Graduate Researcher in AI and Automation

Job Posting Organization:
CERN, the European Organization for Nuclear Research, was established in 1954 and is one of the world's largest and most respected centers for scientific research. With a mission to push the frontiers of science and technology, CERN employs a diverse workforce of over 2,500 staff members and thousands of scientists from around the globe. The organization operates in multiple countries and is known for its groundbreaking work in particle physics and engineering, fostering an environment where innovation and collaboration thrive. Diversity is a core value at CERN, and it remains central to their mission and continued success, as they strive to create a dynamic and inclusive community that encourages curiosity and skills development.

Job Overview:
The position involves working on the ARIA/CAiMIRA project, a collaborative initiative between WHO and CERN aimed at modeling the airborne transmission of respiratory pathogens. The successful candidate will focus on automating the systematic literature review process using AI-based methods, specifically within Work Package 4, which is dedicated to developing NLP mechanisms for systematic literature reviews. The role requires bringing the NeutrinoReview prototype to production, which is a tool designed to enhance public health policy and guidance through structured literature reviews. The candidate will be responsible for designing the architecture for the production version of NeutrinoReview, establishing a development roadmap, and ensuring the safe integration of AI into review workflows. This position offers an opportunity to contribute to significant advancements in public health and indoor air quality research.

Duties and Responsibilities:

• Design the architecture and concept for the production version of NeutrinoReview, ensuring it meets the needs of various stakeholders.
• Establish a detailed development roadmap with clear milestones to track progress and ensure timely delivery of project objectives.
• Develop comprehensive guidelines for the safe and responsible integration of AI into systematic review workflows, addressing ethical considerations and best practices.
• Release NeutrinoReview as a production-ready, general-purpose tool that can be utilized in domains beyond public health, including IT and physics.
• Collaborate with interdisciplinary teams to gather requirements and feedback for continuous improvement of the tool.
• Conduct training sessions and workshops to educate users on the functionalities and benefits of NeutrinoReview.
• Monitor and evaluate the performance of the tool post-deployment, making necessary adjustments based on user feedback and technological advancements.

Required Qualifications:

• Extensive experience in machine learning (ML) and natural language processing (NLP)-based data science.
• Strong expertise in systematic literature review workflows and methodologies, demonstrating a thorough understanding of the processes involved.
• Recognized expertise in AI-assisted research tools, showcasing the ability to leverage technology for enhanced research outcomes.
• Proficiency in full-stack development and DevOps practices, ensuring the ability to manage both front-end and back-end development tasks.
• Hands-on experience deploying applications on Kubernetes/OpenShift, indicating familiarity with modern deployment practices and container orchestration.

Educational Background:
Candidates must possess a professional background in Data Science or a related field. The educational requirements include 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. This educational foundation is essential to ensure that candidates have the necessary theoretical knowledge and practical skills to succeed in this role.

Experience:
The ideal candidate should have a significant level of experience in data science, particularly in ML and NLP applications. A minimum of 2 years of professional experience is required for those with a Master's degree, while candidates with a PhD should have no more than 3 years of relevant experience. This experience should include practical applications of systematic literature reviews and the development of AI tools, demonstrating a strong capability to contribute to the project's objectives.

Languages:
Fluency in spoken and written English is mandatory for this position, as it is the primary language of communication at CERN. Additionally, candidates should have a commitment to learn French, which is beneficial for integration into the local community and workplace.

Additional Notes:
The contract duration for this position is 12 months, with the possibility of extension up to a maximum of 36 months. The working hours are set at 40 hours per week, and the job offers a hybrid flexibility model. The target start date for the position is December 1, 202

• The job reference is IT-PW-WDA-2026-165-GRAP, and it falls within the field of Data Science, AI & Analytics. Compensation includes a monthly net stipend ranging from 6372 to 7004 Swiss Francs, depending on the candidate's degree, along with 30 days of paid leave per year and additional benefits such as comprehensive health insurance, family allowances, and a relocation package.