The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.Do you want to know more about LIST? Check our website:The AIRA Research Group, part of the Human-centered AI, Data and Software (HANDS) research unit, focuses on assessing and enabling trustworthy AI adoption through methods and tools for compliance, readiness, and performance evaluation.How will you contribute?We are seeking a highly motivated R&T Engineer to contribute to the implementation of its AI Technology Watch. This function plays a crucial role in monitoring, testing, and classifying AI technologies with a focus on sustainability and responsible adoption aligned with Luxembourg's National AI Strategy. The engineer will support LIST's mission to drive innovation and trustworthy AI uptake through evidence-based technology evaluation, benchmarking, and cataloging practices. The AI Technology Watch intends to set a systematic process used to monitor, analyze, and evaluate developments in artificial intelligence technologies relevant for the AI Factory. It supports stakeholders, project partners and AI Factory users, in staying ahead of the curve by identifying trends, emerging tools, potential risks, and opportunities related to AI. The work related to this position contributes directly to LIST's AI Strategy, enabling Luxembourg's public and private sectors to access curated, high-impact AI solutions through a comprehensive technology watch catalog.Main Responsibilities:· Detect emerging AI technologies(e.g., foundation models, edge AI, neuromorphic computing).· Spot industry adoption patterns and breakthrough research.· Identify, test, and evaluate AI solutions aligned with the AI Factory Services, Luxembourg's AI Strategy and EU priorities.· Understand and map the AI innovation ecosystem (startups, big tech, academia, consortia), tracking patents, publications, open-source projects, etc.· Establish a dialog with technical contributors in the AI Factory consortium to understand their needs and priorities in terms of AI solutions to be scoped, evaluated and catalogued· Maintain a structured and updated AI technology catalog supporting the AI Factory ecosystem.· Participate in experiments and feasibility evaluations across different domains, especially in the Green Economy vertical.· Collaborate with research teams to develop protocols, assess effectiveness, and document results.· Contribute to dissemination and presentation of results at relevant conferences and workshops.Is Your profile described below? Are you our future colleague? Apply now!EducationMaster's degree in computer science, data engineering, or related technical field.Experience and skills inTesting and experimentation with AI Technologies.Robust Python coding skills.Good understanding of AI technological trends.Strong communication, documentation, and team collaboration skills.Preferred SkillsExposure to data engineering tools (Apache Spark, Kafka, Airflow).Experience with MLOps, model deployment, or scalable data pipelines.Knowledge of advanced ML model serving frameworks (TorchServe, TensorFlow Serving, Triton Inference Server).Familiarity with AI risk assessment, robustness testing, or adversarial evaluation.Familiarity with AI safety, fairness, transparency, or regulatory principles (e.g., trustworthy AI, AI Act, model cards).Language skillsFluent in English. Knowledge of French is an asset.Your LIST benefitsAn organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projectsSustainable by design, empowering our belief that we play an essential role in paving the way to a green societyInnovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we doAn environment encouraging curiosity, innovation and entrepreneurship in all areasPersonalized learning programme to foster our staff's soft and technical skillsMulticultural and international work environment with more than 50 nationalities represented in our workforceDiverse and inclusive work environment empowering our people to fulfil their personal and professional ambitionsGender-friendly environment with multiple actions to attract, develop and retain women in science32 days' paid annual leave, 11 public holidays, 13-month salary, statutory health insuranceFlexible working hours, home working policy and access to lunch vouchersApply onlineYour application must include:A motivation letter oriented towards the position and detailing your experienceA scientific CV with contact detailsList of publications (and patents, if applicable)Contact details of 2 referencesPlease apply ONLINE formally through the HR system. Applications by email will not be considered.Application procedure and conditionsWe kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age, or disability.Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.REQUIREDLANGUAGESTo be considered for this position it is crucial that you have knowledge of the following languages
