Publisher
source

University of Luxembourg

Doctoral researcher in Machine Learning for Official Statistics University of Luxembourg in Luxembourg

Degree Level

PhD

Field of study

Machine Learning

Funding

Available

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Country

Luxembourg

University

University of Luxembourg

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Keywords

Machine Learning
Software Engineering
Computational Science
Statistics
Large Language Models

About this position

The University of Luxembourg is offering a doctoral researcher position in Machine Learning for Official Statistics within the Interdisciplinary Centre for Security, Reliability and Trust (SnT). The project is hosted by the Security, Reasoning and Validation (Serval) research group and is carried out in partnership with STATEC, the National Statistics Institute in Luxembourg.

The thesis topic is Exploring Large Language Models for Data-to-Text Problems. The research will examine how large language models and related machine learning methods can be adapted to tasks that combine text and structured data, such as statistical report generation and semantic search across historical statistics publications. The role also includes work on software engineering practices for machine learning, tabular machine learning, and large language models on structured data.

This PhD is part of a broader initiative at Serval and SnT to support the reliable deployment of machine learning systems through practical tools for industry and public-sector partners. The position offers an international research environment at the University of Luxembourg, with strong links to professional sectors, excellent infrastructure, and a multilingual, inclusive atmosphere.

Eligible candidates should have a Master’s degree in Computer Science. A background in machine learning or software engineering is an advantage, alongside strong programming and analytical skills. Experience in ICT is a plus. Applicants should also be comfortable working in teams, show initiative and critical thinking, and have knowledge of modern machine learning, especially large language models and generative AI. English fluency is required; French is a plus. Applicants must also meet the thesis-language requirement of at least B2 level.

The contract is fixed term for 36 months, full time, with a yearly gross salary of EUR 43,445. The application process requires a CV, cover letter, transcript of university-level results, and a 300-word research statement. Applications must be submitted online through the HR system and are reviewed on a rolling basis, so early application is encouraged.

Funding details

Available

What's required

Applicants should hold a Master in Computer Science; a major in machine learning or software engineering is an asset. Strong programming skills and strong analytical skills are required. Industry experience in information and communication technology is considered an advantage. Candidates should demonstrate commitment, teamwork, critical thinking, and motivation. Knowledge of machine learning, especially large language models and other generative AI models, is expected. Fluent written and verbal English is required; French is a plus. Applicants must demonstrate at least B2-level proficiency in the language of their thesis.

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