Data Study Group Principal Investigator

HOURS: Casual

CLOSES: Sunday 26 February 2023 at 23:59

The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence whose mission is to make great leaps in data science and artificial intelligence research in order to change the world for the better.

Role Purpose

The DSG Principal Investigator (DSG PI) will be required to take academic ownership of a singular DSG challenge. They are responsible for:

• Scoping the overall DSG challenge into something that will be suitable for DSG participants
• Supporting the DSG participants during the event and acting as quality control on what they write, code and developed solutions, (e.g., completeness and scientific integrity)
• Reporting to ensure the final report is of publishable quality for the Turing website, qualifying the outcomes and suggesting how the DSG project can be developed into a broader and longer-term research project.

This is an opportunity for early career researchers to gain valuable real-world experience working collaboratively with industry, government or third sector. Support and training will be offered in and around ethics, communicating with industry and project design.

Challenges:

Dstl – The Discovery project seeks to enable semi-automated horizon scanning to understand the shifting science and technology (S&T) landscape. Topic modelling is used to find topics and trends in content from academic journals for monitoring purposes, allowing the user to identify emerging technology

Leading Pharmaceutical Company – The project aims to develop a solution that can allow researchers to extract and consolidate actionable insights from published sources in near real-time leveraging natural language processing (NLP). This will be a proof-of-concept project focusing on extracting actionable insights

Biodiversity Challenge - This challenge presents an exciting opportunity for researchers to work on the UK’s largest publicly accessible source of biodiversity data. The challenge of this data set is considerable: heterogeneous sources of data, aspects of both spatial and temporal analysis.

Manufacturing Challenge - The project aims to develop an effective machine learning methodology capable of dynamic predications that will enable, at minimum, more effective optimisation of dynamic plants, hopefully leading to more optimal chemical plants can reduce environmental impact, by consuming less resources per unit of production.

Duties & Person Specification

Please see our portal for a full breakdown of the Job Description including duties and person specification.

Terms and Conditions

This is a zero hours position per project/challenge. The hourly rate is £25.

Time commitment is an average of 135 hours (however, this could increase or decrease dependant on the challenge), typically spread over 25 days in a 4 – 6 months period, but not evenly distributed.

Please see our jobs portal for full terms and conditions and how to apply.

Equality Diversity and Inclusion

The Alan Turing Institute is committed to creating an environment where diversity is valued and everyone is treated fairly. In accordance with the Equality Act, we welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability.

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