Data Science Expert (f/m) - Ref: 24-26

The Luxembourg Institute of Socio-Economic Research

is recruiting a

Data Science Expert (f/m)

• Ref: 24-26
• Permanent employment contract at LISER
• Full-time, 40 hours/week
• Work location: Belval (Luxembourg)

LISER invites highly qualified and motivated applicants for the position of Data Science Expert within the Information Systems (IS) service which will play a key role in the implementation of state-of-the-art machine learning (ML), artificial intelligence (AI) and data science (DS) tools and services at LISER. The Data Science Expert will provide support to researchers across all departments and enhance LISER capabilities in data science, and AI literacy.

In addition to supporting researchers, the Data Science Expert will also conduct research, contributing to the development of the institute's data science capabilities.

Your Role

The tasks of the successful candidate will be divided into 3 mains areas as follows:

Research Support

• Provide expertise and assistance to researchers on data science solutions by helping them to understand their needs and tailor innovative solutions addressing their specific research questions;
• Collaborate with researchers to leverage these tools and services effectively within their future and ongoing projects;
• Contribute to the activities and the functioning of the LISER Competence Center on Data Science and Simulations (DSS).

Internal know-how development

• Help create and facilitate training sessions and workshops to enhance DS and AI competencies among institute staff, in collaboration with the DSS team;
• Recommend and promote the adoption of best practices in DS, ML, and AI to ensure high standards of research quality and reproducibility;
• Advise the Director of Information Systems in the development of the IS data science development plan, taking into account the latest advances in AI and DS.

Data science infrastructure facilities

• Develop, communicate and promote the use of advanced ML and AI tools in the institute's research projects, ensuring the adoption of the latest technologies;
• Contribute to the development and improvement of the institute's data science and computing infrastructure, in collaboration with the DSS team.

To keep abreast of the latest developments in DS, ML, and AI, and assess their potential impact on the institute’s research activities, you will:

• Engage with the broader community of data science to foster collaborations and partnerships;
• Share knowledge and strengthen the institute’s research network and collaborative opportunities;
• Undertake independent research projects, contributing to the institute’s scientific output and innovation.

Your Profile

• Master Degree in Data Science or in a scientific field relevant to LISER research areas;
• At least 5 years of solid experience in providing data science and computational support within scientific sectors relevant to LISER research areas;
• Proficiency in ML, AI, and HPC tools and methodologies, with a proven track record of successful implementation in research projects;
• Ability to work effectively in a multidisciplinary and multicultural environment, engaging with researchers from various fields;
• Proactive in developing and communicating innovative solutions and promoting the adoption of new technologies;
• Excellent organizational and communication skills, capable of conveying complex technical information to non-specialists;
• Fluency in English and preferably in French (experience in writing deliverables and reports, presentations and lead workshops).

LISER particularly encourages female researchers to apply

What we offer

• A dynamic and international research environment with attractive working conditions and a stimulating work environment ;
• Flexibility in the organisation of the working hours and the possibility of teleworking ;
• Competitive remuneration according to the Collective Bargaining Agreement in force (half of a 13th month salary, meal vouchers, etc.) ;
• Investment in career support and development (trainings, seminars, participation to international meetings and conferences);
• 32.5 days of annual leave for a full-time contract.

How to apply

Please submit your complete application in English via our online system: https://jobs.liser.lu/jobs :

• Curriculum Vitae ;
• Cover letter outlining your interests in line with the project (2 pages max) ;
• Copy of your Master’s degree diploma ;
• Two letters of reference (to be uploaded with the application documents or sent separately to recruitment@liser.lu).

Please note that the position will remain open until filled.

Would you have any work-related question, please contact Mr. Thierry KRUTEN at thierry.kruten@liser.lu.

For administrative matters, please contact Mrs. Vanya KIROVA at recruitment@liser.lu

Why LISER?

LISER is a publicly funded research institute located in Luxembourg and dedicated to applied empirical research in economic, social and spatial sciences. The Institute attracts top researchers from all over the world and high-level student training is a vibrant part of the Institute’s activities. LISER staff consists of approx. 200 employees, about 60% of the staff being researchers; mainly from the fields of economics, geography and sociology. The vision of the institute is to be a socio-economic research institute internationally recognised, focused on scientific excellence and societal impact, able to contribute through multi-disciplinary and intersectoral research, in an active and inclusive way to a sustainable and inclusive society at national and international level.

The institute is located on the new Belval campus in the south of Luxembourg (Cité des Sciences, Luxembourg), which hosts the University of Luxembourg and a substantial part of the country’s publicly funded research facilities, i.e. LISER, the Luxembourg Income Study (LIS) cross-national data centre, the Luxembourg institutes of Health (LIH) and of Science and Technology (LIST). Information on research in Luxembourg is accessible via the national EURAXESS platform.

LISER is an Equal Opportunity Employer