S|RSidharth Rony

Background

Experience

2025–Researcher, UNU-MERIT, Maastricht University. I apply network analysis, machine learning, text analysis and large language models to assess how digital and green technologies affect skills demand, employment and wage inequality in the EU, within the EU Horizon ST4TE project and a project for The Productivity Institute. Data liaison with Cedefop, Lightcast and the ST4TE consortium.
2022–2024Research Assistant, Centre for Economic Performance, London School of Economics. Assisted the policy evaluation team of the What Works Centre for Local Economic Growth, reviewing and synthesising evaluations of local economic policies.
2018–2024Teaching Associate, Royal Holloway, University of London. Ran the seminars and marked the assessments for Data Skills for Economists (R), Econometrics (R), Coding and Programming for Economists (Python) and Applied Economics and Policy.
2022Research Assistant, Royal Holloway, University of London. Assisted Dr Ija Trapeznikova on a project on how public-sector employment affects job creation in the private sector in Ghana, including meetings with the Ministry of Finance, the Fair Wages Commission and the Controller and Accountant General’s Office.
2021Consultant, OECD, Paris. Analysed and interpreted Lightcast job-posting data (100M+ advertisements) for several OECD projects, including the refinement of the OECD skills taxonomy with NLP-based classification.
2021Research Assistant, Royal Holloway, University of London. Assisted Prof. Arnaud Chevalier by collecting UK online job-advertisement data and extracting the relevant text with natural language processing.
2018Research Associate, Centre for Development Studies, Thiruvananthapuram, India. Led and coordinated a team of fourteen collecting and organising data from two districts of Kerala for the Kerala Migration Survey 2018.
2016Research Assistant, Maastricht University. Assisted Dr Christian Seel in his research on auction theory: categorising the literature, proofreading papers, data cleaning and analysis.
2011–2014Project Engineer, Wipro Technologies, Bangalore and Cochin, India. C developer in the Product Engineering Services department, designing and developing embedded systems in C and ARM assembly for several clients.

Education

2018–2024PhD in Economics, Royal Holloway, University of London. Thesis: Essays on Automation and Future of Skills.
2019–2020Doctoral coursework in Economics of Education, University of Zurich.
2014–2016MSc Economics and Financial Research, Maastricht University.
2007–2011BTech Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, India.

Grants and Awards

2022–2024Adzuna data award. Access to Adzuna’s archive of UK job advertisements for a study of how COVID-19 changed the skills employers ask for; lead researcher. The data underlie my job market paper.
2018–2024ESRC PhD studentship (SeNSS Doctoral Training Partnership), “Ageing, Automatization and the Future of Skills in the Labour Market”, with Prof. Arnaud Chevalier, in partnership with the OECD.
2019SeNSS Research and Training Grant, for the course in machine learning for social scientists at the Essex Summer School.
2012PES Shining Star award, Wipro Technologies, for outstanding performance in post-silicon validation.

Accreditation

2021–2026Accredited Researcher, Office for National Statistics. Approved to analyse de-identified UK government microdata in the ONS Secure Research Service.
2023Associate Fellow of the Higher Education Academy. UK professional recognition for university teaching.

References

Prof. Arnaud ChevalierProfessor of Economics, Royal Holloway, University of London (PhD supervisor). Arnaud.Chevalier@rhul.ac.uk
Prof. Melanie LührmannProfessor of Economics, Royal Holloway, University of London (PhD supervisor). Melanie.Luhrmann@rhul.ac.uk
Dr Tommaso CiarliSenior Researcher, UNU-MERIT, and University of Sussex. ciarli@merit.unu.edu