ARIA - Literature Review AI Automation - European Organization for Nuclear Research (Geneva)
About this position
The summary below is published by European Organization for Nuclear Research on the official vacancy notice. Our own analysis — salary realism, comparable openings, career trajectory, language profile — follows further down the page.
- Full-time - Compensation: CHF 6,372 - CHF 7,004 - monthly
ARIA/CAiMIRA is a joint WHO-CERN project that models the airborne transmission of respiratory pathogens and develops an automated, structured, and transparent systematic literature review process to inform public health policy and guidance. It builds on CERN's expertise in data management and knowledge systematisation. The planned second phase will extend the project to other airborne pathogens and to indoor air quality.
Work Package 4, "NLP Mechanisms for Systematic Literature Reviews," will continue automating the systematic review process and associated data analysis using AI-based methods. Within this work package, the QUEST graduate will spend 12 months bringing the NeutrinoReview prototype to production.
Your 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.
Your…
Excerpt shown; read the full notice on the official page. The structured breakdown below covers the key facts.
Key responsibilities
According to the vacancy notice, the role centres on the following duties:
- 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
Are you eligible?
Check these requirements from the notice before investing time in an application:
- Education: Master's degree or PhD in Data Science or related field
- Experience: 2 to 6 years of post-graduation professional experience with Master's degree, or no more than 3 years of post-graduation professional experience with PhD
- Languages: English (spoken…), French
- Key skills: Advanced proficiency in Python, JavaScript and React, UI/UX 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, Full-stack development, Kubernetes/OpenShift deployment
- Eligibility: National of a CERN Member or Associate Member State. Never had a CERN fellow or graduate contract before.
Contract and working arrangements
Contract duration: 12 months, with a possible extension up to 36 months maximum.
Working arrangements: Hybrid.
Hiring unit: ARIA/CAiMIRA project, Work Package 4.
Position details
- Reference
- IT-PW-WDA-2026-165-GRAP
- Last Verified
- 21 October 2026
Position overview
This is the official EU Careers listing for ARIA - Literature Review AI Automation at CERN based in Geneva (Other). The vacancy reference is IT-PW-WDA-2026-165-GRAP. The role falls under the Research domain.
- Full-time - Compensation: CHF 6,372 - CHF 7,004 - monthly
ARIA/CAiMIRA is a joint WHO-CERN project that models the airborne transmission of respiratory pathogens and develops an automated, structured, and transparent systematic literature review process to inform public health policy and guidance. It builds on CERN's expertise in data management and knowledge systematisation. The planned second phase will extend the project to other airborne pathogens and to indoor air quality.
Work Package 4, "NLP Mechanisms for Systematic Literature Reviews," will continue automating the systematic review process and associated data analysis using AI-based methods. Within this work package, the QUEST graduate will spend 12 months bringing the NeutrinoReview prototype to production.
Your 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.
Your profile:
- 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.
Skills:
- Programming: Advanced proficiency in Python, JavaScript and React. - UI/UX: Design and development of intuitive, user-centred interfaces. - Systematic reviews: Strong expertise in systematic literature review workflows and methodologies. - AI/NLP: In-depth experience designing and deploying AI and NLP pipelines. - DevOps: Solid working knowledge of DevOps practices, including CI/CD and containerisation. - Spoken and written English, with a commitment to learn French.
Eligibility criteria:
- You are a national of a CERN Member or Associate Member State. - You have a professional background in Data Science (or a related field) and have either: - a Master's degree with 2 to 6 years of post-graduation professional experience; - or a PhD with no more than 3 years of post-graduation professional experience.
- You have never had a CERN fellow or graduate contract before.
Job closing date: 09.11.2026 at 23:59 CET.
Contract duration: 12 months, with a possible extension up to 36 months maximum.
Working hours: 40 hours per week
Job flexibility: Hybrid
Target start date: 01-December-2026
Job reference: IT-PW-WDA-2026-165-GRAP
Field of work: Data Science, AI & Analytics
Benchmark job: 100020 - Research Physicist
Global Benefits
- A monthly net stipend of either 6372 or 7004 Swiss Francs per month depending on your degree. - 30 days of paid leave per year plus 2 weeks annual closure. - Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund. - Family, child and infant monthly allowances depending on your individual circumstances. - A relocation package (installation grant and travel expenses) depending on your individual circumstances. - Possibility to extend your contract up to 36 months. - On-the-job and formal training including language classes.
Overview of CERN -Discover a world where the impossible is made possible!
At CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive.
Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success.
If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe!TAKE PART!
More information about us, here:careers.cern
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Application timeline
This vacancy was first listed on 21 October 2026, today.
No closing date is published in the source feed for this position. EU vacancies typically remain open for four to eight weeks; check the official vacancy notice for the cut-off date and time.
Last verified against the EU Careers feed on 21 October 2026.
Where to learn more
For headcount, mission, and other open vacancies at CERN see the CERN institution page; for the cost of living, correction coefficient, and other postings in Geneva see our Geneva location page; for related vacancies in the Research field browse our Research domain page.
New to EU careers? Our beginner's guide walks through entry routes, EPSO competitions, and what to prepare. For application logistics see application tips and EPSO competitions.
Career trajectory
Language profile
Application cadence
Visit the official European Organization for Nuclear Research website
Source: This job listing was sourced from the officialEU Careers portal (EPSO). First published: .