Tamsin Edwards

King's College London is seeking a postdoctoral researcher to join a multidisciplinary team of climate scientists and artificial intelligence experts in the Department of Geography. The successful candidate will contribute to generating new projections of the land ice contribution to global mean sea level rise until 2300 using advanced machine learning techniques. The role involves developing probabilistic machine learning emulators for multiple ice sheet and glacier models, leveraging large ensembles of simulations from international projects such as PROTECT (EU Horizon 2020) and ISMIP7 (Ice Sheet Model Intercomparison Project for CMIP7). These emulators will be used to project ice sheet and glacier contributions to sea level rise, calibrate results with observational data, and compare outcomes with other modelling approaches, including Gaussian Process methods. The research will inform the Intergovernmental Panel on Climate Change Seventh Assessment Report (AR7) and support global adaptation and mitigation policymaking. The postdoctoral researcher will be based in the Department of Geography, reporting to Prof Tamsin Edwards (project lead and line manager) and Dr Alex Bradley (first supervisor), with collaboration from Dr David Watson (Department of Informatics). The position is funded by King’s Climate and Sustainability and offered on a fixed-term contract for 12 months. Key responsibilities include developing machine learning emulators, publishing research in leading journals, presenting at conferences, and communicating findings to stakeholders. Applicants must have a PhD in mathematical, physical, or computational sciences, experience with machine learning and statistical programming (preferably R and/or Python), and skills in analyzing large datasets. Interest in uncertainty quantification and climate predictions is essential, along with strong teamwork and communication abilities. Desirable qualifications include knowledge of sea level rise or polar climate change, experience with ice sheet, glacier, or climate model data, and multidisciplinary collaboration. King's College London is committed to equality, diversity, and inclusion, offering flexible working and supportive benefits. Candidates should submit a CV and supporting statement addressing the essential criteria. Full details are available in the Job Description document.

This postdoctoral position at King’s College London is based in the School of Global Affairs, within the Department of Geography, and is funded by King’s Climate and Sustainability. The successful candidate will join a multidisciplinary team of climate scientists and artificial intelligence experts to develop new projections of the land ice contribution to global mean sea level rise until 2300 using advanced machine learning techniques. The research will focus on building probabilistic machine learning emulators for multiple ice sheet and glacier models, leveraging large ensembles of simulations from international projects such as PROTECT (EU Horizon 2020) and ISMIP7 (Ice Sheet Model Intercomparison Project for CMIP7). These emulators will be used to generate projections, calibrate results with observational data, and compare outcomes with other emulator approaches, including Gaussian Process methods. The findings will inform the Intergovernmental Panel on Climate Change Seventh Assessment Report (AR7) and support adaptation and mitigation policymaking by global stakeholders. The postdoctoral researcher will be responsible to Professor Tamsin Edwards (project lead and line manager) and Dr Alex Bradley (first supervisor), and will collaborate with Dr David Watson from the Department of Informatics. Key responsibilities include developing machine learning emulators, publishing research in leading journals, presenting at conferences, and communicating results to stakeholders. The position is offered on a fixed-term contract for 12 months and provides an inclusive and supportive working environment. Applicants should hold a PhD in a relevant discipline and have experience in machine learning, probabilistic modeling, and scientific research. No specific language or GPA requirements are mentioned. Application details can be found on the King’s College London website.

King’s College London’s School of Global Affairs is seeking a postdoctoral researcher to join a multidisciplinary team of climate scientists and artificial intelligence experts. The successful candidate will contribute to generating new projections of the land ice contribution to sea level rise until 2300 using advanced machine learning techniques. The role involves developing probabilistic machine learning emulators for multiple ice sheet and glacier models, leveraging large ensembles of simulations from international projects such as PROTECT (EU Horizon 2020) and ISMIP7 (Ice Sheet Model Intercomparison Project for CMIP7). These simulations are designed to inform the Intergovernmental Panel on Climate Change Seventh Assessment Report (AR7) and will be used to calibrate and compare projections with observational data and other emulator methods. The research outcomes will support global stakeholders in adaptation and mitigation policymaking. The postdoctoral researcher will be based in the Department of Geography, reporting to Prof Tamsin Edwards (project lead and line manager) and Dr Alex Bradley (first supervisor), with collaboration from Dr David Watson (Department of Informatics). Key responsibilities include developing machine learning emulators, publishing research in leading journals, presenting at conferences, and communicating findings to stakeholders. The position is funded by King’s Climate and Sustainability and offered as a fixed-term contract for 12 months. King’s College London is committed to equality, diversity, and inclusion, providing a welcoming and supportive environment for all staff. Applicants should hold a PhD in mathematical, physical, or computational sciences and demonstrate expertise in machine learning, statistical programming (R and/or Python), and large dataset analysis. Interest in uncertainty quantification for climate models and strong communication skills are essential. Knowledge of sea level rise, polar climate change, and experience with ice sheet or glacier model data are desirable. Candidates are required to submit a CV and supporting statement addressing the essential criteria, with further details available in the Job Description document.