Student CDD for our ADAPT Team (M/F)

Reference : ITIS-2020-035-ST

Type: Researcher
Contract type: Fixed term contract
Duration: 1 year; 8 hours/week
Place: Belval



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

The IT for Innovative Services (ITIS) department, with its 100 researchers and engineers, focuses on the digital transformation of operations in organizations with traditional environments and digital ecosystems, with the aim of improving their performance and innovation capacity. The common thread throughout ITIS is to develop the most efficient use of big data to ensure the most appropriate decision-making processes.

The department relies on the Data Analytics Platform: a hybrid infrastructure covering the entire range of data analytics activities. The platform is based on three pillars: a high-performance computing (HPC) infrastructure, a cognitive analytics pillar and an interactive visualization wall (Viswall).

The ADAPT research group in the DSA unit of the “IT for Innovative Services” (ITIS) department of LIST, is looking for a part-time work student, to support researchers working on the topic of smart / cognitive Internet of Things.




The task of the student is to assist researchers in the DSA/ADAPT group with the development of smart cognitive IoT things, where we aim to bring cognitive capabilities in small objects to infuse more human awareness into the devices and environments we interact with. This approach requires to include or adapt Artificial Intelligence methods and algorithms to this specific context.

For example, methods include neural networks to recognize objects or events, rule-based systems, or planning systems for general problem solving. Typically such things will be implemented on Arduino-compatible hardware or the like, integrating or connected to different sensors and actuators.



  • Student in Master of Computer Science or Engineering Sciences, or in an Engineering School, including teaching related to Artificial Intelligence, Cognitive Sciences, Electronics, Robotics or Mechatronics
  • Strong will to work in the research and innovation domain
  • Proven experience in programming skills: C (C++), Python
  • Experience with Arduino programming
  • Knowledge in Artificial Intelligence and/or Embedded Systems is an asset
  • Fluency in English is mandatory
  • Good command of either French, German or Luxemburgish is an asset


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Dr Christoph STAHL
Dr Christoph STAHL

Dr Yannick NAUDET
Dr Yannick NAUDET