Research Fellow (Planetary Networks of AI Systems - WP2)

The University of Edinburgh
Midlothian
1 year ago
Applications closed

Related Jobs

View all jobs

Research Fellow in Data Science

Research Fellow in Applied Machine Learning

Reader in Artificial Intelligence

Professor of Artificial Intelligence & AI Leadership

Reader in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security)

Reader in Artificial Intelligence

UE07: £40,247.00 - £47,874.00 Per Annum.

CAHSS / School of Social & Political Science.

Fixed Term Contract - 42 Months - From March 2025 - August 2028.

Full Time - 35 Hours Per Week.

The Opportunity:

As part of the UKRI-funded project ‘Planetary Networks of the Artificial Intelligence Systems’ you will lead on Work Package 2 ‘Labour Market Impacts’ which involves ethnographic work with data workers (i.e., behind the scenes human labour for AI) to better understand the working conditions and decent work implications of AI training activities in the Majority World. The role requires 10 months of long grounded ethnographic fieldwork in Colombia, Kenya, Uganda, and India. 

This post is full-time (35 hours per week). We are open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote (within the UK) and regular on-campus working. 

Your skills and attributes for success:

A PhD (or equivalent), awarded or close to completion, in a relevant social science including geography, sociology, anthropology, development studies, economics, or other related fields, with training or skills relevant to the project (Desirable). Demonstrable post-doctoral or equivalent work experience, particularly critical engagement with conceptual works on value chains or production networks, political economy, job quality and working conditions, labour relations, and/or social movements, and knowledge of the literature and theories around platform studies, data work, critical data studies.  Commensurate with the candidate’s career level, track record of or the ability to publish in highly-reputed peer-reviewed journals. Proven and relevant experience of conducting grounded fieldwork in any of Colombia, Kenya, India, Uganda, and using surveys, in-depth interviews, and participant observation. Ability to travel internationally in Colombia, Kenya, Uganda, and India for ethnographic fieldwork.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.