. The post holder will be located in the Civil Engineering Building, 7a JJ Thomson Ave, Cambridge, UK. The key responsibilities and duties are to: develop a web-based, generative Digital Twin (DT) design tool that will create automated and optimized steel frame configurations (TRL5). Other activities include implementing and maintaining software prototypes, integrating lab test results into the RESTOR tool, developing a user interface, testing, and dissemination of outcomes. Candidate should disseminate the outcomes of the projects and author reports to the projects’ sponsors; develop proposals for own or joint research; conduct individual and collaborative research; present and publish research work; and manage own research and administrative activities, with guidance if required. The post holder will also be expected to: liaise with the consortium partners and staff; liaise with colleagues and students; build internal and external contacts; administer meetings of the consortium; plan the use of and maintain research and lab resources and equipment; plan and manage own research activity; and contribute to planning of joint research projects led by the principal investigator.

A position is available to work on rendering for hyper-realistic displays with a starting date between January and April 2023. The project aims to create images that would appear highly realistic to the human eye and convey an almost complete set of depth cues. This will be achieved by combining high dynamic range, binocular stereo and multiple focal depths in a single display setup. The successful candidate will work with traditional computer graphics, neural and image-based rendering methods to generate highly realistic content for our hyper-realistic display (https://www.cl.cam.ac.uk/research/rainbow/projects/hdrmfs/). The goal is to create a pipeline that lets us capture a 3D scene with high colour and geometric accuracy, represent it efficiently and then render it in real time on our display. We are particularly interested in the reproduction of skin tones and specular materials.