[Turing-Southampton] Turing Data Study Group – DSG PIs – an opportunity for early career researchers to engage with the Turing Institute

[Susan Davies]

Dear all

The Turing is offering an exciting opportunity for early career researchers and post-docs.

The Data Study Group (DSG) PI is an opportunity to work with an industrial, government or 3rd sector organisation. They will scope and shape a challenge for the Turing’s DSG<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turing.ac.uk%2Fcollaborate-turing%2Fdata-study-groups&data=01%7C01%7C%7C5cbc90a449174ede3fae08d7a4085c3a%7C4a5378f929f44d3ebe89669d03ada9d8%7C0&sdata=oBgXgWgEbzxXtpOW3yOG%2FCGqADTFhu4VGIT3SCD7qQU%3D&reserved=0> with potential for continued and expanded follow up work after the event. The Turing will administrate contracts, IT and researchers, and fully support the DSG PI, while their sole focus will be on the scientific questions to be investigated. Please see the PI documents attached for further information or visit  https://www.turing.ac.uk/collaborate-turing/data-study-groups/get-involved-pi<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turing.ac.uk%2Fcollaborate-turing%2Fdata-study-groups%2Fget-involved-pi&data=01%7C01%7C%7C5cbc90a449174ede3fae08d7a4085c3a%7C4a5378f929f44d3ebe89669d03ada9d8%7C0&sdata=jQoTKyrSSZKjJKL%2FOIiKKe4vYQJUZuUB34WSrAMlSTs%3D&reserved=0>.

This is an exceptional opportunity to

·        Build industry connections whilst working alongside challenge owners

·        Generate projects from loosely defined questions

·        Work at the cross section of industry and academia

·        Be involved in multidisciplinary teams

·        Get involved with the Turing Institute

Three are 3 exciting PI opportunities.  To apply candidates should send their CV and brief cover letter explaining suitability to datastudygroup at turing.ac.uk<mailto:datastudygroup at turing.ac.uk> by Thursday 6th February.  If you do apply, please let me know.

The challenges are:

Dstl<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.gov.uk%2Fgovernment%2Forganisations%2Fdefence-science-and-technology-laboratory&data=01%7C01%7C%7C5cbc90a449174ede3fae08d7a4085c3a%7C4a5378f929f44d3ebe89669d03ada9d8%7C0&sdata=4koFypIAkE42Gop%2FTgwGCdiCS8zR7za6EzXb%2BZU%2FudU%3D&reserved=0>
Challenge: Mitigating bias in models developed using machine learning with existing reproducible analysis pipelines in various areas such as image detection and relevance analysis
Useful Skills: fairness metrics, bias, model comparison and validation, ML piplines

Greenvest<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.greenvestsolutions.com%2F&data=01%7C01%7C%7C5cbc90a449174ede3fae08d7a4085c3a%7C4a5378f929f44d3ebe89669d03ada9d8%7C0&sdata=NaqP3YzWF5b0aAwbLz%2FxgakLGXHUbLVlV8t4sGAC4NQ%3D&reserved=0>
Challenge: Predicting solar energy generation using metrological quantities and satellite images
Useful Skills: time series, spatio-temporal pattern prediction, functional data analysis, satellite images

Shield Digital
Challenge: Detecting illegal online pharmacies and vendors of counterfeit prescription medication
Useful Skills: neural networks, text and network embeddings, representation learning (on networks and texts), graph algorithms

Best wishes

Susan
_____________________________________________
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>
Room 3041, Building 32
Web Science Institute
University of Southampton
Southampton SO17 1BJ

023 8059 3523 | 07768 266464


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