Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Research Fellow (Planetary Networks of AI Systems - WP1)

The University of Edinburgh
Midlothian
1 year ago
Applications closed

Related Jobs

View all jobs

Research Fellow, Data Science for Aging & Stroke

Research Fellow in Data Science

Research Fellow in Data Science

Research Fellow in Data Science

Research Fellow in Data Science

Research Fellow: Machine Learning for Multi-scale, X-ray Mapping of the Human Brain

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 1 ‘Value Chains of AI’ which involves surveys and interviews with firms and start-ups to build a better understanding of the data work value chains, actors involved, and the development implications in respective case study countries. The role requires 10 months of long grounded ethnographic fieldwork in Colombia, Kenya, Uganda, and India.

This post is fixed term from 1 March 2025 to 31 August 2028.

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, socio-technical systems, and organisational behaviour, 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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.