[Fellows-Southampton] Turing Opportunities for Early Career Researchers

Susan Davies sdd1 at soton.ac.uk
Fri Jun 5 15:31:27 BST 2020


Dear Turing Fellows,

The Turing is offering an exciting opportunity for your early career researchers and post-docs colleagues. The Data Study Group (DSG) PI is an opportunity for your colleagues 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%2Fget-involved-challenge-owner&data=01%7C01%7C%7C2fea6c4d2e6f43817de908d8095d21ec%7C4a5378f929f44d3ebe89669d03ada9d8%7C0&sdata=yJaEmK%2BGEVFAEfroRkvsSrcfgTaUAwkYaziFlsk7%2BWk%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. 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


The role is unpaid and will last around 6 months, on average a couple of hours a week (please see guide for a more detailed estimate). Where possible, the Turing will be looking to do fully-fledged follow-on projects with the partnering organisations, with the DSG PI having the first right of refusal to continue their involvement. This can lead to further funding, papers and wider engagements for your home institutions with industry as well as REF-able projects.

Current opportunities are:


  *   Greenvest<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.greenvestsolutions.com%2F&data=01%7C01%7C%7C2fea6c4d2e6f43817de908d8095d21ec%7C4a5378f929f44d3ebe89669d03ada9d8%7C0&sdata=r6qpLHyg%2FQMEW0TZ8dMa6836Pb2G8PymOvbrzViDMeM%3D&reserved=0>: Predicting solar energy generation using metrological quantities and satellite images.

             Useful skills: Time series, spatio-temporal pattern prediction, functional data analysis, satellite images


  *   CatsAI<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.catsai.co.uk%2F&data=01%7C01%7C%7C2fea6c4d2e6f43817de908d8095d21ec%7C4a5378f929f44d3ebe89669d03ada9d8%7C0&sdata=KSn4L9EC3s28wcznJRZemjBZISGQ3cnbzHYQ107P4bs%3D&reserved=0>: The impact of weather on bakery sales - uncovering explanations from a black box model.


            Useful skills: Counterfactuals and explainability models

Deadline for applications: 18 June


  *   Register your interest for various challenges brought together through GSMA<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.gsma.com%2F&data=01%7C01%7C%7C2fea6c4d2e6f43817de908d8095d21ec%7C4a5378f929f44d3ebe89669d03ada9d8%7C0&sdata=d0XIJ1tVMt1IMIyiNX8w8tzKApW5Rka4nTsm%2BBgBcXk%3D&reserved=0> (GSMA represents the worldwide mobile communications industry) set to run in the December 2020 and April 2021 Data Study Group. This will see a selection of mobile operators present their challenges relating to experimenting and deploying machine learning and other AI techniques at scale.



If you want to be DSG PI for this event you will need to help review the challenges put forward. Deadline: 23 June


To register your interest or to apply by submitting your CV and a brief cover letter please email datastudygroup at turing.ac.uk<mailto:datastudygroup at turing.ac.uk>.

_____________________________
Jules Manser
Project Manager - Data Study Groups<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turing.ac.uk%2Fcollaborate-turing%2Fdata-study-groups&data=01%7C01%7C%7C2fea6c4d2e6f43817de908d8095d21ec%7C4a5378f929f44d3ebe89669d03ada9d8%7C0&sdata=sbWdBi1q0hk49JzbWo5iWdylef%2BgBH68bq1%2BfDtOJMQ%3D&reserved=0>
T  +44 (0)20 3862 3312
jmanser at turing.ac.uk<mailto:jmanser at turing.ac.uk>
_____________________________
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