Research engineer in the field of Data analytics and Machine learning for digital transformation in industry 4.0 (M/F)

Reference : ITIS-2019-006

Type: Researcher
Contract type: Fixed term contract
Duration: 24 months
Place: Belval



With a team of more than 100 highly skilled researchers and engineers from various disciplines, the ITIS Department addresses the technological, organizational, human and economic aspects of innovative IT services. Research areas are based around the innovation of services with a high level of information intensity and a level of quality allowing trust to be gained in their use and value to be generated around new business models.

The successful candidate will actively contribute to the research and technological activities in an interdisciplinary research unit that aims to enhance Luxembourg’s international competitiveness in the area of business analytics applied to big data and therefore significantly participate in the country's socio-economic development.

For this position, we are looking for a highly motivated researcher who will take part in an ambitious project related to Industry 4.0 and business analytics, which aims to leverage advanced analytics and machine learning in order to build predictive services.




As Research Engineer, your main tasks will be to:

  • Collect, clean, structure and analyse data
  • Conduct literature reviews
  • Develop optimized models for specific problems
  • Analyse errors and model performances
  • Communicate results through presentations and reports





  • Hold a Master’s or PhD degree in quantitative domains such as Computer Science, Statistics, Maths or Physics, with a specialization in Machine Learning, Data Analytics and related fields


  • Ideally, 2-3 years of experience in the application of advanced analytics and machine-learning techniques
  • Strong skills in Python and/or R
  • Experience with data visualization tools/libraries
  • Knowledge of SQL is a plus
  • Experience with Big Data and related technologies is a plus
  • Strong interest in engaging in innovative value-creation activities with industrial partners, in particular in the Industry 4.0 domain
  • Track record of research dissemination including peer-reviewed publications is a plus
  • Knowledge of the manufacturing domain and the digitalization of the processes is also a plus
  • Demonstrated ability to generate new ideas, concepts, models and solutions
  • Collaborative skills, initiative, result-oriented, excellent organization and capacity to work in an interdisciplinary environment
  • Excellent analytical and report-writing skills
  • Excellent communication skills (oral, written, presentation)


  • Fluency in English is mandatory


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Prof. Dr Eric DUBOIS
Prof. Dr Eric DUBOIS

Director of IT for Innovative Services department

 Nathalie DESSOY
Nathalie DESSOY

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