AI-Driven Evidence Synthesis Research Associate

SEI – Stockholm Environment Institute; Stockholms kommun; On-site; SEK 550,000 - 750,000; Full time

Benefits offered by this job

Collective Agreement pension and other

Annual healthcare contribution and健康检查

Professional growth opportunities

Flexible hours 37.5-hour week and many

Support for tackling environmental and

Job summary

Stockholm Environment Institute (SEI) seeks an early-career researcher to combine hands-on evidence synthesis with AI-driven approaches. You will develop workflows in Python and/or R for screening, extraction and classification, and evaluate ML/NLP methods on environmental literature.

You will collaborate across environmental, sustainability, climate, energy and social science domains, documenting methods for transparent, reproducible research while training and mentoring team members.

Qualifications

• Strong analytical and programming skills with interest in evidence synthesis methods.
• Experience handling large volumes of structured and unstructured text.
• Experience applying ML, NLP or LLMs to text classification, information extraction or eligibility screening.
• Knowledge of evidence synthesis methodology.
• Interest in sustainability or environmental research.

Responsibilities

• Conduct and support manual literature searching, screening and (meta)data extraction for evidence synthesis projects, working with large volumes of scientific publications and grey literature.
• Develop and maintain reproducible workflows in Python and/or R for screening, extraction, classification, quality-checking, cleaning and harmonization of textual and bibliographic data.
• Apply and evaluate machine learning, natural language processing and LLM-based methods for text classification, information extraction and document analysis.
• Validate automated and Al-generated outputs against human decisions, quantifying errors, uncertainty and potential biases.
• Document methods, decisions and validation procedures to support transparent and reproducible research. Work collaboratively with researchers across environmental, sustainability, climate, energy and social science.
• Experience with cross-disciplinary collaboration and communicating complex methods to non-technical audiences.

Skills

Python

R

GitHub

NLP

Machine Learning

Text Classification

Information Extraction

Data Analysis

Evidence Synthesis

Research Programming

Education

Master's degree in data science

Master's degree in sustainability science

Tools

GitHub

R (tidyverse)

Pandas

scikit-learn

SpaCy

Job description

Stockholm Environment Institute (SEI) seeks an early-career researcher to combine hands-on evidence synthesis with AI-driven approaches. You will develop workflows in Python and/or R for screening, extraction and classification, and evaluate ML/NLP methods on environmental literature.

You will collaborate across environmental, sustainability, climate, energy and social science domains, documenting methods for transparent, reproducible research while training and mentoring team members.