Fixed term contract | Belval | 24 Months

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

The Luxembourg Institute of Science and Technology (LIST) is a leading Research and Technology Organisation (RTO) that drives innovation for the economy and society in Luxembourg and beyond. With cutting-edge expertise in Natural, Built, Industrial environments, Space, AI, Security and defence technologies. LIST bridges scientific excellence and applied research to design solutions that address real-world challenges and create positive impact.

Do you want to know more about LIST? Check our website: https://www.list.lu/

How will you contribute?

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

We are looking for a highly motivated and talented Engineer to join our team and contribute to a research project in collaboration with Post Luxembourg, one of our key industrial partners. The project combines optimisation, AI and digital twin technologies in the context of innovative logistics applications.

As part of our team, you will contribute to the design, implementation, and validation of advanced computational methods supporting logistics process analysis, forecasting, and optimisation within a digital twin environment.

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

·          Developing and implementing algorithms for automated process discovery based on event logs in the context of logistics systems.

·          Developing and implementing methods for performance analysis, including bottleneck detection and compliance deviation analysis, using state‑of‑the‑art process mining tools.

·          Developing and implementing algorithms to explore and propose “what‑if” scenarios to support strategic planning and decision making in logistics.

·          Validating analytical models and algorithms in a sandbox environment designed for controlled experimentation.

·          Disseminating project results through internal project reports and deliverables, scientific publications in peer-reviewed journals, conferences and presentations at industry events.

·          Taking ownership of assigned tasks, coordinating activities with stakeholders, and providing regular progress updates to the project manager.

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

Education

·          Master’s degree in computer science, Software Engineering or related field.

Required experience and skills:

·          Proven experience software design and software development.

·          Solid mathematical foundation, with knowledge of statistical analysis.

·          Experience with database systems.

·          Proficiency in Python, or similar computing languages, with demonstrated software engineering experience.

·          Experience working with Agile methodologies and associated collaborative tools (like Jira for example).

·          Experience with test driven programming, continuous integration and/or continuous deployment practices.

·          Strong interpersonal and communication skills to collaborate effectively with cross-functional teams, stakeholders, and industry experts.

·          Good communication skills.

·          Good written and verbal communication skills in English is mandatory.

Nice to have experience:

Technical:

·          Knowledge of business process modelling notations (for example BPMN or Petri nets).

·          Experience with business processes event log processing or workflow analysis.

·          Experience in data science, optimisation methods, machine learning and/or predictive analytics.

·          Familiarity with logistics systems, supply chain analytics or operations management.

Research and project management:

·          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 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.

·          Continuous Learning and improvement: Willingness to stay updated with the latest advancements and industry trends. Actively seeking model improvements based on the industry changes.

Language skills

Fluency in English both oral and written. Other relevant languages, in particular French 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 60 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 (not remote) 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.

Application procedure and conditions

We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.

LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, ethnicity, gender, sexual orientation, gender identity, marital status, religion, age, or disability.

Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.

As part of our recruitment process, the selected candidate might be subject to a background check in accordance with applicable laws and institutional policies. Further checks and restrictions might apply to candidates in compliance with export controls requirements

For the purposes of the position and in accordance with applicable legislation, the successful candidate may be requested to provide a recent criminal record certificate.