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<p class="MsoNormal">***apologies if you receive this more than once***<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Please see below 4 new vacancies at the Turing. Should you have any queries, please email recruitment@turing.ac.uk.<o:p></o:p></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;background:white">
<b><span style="color:black">Research Project Manager in Data-Driven ClimateTech</span></b><span style="color:black">, in the Programme Management Directorate.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;background:white">
<span style="color:black">The post holder will work with the Programme Director, Programme Manager, academic researchers and industry partners to coordinate each research project and workstream from concept to implementation. This will include defining project
milestones, financial planning, contract negotiation, recruitment and ensuring effective governance and reporting. In addition to their project management responsibilities, the post-holder will work with industry partners and stakeholders to ensure the successful
delivery of a broad range of complementary workstreams. This will include arranging events and workshops that bring together academic researchers, government and industry, and managing stakeholder relationships together with colleagues.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;background:white">
<span style="color:black">The Research Project Manager will need to liaise closely with Institute research and operations staff remotely, in London, and at university and research centre partners in order to perform their role. They will also be expected to
liaise, and build strong relationships, with our industry partners, affiliate partners and funding bodies.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;background:white">
<span style="color:black">The post holder will be instrumental in ensuring that Data-Driven ClimateTech programme runs smoothly and delivers on its ambitious aims to contribute the Institute’s expertise to the ClimateTech ecosystem.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;background:white">
<span style="color:black">This role reports to the Programme Manager, Data-Driven ClimateTech<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;background:white">
<b><span style="color:black">This is a full-time, permanent opportunity.<o:p></o:p></span></b></p>
<p class="MsoNormal">Please find below a link to the advert, job description and application form.
<o:p></o:p></p>
<p class="MsoNormal"><u><a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcezanneondemand.intervieweb.it%2Fturing%2Fjobs%2Fresearch_project_manager_datadriven_climatetech_18709%2Fen%2F&data=04%7C01%7Csdd1%40soton.ac.uk%7Ca233807a3e964abae8b708d9c3a5db57%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C637755939381183793%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=t9re%2FbE2PUbOnT0UM%2BUJ3WWf7mvlS8JzWpdW426HuJA%3D&reserved=0">https://cezanneondemand.intervieweb.it/turing/jobs/research_project_manager_datadriven_climatetech_18709/en/</a><o:p></o:p></u></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>Closing date</b>: January 14 2022<o:p></o:p></p>
<p class="MsoNormal"><br>
<b><span style="color:black">Research Associate in Climate, Heath and Health (DyME Project)</span></b><span style="color:black"> within
<b>AI for Science and Government </b>Directorate. <o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;background:white">
<span style="color:black">The successful candidate will join the Environment & Sustainability team as part of a new project aiming to develop models and tools to provide high quality information on the impact of extreme temperature events associated with future
climate change on population health.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;background:white">
<span style="color:black">The aim of this project is to develop models that will provide new information on ‘personal exposures’ to environmental hazards, specifically those related to exposure to future increased temperatures associated with climate change.
Based on a microsimulation modelling approach that integrates environmental conditions with human behaviour, the results will feed into health impact analyses and highlight population groups that may be disproportionately at risk and inform local adaptation
strategies to climate change risks. The project will build upon the DyME (Dynamic Models for Environments) framework and tools that were created as part of the Royal Society RAMP Urban Analytics programme that accelerated development of technological innovation
in the use of dynamic microsimulation models in real-world applications. Integrating the foundations DyMe: the QUANT and SPENSER platforms for urban mobility and dynamic microsimulation, with the Joint Centre for Excellence in Environmental Intelligence’s
Climate Impacts Mitigation Adapation and Resilience (CLIMAR) framework and existing work on user interfaces in DyME the outputs of the project will include new data products, tools and interfaces for estimating the local effects of climate and heat on health.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;background:white">
<span style="color:black">Collaborations with local government will offer a pathway to real-world impact and access to data and there will be opportunities for public engagement work within the project.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;background:white">
<span style="color:black">The successful candidate will report to Professor Gavin Shaddick. They will also collaborate with other Environment & Sustainability team members, members of the Turing Data Science for Science & Humanities programme and members of
the Turing Urban Analytics programme, including Professor Mark Birkin and Professor Nick Malleson. The successful candidate will also be expected to work closely with external stakeholders to ensure the tools and models that are developed fit for purpose and
readily accessible.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black">This Part Time (0.5 full-time equivalent) post is offered on a fixed-term basis to 30 September 2023.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal">Please find below a link to the advert, job description and application form.
<o:p></o:p></p>
<p class="MsoNormal"><u><a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcezanneondemand.intervieweb.it%2Fturing%2Fjobs%2Fresearch_associate_climate_heat__health_dyme_project_18890%2Fen%2F&data=04%7C01%7Csdd1%40soton.ac.uk%7C963c168555de40878d7a08d9c3a801d7%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C637755948618449022%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=ROeyuRnT9KOezdpPL%2FEwI1qFjPFJ02bKJKfIDmplFVs%3D&reserved=0">https://cezanneondemand.intervieweb.it/turing/jobs/research_associate_climate_heat__health_dyme_project_18890/en/</a><o:p></o:p></u></p>
<p class="MsoNormal"><u><o:p><span style="text-decoration:none"> </span></o:p></u></p>
<p class="MsoNormal"><b>Closing date</b>: January 14 2022 at 23:59<o:p></o:p></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;background:white">
<b><span style="color:black">Research Associate/Senior Research Associate, Computational Social Science
</span></b><span style="color:black">within <b>AI for Science and Government </b>
Directorate.<b> </b><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;background:white">
<span style="color:black">We are looking to recruit a Postdoctoral Research Associate to work as part of the wider shocks and resilience team to derive general principles concerning the stability/resilience of complex, interconnected socio-economic systems.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;background:white">
<span style="color:black">The successful candidate will use computational techniques to examine the dynamics of social media activity, particularly the spread of disinformation and other harmful content online. We are interested in understanding how information
and disinformation spread online, and how their diffusion relates to rapid scaling up of online activity, or lurches of opinion regarding (for example) the safety of vaccines or resistance to policy interventions such as lock-downs and closures.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;background:white">
<span style="color:black">We are particularly interested in hearing from candidates with experience in computational social science methodologies, including (but not limited to) collecting and processing large scale social media datasets, using statistical
models to analyse data, network science, unsupervised machine learning as well as other techniques for analysing indicators of online activity and information spread. These computational methodologies will be applied to a number of case studies which we are
developing in partnership with policymakers, tackling specific policy questions that arise as a result of the Covid-19 crisis and beyond.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black">This full-time post is offered on a fixed-term basis until 31 March 2023.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal">Please find below a link to the advert, job description and application form.
<o:p></o:p></p>
<p class="MsoNormal"><u><a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcezanneondemand.intervieweb.it%2Fturing%2Fjobs%2Fresearch_associate_computational_social_science_18973%2Fen%2F&data=04%7C01%7Csdd1%40soton.ac.uk%7C2c22c7c90424497a76ce08d9c3a911f8%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C637755953182551570%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=8SB%2FrWBt534Kww4csdTK69vWTMxKUSNitA7mVcEUyAI%3D&reserved=0">https://cezanneondemand.intervieweb.it/turing/jobs/research_associate_computational_social_science_18973/en/</a><o:p></o:p></u></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>Closing date</b>: 14 January 2022<o:p></o:p></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:justify;background:white">
<b><span style="color:black">Research Associate, Molecular Biology </span></b><span style="color:black">within
<b>AI for Science and Government </b>Directorate.<b> </b><o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black">The RA will work as part of a team to develop computer vision and machine learning approaches to enable the intelligent sampling of cryo-electron microscopy image data. These approaches may be informed by prior
knowledge and/or physical models of molecular structure, with the aim of determining molecular structures with enhanced resolution, and detail regarding dynamic states.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:black">The RA will play an active part in all aspects of research from data preparation, to the development of research questions, modelling and analysis, and writing up/publication. Technical meetings will take place
between the partner institutions, establishing a robust platform for developing future programmes between the biological sciences, the Turing, the Franklin and the wider scientific community. This is a collaborative research role and so it is crucial that
you enjoy working with others within an interdisciplinary research environment. <o:p>
</o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:black">This full-time post is offered on a fixed-term basis until 31 January 2025.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:black"><o:p> </o:p></span></p>
<p class="MsoNormal">Please find below a link to the advert, job description and application form.
<o:p></o:p></p>
<p class="MsoNormal"><u><a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcezanneondemand.intervieweb.it%2Fturing%2Fjobs%2Fresearch_associate_molecular_biology_18891%2Fen%2F&data=04%7C01%7Csdd1%40soton.ac.uk%7Ca755abd439394ea64b7108d9c3ad94be%7C4a5378f929f44d3ebe89669d03ada9d8%7C0%7C0%7C637755972556273294%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=5uw2DDHn8Th0dn3B6qCEXoXA2AcqFg%2BQxn0o%2FFpBA1s%3D&reserved=0">https://cezanneondemand.intervieweb.it/turing/jobs/research_associate_molecular_biology_18891/en/</a><o:p></o:p></u></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>Closing date</b>: 23 January 2022<o:p></o:p></p>
<p class="MsoNormal"><span style="font-size:12.0pt;mso-fareast-language:EN-GB">_________________________________<o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt;mso-fareast-language:EN-GB">Susan Davies<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:12.0pt;mso-fareast-language:EN-GB">Coordination Manager,
<a href="https://www.southampton.ac.uk/wsi/index.page?"><span style="color:#0563C1">Web Science Institute</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;mso-fareast-language:EN-GB">University Liaison Manager,
<a href="https://www.southampton.ac.uk/wsi/alan-turing-institute/alan-turing-institute.page">
<span style="color:#0563C1">The Alan Turing Institute</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;mso-fareast-language:EN-GB">Web Science Institute<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;mso-fareast-language:EN-GB">University of Southampton<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;mso-fareast-language:EN-GB">Southampton SO17 1BJ<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;mso-fareast-language:EN-GB">M 07768 266464<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;mso-fareast-language:EN-GB"><a href="https://www.southampton.ac.uk/wsi/index.page"><span style="color:#0563C1">https://www.southampton.ac.uk/wsi</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><i><span style="font-size:12.0pt;mso-fareast-language:EN-GB">My working days are Monday to Thursday.<o:p></o:p></span></i></b></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
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