[Turing-Southampton] New roles at The Alan Turing Institute

Mon Dec 20 15:54:51 GMT 2021

***apologies if you receive this more than once***

Please see below 4 new vacancies at the Turing.  Should you have any queries, please email recruitment at turing.ac.uk.
Research Project Manager in Data-Driven ClimateTech, in the Programme Management Directorate.
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.
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.
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.
This role reports to the Programme Manager, Data-Driven ClimateTech
This is a full-time, permanent opportunity.
Please find below a link to the advert, job description and application form.
https://cezanneondemand.intervieweb.it/turing/jobs/research_project_manager_datadriven_climatetech_18709/en/<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>

Closing date: January 14 2022

Research Associate in Climate, Heath and Health (DyME Project) within AI for Science and Government Directorate.
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.
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.
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.
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.
This Part Time (0.5 full-time equivalent) post is offered on a fixed-term basis to 30 September 2023.

Please find below a link to the advert, job description and application form.
https://cezanneondemand.intervieweb.it/turing/jobs/research_associate_climate_heat__health_dyme_project_18890/en/<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>

Closing date: January 14 2022 at 23:59
Research Associate/Senior Research Associate, Computational Social Science within AI for Science and Government Directorate.
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.
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.
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.
This full-time post is offered on a fixed-term basis until 31 March 2023.

Please find below a link to the advert, job description and application form.
https://cezanneondemand.intervieweb.it/turing/jobs/research_associate_computational_social_science_18973/en/<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>

Closing date: 14 January 2022
Research Associate, Molecular Biology within AI for Science and Government Directorate.
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.

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.

This full-time post is offered on a fixed-term basis until 31 January 2025.

Please find below a link to the advert, job description and application form.
https://cezanneondemand.intervieweb.it/turing/jobs/research_associate_molecular_biology_18891/en/<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>

Closing date: 23 January 2022
_________________________________
Susan Davies
Coordination Manager, Web Science Institute<https://www.southampton.ac.uk/wsi/index.page?>
University Liaison Manager, The Alan Turing Institute<https://www.southampton.ac.uk/wsi/alan-turing-institute/alan-turing-institute.page>
Web Science Institute
University of Southampton
Southampton SO17 1BJ
M 07768 266464
https://www.southampton.ac.uk/wsi<https://www.southampton.ac.uk/wsi/index.page>

My working days are Monday to Thursday.

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