Literature Review AI Automation

Role Overview

The Literature Review AI Automation role is part of the ARIA/CAiMIRA project, a joint WHO-CERN project that models the airborne transmission of respiratory pathogens and develops an automated, structured, and transparent systematic literature review process. The role will continue automating the systematic review process and associated data analysis using AI-based methods.

What You Will Do

Design the architecture and concept for the production version of NeutrinoReview, establish a detailed development roadmap, develop guidelines for the safe and responsible integration of AI into systematic review workflows, and release NeutrinoReview as a production-ready tool.

Why It Might Be a Fit

The ideal candidate will have extensive experience in ML/NLP-based data science, strong expertise in systematic literature review workflows and methodologies, and recognised expertise in AI-assisted research tools.

Requirements

• Extensive experience in ML/NLP-based data science
• Strong expertise in systematic literature review workflows and methodologies
• Recognised expertise in AI-assisted research tools
• Proficiency in full-stack development and DevOps practices
• Hands-on experience deploying applications on Kubernetes/OpenShift

Benefits

• Monthly net stipend of either 6372 or 7004 Swiss Francs per month
• 30 days of paid leave per year plus 2 weeks annual closure
• Coverage by CERN’s comprehensive health insurance scheme
• Membership of the CERN Pension Fund
• Family, child and infant monthly allowances
• Relocation package (installation grant and travel expenses)
• Possibility to extend contract up to 36 months
• On-the-job and formal training including language classes

Tagged as: Data Analysis