Publisher
source

University of Luxembourg

Postdoctoral Researcher in Applied Artificial Intelligence University of Luxembourg in Luxembourg

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
Country flag

Country

Luxembourg

University

University of Luxembourg

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Where to contact

Official Email

Keywords

Computer Science
Data Science
Information Technology
Deep Learning
Finance
Algorithm Design
Artificial Intelligence
Natural Language Processing
Software Engineering
Computational Finance
Programming Language
Large Language Models
Machine learning

About this position

The University of Luxembourg is offering a postdoctoral researcher position in Applied Artificial Intelligence. This full-time, 24-month role invites candidates to contribute to cutting-edge AI research with a particular focus on finance. The research will center on machine learning, large language models, and software engineering, aiming to advance the application of artificial intelligence in financial contexts.

Applicants are expected to have a PhD and demonstrate strong programming and analytical skills, as well as experience in relevant AI domains. The position provides an opportunity to work in a dynamic research environment at a leading European university, collaborating with experts in AI and finance. While funding details are not specified, the postdoctoral role is a paid, full-time appointment.

The position description does not mention a specific application deadline or provide detailed instructions for applying. Interested candidates should consult the University of Luxembourg's career portal for further information and application procedures.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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