ARIA / CAiMIRA QUEST Graduate — NLP Mechanisms for Systematic Literature Reviews (NeutrinoReview production)

The position is a 12-month QUEST graduate fellowship within the ARIA/CAiMIRA joint WHO–CERN project to bring the NeutrinoReview prototype to production as part of automating systematic literature reviews and associated data analysis using AI methods. The role involves designing the production architecture, developing a roadmap and guidelines for responsible AI integration, and releasing NeutrinoReview as a general-purpose tool. The fellowship is aimed at candidates with strong ML/NLP, systematic review and full-stack/DevOps experience.

Monthly net stipend (6,372 or 7,004 CHF), 30 days paid leave plus 2 weeks closure, CERN health insurance, CERN Pension Fund membership, family/child allowances, relocation package, on-the-job and formal training including language classes, possibility to extend contract up to 36 months.

Applicants must be nationals of a CERN Member State or Associate Member State (certain nationalities are currently excluded). By the application deadline applicants must hold 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. Applicants must not have previously held a CERN fellow or graduate contract.

Apply online via CERN's application portal (SmartRecruiters) with CV, diploma/certificate and any relevant documents.