Requirements: English
Company: Universit du Luxembourg
Region: Esch-sur-Alzette , Luxembourg District
About the FSTM
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine.
Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in.
Your role
The AI Factory (L-AIF) is a national flagship initiative that aims to foster a robust and inclusive AI ecosystem in Luxembourg by bridging education, research, industry, and society. It focuses on building AI skills, promoting trustworthy AI, and accelerating innovation through targeted training, micro-credentials, public engagement, and industry collaboration. Within this initiative, the Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg plays a leading role in developing AI training programmes, coordinating talent development activities, and supporting outreach and communication efforts. As the leader of the Work Package on Talent Development, FSTM is responsible for designing sector-specific courses, managing the creation of micro-credentials, and organising events such as hackathons and seminars, in close collaboration with academic and industry partners.
Your Responsibilities:
- Contribute to the design, development, and evaluation of AI training programmes and micro-credential courses within the AI Factory (L-AIF) project
- Conduct research on the integration of AI education and skills development in sector-specific contexts (e.g. finance, space, cybersecurity, green economy) :
- Identify needs of the different sectors and develop concepts for each community
- Collaborate with academic and industry partners to align training content with real-world applications and labour market needs
- Support the development of pedagogical content for MOOCs, workshops, and blended learning formats
- Participate in hackathons, workshops, and AI public engagement events to help transfer knowledge and foster community interaction
- Analyse trends and emerging practices in AI education, talent development, and lifelong learning
- Contribute to scientific publications, reports, and communication materials related to the project
- Assist in supervising students and coordinating collaborative research and training activities
For further information about the vacancy please contact Julien Schleich, Tel. +352 46 66 44 5337, email:
Your profile
- PhD in Artificial Intelligence, Data Science, Educational Technology, Computer Science, or a related field
- Solid research background in one or more AI domains, with an interest in interdisciplinary and applied research
- Experience in developing or contributing to educational content, online training materials, or academic courses
- Strong communication skills and an ability to engage with stakeholders across academia, industry, and policy
- A track record of publications in relevant fields; experience with European research or education projects is an advantage
- Ability to work both independently and as part of a collaborative, multi-partner team
- Excellent written and spoken English; knowledge of French or German is considered a plus
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 (in PDF format) should include: