Research

ARIA - Literature Review AI Automation - European Organization for Nuclear Research (Geneva)

Contract TypeOther

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

Career progression for this grade staff is governed by Articles 44 to 46 of the Staff Regulations (consolidated text on EUR-Lex) and Annex IB on the promotion procedure. Step increases are automatic every two years (Art. 44); grade promotion is competitive, based on the appraisal exercise (Art. 45) and the Career Development Review. For roles at CERN, progression to the next grade typically takes three to five years on merit, with two-yearly step increases in between. Article 46 governs the classification at recruitment, which sets the starting step within the grade (usually step 1 for external recruits without prior EU service, step 2 or 3 where relevant professional experience is recognised).
Mobility within the institutions is encouraged via the inter-institutional and intra-institutional vacancy publication system: temporary agents who pass the probation period and reservists from EPSO laureate lists can typically apply to internal vacancies after one year of service. Lateral moves between Directorates-General reset the seniority clock for promotion only if the new post carries a different grade.

Language profile

Beyond the formal language requirements stated in the vacancy notice, the day-to-day working languages at this employer are English and French in roughly equal measure, with German appearing in some technical files. Internal meetings and most policy drafting in Brussels run in English; French remains the preferred internal language in Luxembourg-based services and parts of DG TRADE.

Application cadence

CERN has not advertised another comparable role with the same grade and Research signature in the past twenty-four months. This opening has rarely been seen on the EU Careers feed and may be the first such posting in our two-year window. Applicants who pass the eligibility checks should not assume the same profile will reopen on a predictable cadence.

Source: This job listing was sourced from the officialEU Careers portal (EPSO). First published: .

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