Associate/Assistant Professor in AI & Data Mining in History

About us

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. Founded in 2003, the University of Luxembourg is a research university focused on tomorrow's major societal challenges, including digital transformation, medicine and health, and sustainable and societal development. With over 1,000 doctoral candidates among 7,500 students as well as 300 professors, the University distinguishes itself with its international and multilingual character, an interdisciplinary approach, and a personalised learning environment.

The Luxembourg Centre for Contemporary and Digital History (C2DH) is an interdisciplinary research centre for the study, analysis and public dissemination of contemporary history of Luxembourg and Europe with a particular focus on digital methods and tools for doing innovative historical research. It serves as a catalyst for innovative and creative scholarship and new forms of public dissemination and societal engagement with history. For more information about C2DH, please visit: https://www.uni.lu/c2dh-en/

Your role

We are excited to announce a pioneering new faculty position at the Luxembourg Centre for Contemporary and Digital History (C2DH) that will explore the transformative potential of artificial intelligence in the field of historical research and teaching. As AI technologies continue to advance at a rapid pace, we believe it is essential to harness these powerful tools to deepen our understanding of the past and revolutionize the way we study and teach history. This groundbreaking role will be at the forefront of applying AI methodologies to unlock new insights from historical data, enabling us to ask and answer questions that were previously beyond the scope of traditional research methods, and at C2DH you will have a perfect environment in which to experiment and build.

As Professor of AI and History at C2DH you will be responsible for developing and leading an innovative research program that leverages AI technologies to push the boundaries of historical inquiry. You will apply machine learning, natural language processing, and other AI techniques to vast historical, multimodal datasets. By using AI to identify patterns, connections, and trends that might be missed by human researchers, you will offer new perspectives on the past. You will also teach relevant courses to our undergraduate and graduate students and actively participate in our Doctoral Education (Doctoral School of Social Sciences and Humanities and the Doctoral Training Unit on "Deep Data Science of Digital History"). Through your research and teaching, you will help to strengthen the position of the C²DH and the University of Luxembourg as an international leader in the field of digital history and in the application of artificial intelligence to the study of the past in specific.

Your profile

• You should hold a PhD degree in history, digital humanities, or data/computer science with a proven track record in working with historical data
• You should have an excellent track record of publications, conference papers, and public outreach in the field of digital history / digital humanities / data science
• You should have a clearly defined research program which responds to rapid developments in digital tools and methods, and which can build on a range of AI tasks, including those involving natural language processing, computer vision, and multimodal models
• You should have experience working in a deeply collaborative environment, where you may play different roles across different teams, including not just leadership but also support
• You should be proficient in English and either French or German. As a multilingual university, UL provides staff access to language courses. The University encourages its staff to learn the other language and provides access to language courses to this end
  
  

We value diverse perspectives and experiences and encourage candidates with unique backgrounds or career paths to apply.

Language requirements:
The University of Luxembourg is set in a multilingual context. The person hired on this position must be proficient in English. If not proficient in French, the candidate commits to follow intensive language courses allowing her/him to use French in teaching and research within two years. The University provides access to language courses to this end. The University encourages its staff also to learn German.

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

Submit application online including:

• Cover letter
• Detailed CV
• A publications list
• A code portfolio (e.g. link to GitHub or Hugging Face profile) if relevant
• Short descriptions of recent research projects
• Sample syllabi (maximum 3) for relevant past or future courses
• Contact information for three referees

Submit applications online addressed to Professor Andreas Fickers, Director of the C2DH. We ensure a full consideration for applications received by 15.01.2025. Applications by post or e-mail cannot be considered.

General Information:

• Contract Type: permanent in case of associate professor / 5 years fixed-term in case of assistant (tenure track)
• Work Hours: Full Time 40.0 Hours per Week
• Location: Campus Belval
  Associate professor
• Job Reference: I3-50013010

Gender equality:
In line with our values, the University of Luxembourg encourages an inclusive culture. We promote equality of opportunity, diversity and a working and learning environment in which the rights and dignity of everybody is respected. The University is committed to achieving gender parity among its academic staff. Should candidates present equivalent CVs, preference will be given to female candidates in all departments where gender parity is not yet achieved.