Explainable Artificial Intelligence and NLP Scientist (KTP Associate)


Job title: Explainable Artificial Intelligence and NLP Scientist (KTP Associate)

Company: University of Southampton

Job description: Job Information Organisation/Company

UNIVERSITY OF SOUTHAMPTON Research Field

Computer science

Mathematics Researcher Profile

Recognised Researcher (R2)

First Stage Researcher (R1) Country

United Kingdom Application Deadline

4 Jan 2024 – 00:00 (UTC) Type of Contract

Other Job Status

Full-time Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Decision Analytics & Risk

Location: Other
Salary: £34,980 to £42,978 per annum
Full Time Fixed Term until 31/03/2025
Closing Date: Thursday 04 January 2024
Interview Date: To be confirmed
Reference: 2558123TR

A GraduateData Scientist / Machine Learning Researcher is required to work with Greyfly.ai in the field of project management and AI. The Data Scientist / ML Researcher will be working to further innovate the design of Greyfly.ai’s Intelligent Project Prediction platform by harnessing the exciting new area of Explainable AI (XAI), to position them at the forefront of their industry.

About Greyfly.ai

Greyfly.ai is an innovative business with the vision of transforming project delivery by focusing on researching and developing Artificial Intelligence (AI) in project management to increase project success.

This will be part of a Knowledge Transfer Partnership (KTP), which is a collaborative project between Greyfly.ai and the University of Southampton, Southampton Business School. Support and expertise will be provided from both Greyfly.ai and both the Project Management and Decision Analytics and Risk departments with the Southampton Business School. KTPs are awarded and managed by Innovate UK.

As part of the KTP scheme, there is a £4,000 training budget for personal development required to enhance the project.

Find out more about Knowledge Transfer Partnerships here:

**This is a remote working position, based in the UK with the requirement for a once-a-month in-person attendance at a location determined by Greyfly.ai in Bristol.**

The GraduateData Scientist / ML Researcher will be required to undertake the following:

  • Take ownership of the proposed project work plan and manage throughout the project duration, working to deadlines and milestones.
  • Act as the conduit for the Explainable AI knowledge exchange between the University and Greylfy.ai
  • Present project progress against timescales to the project management committee quarterly.
  • Work with colleagues and stakeholders across the business to disseminate findings and technical progress accordingly.
  • Identify training and development opportunities relevant to themselves and the project’s success.

The successful GraduateData Scientist / ML Researcher will have the following skills, experience, and attributes:

  • The minimum academic requirement is a degree plus industry experience in Computer Science, Mathematics, Statistics, Data Science / Machine Learning (ML), AI, Explainable AI, or related areas.
  • An understanding of ML Algorithms, NLP, XAI, deep learning, and neural networks.
  • Knowledge of Project Management tools and techniques (Gantt charts, Risk Register, Benefits logs, etc) or an interest in developing project management knowledge.
  • Strong communication skills and techniques.
  • Eagerness to expand on existing technical strengths and grow commercial exposure and knowledge.

We welcome applicants from all sections of the community, regardless of gender, ethnicity, disability, or sexual orientation, and will give due consideration to applicants seeking flexible working patterns and to those who have taken a career break. The University has a generous maternity policy and onsite childcare facilities and offers a range of benefits designed to help maintain and support employees’ well-being and work-life balance.

Requirements

Additional Information

Work Location(s)

Number of offers available 1 Company/Institute UNIVERSITY OF SOUTHAMPTON Country United Kingdom City Southampton Geofield

Where to apply Website

Contact City

Southampton

STATUS: EXPIRED

Expected salary: £34980 – 42978 per year

Location: Southampton

Job date: Wed, 20 Dec 2023 07:20:26 GMT

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