Job Information
- Organisation/Company: Luxembourg Institute of Science and Technology
- Research Field: Computer science
- Researcher Profile: First Stage Researcher (R1)
- Positions: PhD Positions
- Application Deadline: 30 Dec 2026 - 00:00 (Europe/Luxembourg)
- Country: Luxembourg
- Type of Contract: Temporary
- Job Status: Full-time
- Hours Per Week: 40
- Offer Starting Date: 1 Jan 2027
- Is the job funded through the EU Research Framework Programme?: Not funded by a EU programme
- Is the Job related to staff position within a Research Infrastructure?: No
Offer Description
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 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: https://www.list.lu/
How will you contribute?
The AI Readiness and Assessment (AIRA) research group at LIST is seeking a highly motivated Postdoctoral Researcher to lead technical service delivery for the Luxembourg Digital Innovation Hub (L-DIH 2.0). Operating at the intersection of process systems engineering, data-driven modeling, and applied AI, this position focuses heavily on conducting advanced data evaluations and hands-on technology testing for SMEs in Luxembourg across six economic sectors: manufacturing, transport & logistics, construction & craftsmanship, skilled crafts, wholesale & retail trade, and the hospitality sector. Additionally, the researcher will transfer this field's expertise directly to the ecosystem by designing and delivering specialized technical training modules. The ideal candidate is a practical innovator, comfortable operating at the interface between academic research and industry.
- Deliver Data Readiness Assessments & Roadmaps:Evaluate SME data availability, quality, interoperability, and data infrastructure maturity across critical business and operational processes. Translate these findings from an engineering perspective into a prioritized roadmap.
- Execute Agentic AI-Driven Technology Testing & EDA:Lead short, hypothesis-driven prototyping and exploratory data analysis (EDA) using real or representative industrial datasets. Evaluate and deploy modern AI technologies, including LLM-based assistants, agentic workflows and automation pipelines where appropriate. Particularly for data-readiness, make use of agentic approaches for the identification of physical constraints and data-quality bottlenecks, delivering rapid, evidence-based feasibility assessments that reduce technical investment risks for client companies.
- Hybrid & Data-Driven Modeling: Apply machine learning and hybrid physics-AI approaches to model industrial systems, accounting for physical constraints, sensor noise, and heterogeneous datasets.
- Support Customer Journey: Formulate technically grounded recommendations that help guide client companies through a coherent, frictionless transformation journey within the L-DIH consortium and onward to the Luxembourg AI Factory.
- Deliver Domain-Specific Digital Trainings: Build and deliver specialized, expert-level training modules directly related to the core engineering and data principles applied in the project services to which the candidate contributed (e.g., Industrial Data Management, Sensor Fusion, or Intro to Hybrid Modeling/Digital Twins).
Is Your profile described below? Are you our future colleague? Apply now!
Education
- Ph.D. in Computer Science, Data Science, Mechanical Engineering, Systems Engineering, Applied Mathematics, or a closely related discipline with a definitive focus on data-driven modeling or systems optimization.
Experience
- 0–3 years of postdoctoral experience (or equivalent research experience) in computational, statistical, or data-driven modelling
- Proven experience in data engineering and management; machine learning and data-driven modelling as well as Digital twins and hybrid physics - (agentic)AI approaches.
- Experience in the industrial environment is considered an asset
Hard skills
- Advanced expertise in machine learning, data-driven modeling, and the deployment of digital twins or hybrid physics-AI frameworks.
- Process Systems Engineering: Strong background in process design, industrial instrumentation, and automation concepts (PLC, SCADA, sensor networks).
- Data Lifecycle Mastery: Proven experience manipulating heterogeneous industrial datasets, performing data lineage mapping, and identifying operational data bottlenecks.
- Industry 4.0 Concepts: Thorough understanding of how smart manufacturing paradigms translate to actual factory floors.
Soft skills
- Ability to work effectively in interdisciplinary teams spanning computational and experimental research
- Strong analytical and problem-solving skills, with attention to scientific rigor and interpretability
- Notions of explainability and trustworthiness in AI
- Clear written and verbal communication skills, including the ability to explain complex concepts to non-specialists
- Intellectual curiosity and motivation to work on applied, impact-driven research
- Ability to work independently while contributing constructively to a collaborative project environment
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.
This position offers a gross monthly salary between €6'094 and €6'679 (index 992,24), paid over 13 months (€79'000–€86'000 annually) based on full-time employment. The final salary offer within this range will be determined based on the candidate's overall profile, qualifications and professional experience.
LIST also supports employees’ long-term professional development through opportunities to grow in responsibilities, expertise, and career path over time.
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, colour, 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.
Where to apply
Website: https://app.skeeled.com/s/bDTx0NUL
Requirements
- Research Field: Computer science
- Education Level: PhD or equivalent
- Languages: ENGLISH
- Level: Excellent
Work Location(s)
- Number of offers available: 1
- Company/Institute: Luxembourg Institute of Science and Technology
- Country: Luxembourg
- Geofield:
Contact
- City: Esch-Belval
- Website: http://www.list.lu/
- Street: 5, avenue des Hauts-Fourneaux
- Postal Code: L-4362
- E-Mail: [contact details available in the full listing]
