SD-25086-RESEARCHER IN PROCESS MINING AND OPTIMISATION

Fixed term contract | Belval | up to 24 Months

Are you passionate about research? So are we! Come and join us

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.

Do you want to know more about LIST? Check our website.

How will you contribute?

Do you have proven skills in data science, machine learning, as well as in optimisation?

You will have the opportunity to contribute to a research project in collaboration with Post Luxembourg (one of our national industrial partners) that combines optimisation, AI and digital twin technologies in the context of innovative logistics applications.

We are looking for a highly motivated Researcher to join our team in the development of an advanced logistics application integrated with digital twin technologies. The ideal candidate should have strong expertise in optimisation, data science, and machine learning, with additional desirable skills in business process modelling and predictive analytics.

The successful candidate will contribute to the design, implementation, and validation of innovative computational methods that support logistics process analysis, forecasting, and optimisation within a digital twin environment.

Your specific activities will include (but are not limited to):

• Develop algorithms for automated process discovery based on event logs in the context of logistics systems.
• Combine data science and process mining techniques to support process representation, modelling, and analysis within a logistics environment.
• Design and implement methods for performance analysis, including bottleneck detection and compliance deviation analysis, using state-of-the-art process mining tools.
• Explore and propose “what-if” scenarios to support strategic planning and decision making in logistics.
• Formalize and implement an optimisation environment tailored to logistics process improvement.
• Validate analytical models and algorithms in a sandbox environment designed for controlled experimentation
• Investigate and propose machine learning and advanced analytics approaches for business process forecasting.
• Explore, design, and implement predictive analytics strategies to anticipate trends, process deviations, and operational outcomes.
• Disseminate the project results through project reports and deliverables, scientific publications in journals and conferences and presentations at industry events
• Take ownership of assigned work-packages, coordinate activities with stakeholders, and provide regular progress updates to the project manager.

Is Your profile described below? Are you our future colleague? Apply now!

Education:

• PhD degree on Computer Science, Software Engineering, Applied Mathematics or Statistics with specialization in Data Science or related fields.

Required experience and skills:

• Experience in data science and optimisation methods.
• Familiarity with logistics systems, supply chain analytics or operations management.
• Experience with business processes, event log processing or workflow analysis.
• Proficiency in Python, or similar computing languages, with demonstrated software development experience.
• Solid mathematical foundation, with knowledge of statistical analysis.
• Experience in using database systems.
• Experience managing medium projects
• Experience in research, including designing studies, formulating research questions, and applying appropriate methodologies.
• Sound publication track record in relevant international conferences and journals.
• Ability to present research findings in a clear and concise manner through reports, presentations, and scientific papers.
• Experience of working in applied research projects preferably with industrial partners.
• Strong interpersonal and communication skills to collaborate effectively with cross-functional teams, stakeholders, and industry experts.
• Good communication skills.

Nice to have experience:

• Knowledge of business process modelling (BPMN, Petri nets, etc.).
• Experience with predictive analytics and machine learning frameworks.
• Experience in managing tasks in research projects, including planning, organizing, and coordinating research activities within specified timelines. Ability to prioritize tasks, set milestones, and monitor progress.
• Experience in software development
• Continuous Learning and improvement: Willingness to stay updated with the latest advancements and industry trends. Actively seeking model improvements based on the industry changes.
• Be proficient in French and/or Luxembourgish.

Language skills

Fluency in English, both oral and written.

Other relevant languages are an asset.

Your LIST benefits

• An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects
• Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society
• Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do
• An environment encouraging curiosity, innovation and entrepreneurship in all areas
• Personalized learning programme to foster our staff’s soft and technical skills
• Multicultural and international work environment with more than 50 nationalities represented in our workforce
• Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions
• Gender-friendly environment with multiple actions to attract, develop and retain women in science
• 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
• Flexible working hours, home working policy and access to Digital lunch vouchers

Apply online

• Your application must include:
  • A motivation letter oriented towards the position and detailing your experience
  • A scientific CV with contact details
  • List of publications (and patents, if applicable)
  • Contact details of 2 references

Please apply ONLINE formally through the HR system. Applications by email will not be considered.