ARIA - Literature Review AI Automation

The ARIA project is a joint WHO-CERN initiative focused on automating systematic literature reviews using AI and NLP to inform public health policy. The role involves developing the NeutrinoReview tool to production, extending its application beyond public health to other domains such as IT and physics.

Responsibilities

• Design the architecture and concept for the production version of NeutrinoReview.
• Establish a detailed development roadmap with clear milestones.
• Develop guidelines for the safe and responsible integration of AI into systematic review workflows.
• Release NeutrinoReview as a production-ready, general-purpose tool for domains beyond public health, including IT and physics.

Requirements

• You are a national of a CERN Member State or Associate Member State, excluding Pakistani, Lithuanian, Latvian, Cypriot, Croatian and Turkish nationals due to membership agreement limits.
• By the application deadline, you have a master’s degree with 2 to 6 years of professional experience since graduation or a PhD with a maximum of 3 years of professional experience since graduation.
• You are not eligible with only a bachelor’s degree.
• You have never had a CERN fellow or graduate contract before.
• 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.
• Advanced proficiency in Python, JavaScript and React.
• Design and development of intuitive, user-centred interfaces.
• Strong expertise in systematic literature review workflows and methodologies.
• In-depth experience designing and deploying AI and NLP pipelines.
• Solid working knowledge of DevOps practices, including CI/CD and containerisation.
• Spoken and written English, with a commitment to learn French.

Skills

• Machine Learning
• Natural Language Processing
• Data Science
• Systematic Literature Review
• AI-assisted Research Tools
• Full Stack Development
• DevOps Practices
• Kubernetes Deployment
• Openshift Deployment
• Python Programming
• JavaScript Programming
• ReactJS Development
• User-centred Interface Design
• AI Pipeline Design
• NLP Pipeline Design
• Continuous Integration
• Continuous Deployment
• Containerisation

Languages

English, French