Contract type: Internship
Duration: 6 months
Your work environment
The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.
You will be part of the LIST IT for Innovative Services department
With a team of more than 100 highly skilled researchers and engineers from various disciplines, the ITIS Department of the Luxembourg Institute of Science and Technology (LIST), addresses the technological, organizational, human, and economic aspects of innovative IT services. Research areas are based on the innovation of services with a high level of information intensity and quality, allowing trust to be gained in their use and value to be generated around new business models.
Fake online reviews in e-commerce significantly affect online consumers, merchants, and market efficiency. The rise of fake news and artificial online reviews in social media are serious threats to the privacy and security of today's societies, economies, and democracies. These data security issues require specific data mining and machine learning tools to be detected, processed, and managed efficiently and in real-time. Within the TSS department of ITIS, the intern will have the responsibility of performing high quality applied research in the fields of machine learning (ML) on networks, i.e., large scale graphs.
The research topic is related but not limited to the implementation of selected state-of-the-art ML algorithms in the field of anomaly detection on networks modeling e-commerce systems or social networks.
The intern is expected to accomplish the following tasks:
The candidate should perform his/her research, envisaging a future publication in any international conference or journal.
Possible specific skills/knowledge required