University of Luxembourg

About us

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Luxembourg Centre for Socio-Environmental Systems strives to grow into an internationally recognised research hub for a sustainable and equitable world. Our goal is to help societies to transition to environmentally friendly and just conditions. At the core is the recognition that global environmental disruptions such as climate change, biodiversity loss, and resource depletion are closely linked with societal systems. To address these complex issues, we take a systemic approach and study the interconnectedness of human activities and the environment. Our mission is to develop sustainable, socially just, and environmentally friendly solutions by bridging disciplines and fostering collaboration between researchers, policymakers, and society.

Your role

• Leading innovative data management strategies for LCSES, including acquisition from international data providers and public resources
• Creating and overseeing data storage solutions, ensuring internal and external accessibility of data products
• Developing LCSES’s geodata infrastructure, socio-environmental data cube, including establishing a robust GitLab environment
• Supervising the development of new data products and user-friendly web applications
• Serving as the central point of contact for data-related inquiries within LCSES
• Coordinating, supervising, and enhancing the capabilities of the Data Science team
• Represent the Data Science Team in LCSES management board

For further inquiries, please contact Prof. Ralf Seppelt, ralf.seppelt@uni.lu.

Your profile

You’ll be able to demonstrate experiences in management environmental data in different projects, and meet the following qualifications:

• PhD in Data Science, Environmental Science, or related disciplines
• Proven expertise in environmental science and data-driven research as PostDoc
• Experience in acquiring third party funding in the relevant fields of data science
• Enthusiasm for applying advanced data science methods including AI-based approaches to environmental challenges and scientific evidence synthesis

Technical Skills:

• Extensive experience in managing and integrating heterogeneous datasets
• Proficiency in agile methodologies for team management and project execution
• Knowledge of geospatial data infrastructure and data cube technologies is an asset

Soft Skills:

• Excellent communication and interpersonal skills
• Creativity, strategic thinking, and strong organizational abilities
• Motivation to build a team, manage, and actively collaborate in interdisciplinary teams
• Ability to consistently meet deadlines through organized, methodological, pragmatic, and effective work practices
• Fluency in English is required. French or German is considered an asset

We offer

• Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR)
• A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …

How to apply

Applications should include:

• Curriculum Vitae
• Cover letter
• Contact details of three professional references

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

General information:

• Contract Type: Fixed Term Contract
• Work Hours: Full Time 40.0 Hours per Week
• Location: Campus Belval
• Internal Title: Research scientist
• Job Reference: UOL07443

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