PhD Candidate in Machine Learning for Official Statistics
About the Opportunity
The University of Luxembourg’s Interdisciplinary Centre for Security, Reliability and Trust (SnT) is seeking a PhD candidate to contribute to a research project focused on applying machine learning techniques for official statistics.
You will work with a team of experts on a project related to adapting large language models to tasks mixing text and structured data.
The team you will be working with:
* Dr. Maxime Cordy (supervisor)
Key Responsibilities:
* Applying software engineering practices for machine learning
* Developing tabular machine learning solutions
* Integrating large language models with structured data
The position holder will be required to perform the following tasks:
1. Conducting literature surveys and establishing state-of-the-art;
2. Developing experimental facilities where required;
3. Planning, executing, and analyzing experiments and simulations;
4. Contributing to project deliverables, milestones, demonstrations, and meetings;
5. Disseminating results at international scientific conferences/workshops and peer-reviewed publications.
Qualifications:
* Bachelor's or Master's degree in Computer Science; Major in machine learning or software engineering is an asset;
* Strong programming skills;
* Strong analytical skills;
* Industry experience in information and communication technology will be considered as an advantage;
* Commitment, team working, a critical mind, and motivation are skills that are more than welcome;
* Knowledge of both the basics and the latest developments of machine learning, in particular large language models and other generative AI models.
Requirements:
* Familiarity with deep learning frameworks like TensorFlow or PyTorch;
* Experience with Python programming;
* Good knowledge of Unix/Linux operating system;
* Familiarity with containerization technologies like Docker.
We offer:
* A multilingual and international environment.
* A modern and dynamic institution with a personal atmosphere.
* Closeness to European institutions, innovative companies, and the Luxembourg labour market.
How to Apply
Please submit your application formally through the HR system. Applications sent by Email will not be considered.