Researcher in Process Mining and Optimisation

About the role

We are looking for a highly motivated researcher to join our team at LIST in Belval. The position focuses on developing advanced logistics applications that integrate process mining, optimisation and digital‑twin technologies.

Key responsibilities

• Design and implement algorithms for automated process discovery from event logs in logistics systems.
• Combine data‑science and process‑mining techniques to model, analyse and visualise logistics processes.
• Develop performance‑analysis methods, including bottleneck detection and compliance deviation analysis using state‑of‑the‑art tools.
• Create “what‑if” scenarios to support strategic planning and decision‑making.
• Build and validate an optimisation environment tailored to logistics process improvement.
• Investigate machine‑learning and advanced‑analytics approaches for business‑process forecasting and predictive analytics.
• Validate models in a sandbox environment and disseminate results through reports, scientific publications and industry presentations.
• Take ownership of assigned work‑packages, coordinate with stakeholders and provide regular progress updates.

Required profile

• PhD in Computer Science, Software Engineering, Applied Mathematics or a related field.
• Strong expertise in optimisation, data science and machine learning.
• Experience with business‑process modelling and predictive analytics is desirable.
• Motivation to work in a collaborative research environment with industrial partners.

Required skills

• Process mining
• Machine learning
• Data science
• Optimisation techniques
• Predictive analytics
• Digital twin technologies
• Business process modelling

What we offer

• Fixed‑term contract up to 24 months.
• Opportunity to work on cutting‑edge logistics research with a national industrial partner.
• Access to state‑of‑the‑art research facilities and a multidisciplinary team.
• Support for scientific publications and conference participation.