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I-2424 RESEARCHER IN DIGITAL TRANSFORMATION AND DATA ECOSYSTEM ORCHESTRATION
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I-2424 RESEARCHER IN DIGITAL TRANSFORMATION AND DATA ECOSYSTEM ORCHESTRATION

Temporary contract Part time 60% | 24 months | Belval

 

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/

Discover our IT for Innovative Services department: https://www.list.lu/en/informatics/


As Innovation Partner in the BEPROACT and Twin4Resilience projects, LIST plays a (i) transversal role to foster the adoption of data-driven decision making, by providing and developing expertise on: the digital transition, data ecosystem orchestration, and the design and implementation of data spaces and Local Digital Twins (LDT) and a (ii) local/national role as core stakeholder in the Luxembourg innovation ecosystem, collaborating with other partners form Luxembourg in the co-design and the implementation of pilots.

These Interreg NWE initiatives share a common goal: fostering data-driven decision-making for critical infrastructure management and smart cities. These projects involve local, regional and national authorities, innovation players, and private companies.


How will you contribute?

Through privileged access to real business cases, ecosystems, challenges and data, your objective will be to identify the requirements and barriers for data sharing and governance (through the data spaces approach), and to conceptualise the enabling ecosystem for the adoption of data-driven decision making (through the digital twins/AI approach).

You will work collaboratively with practitioners and a team combining technical and applied research expertise in digital transformation, data science, pilots' development and systems architecture.

 

Key tasks and responsibilities:

 

  • Ecosystem orchestration: In pilots, support the stakeholders in identifying roles and responsibilities of actors in the setup of data ecosystem(s), as well as relevant data flows for the entire LDT/data spaces lifecycle. Assist pilots in mapping data types and flows, data access and sharing requirements and develop data governance models.
  • Value creation: Ensure that the pilots business cases are pertinent and contribute to value addition, and therefore also adoption of data spaces and/or digital twins.
  • Adoption barriers: Identify incentives for different actors to participate in data spaces, and address barriers to data sharing and reuse. Understand stakeholder resistance and develop strategies for the adoption of data-driven approaches (including Digital Twins).  
  • Data Governance Schema: Conceptualize concrete approaches for the scoping and prioritization of the needs for exploiting data in the context of smart cities and predictive infrastructure maintenance. 
  • Knowledge Hub: Contribute to maintaining a state-of-the-art on data spaces and data governance topics, with a special interest on the ongoing initiatives implementing European Common Data spaces. Collect best practices, case studies, and lessons learned related to LDTs development, deployment and adoption. 
  • LDT Maturity Matrix: Contribute to the creation of a comprehensive LDT Maturity Matrix, evaluating the enabling data ecosystems for sustainable local digital twins across partner cities, or the adoption of data-driven decision-making by infrastructure managers.
  • Digital skilling and upskilling of the ecosystem: Identify gaps in terms of missing capacity or skills regarding the adoption of data-driven decision-making, with a special focus on the public sector, and smart communities. 
  • Sustainability and Scalability: Assess the long-term sustainability and scalability of data-driven solutions, considering resource constraints and diverse operational contexts.
  • Contribute to dissemination activities: research publications, public outreach communication, practitioners oriented communications.

 

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

Education

  • PhD in topics related to Business informatics, Information System, Computer Science, etc.

Experience and skills

  • Expertise with business analysis and conceptual modelling (goal , value, data, information and processes).
  • Proven experience with digital transformation projects.
  • Proven experience in conducting and publishing research.
  • Excellent collaborative and communication skills.
  • Ability to work in a dynamic, project-driven environment.
  • Ability to travel abroad to attend project meetings and relevant events.

Language skills

  • Excellent level of both written and spoken English and good knowledge of French, German and/or Luxembourgish is a plus. Any other European language is considered as 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 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.

 

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.

REQUIREDLANGUAGES

To be considered for this position it is crucial that you have knowledge of the following languages
  • Read C1 Advanced
    Write C1 Advanced
    Speak C1 Advanced
  • Read B2 Upper intermediate
    Write B2 Upper intermediate
    Speak B2 Upper intermediate

OPTIONAL LANGUAGES

The following languages are optional but are considered a plus.
  • Read B2 Upper intermediate
    Write B2 Upper intermediate
    Speak B2 Upper intermediate
  • Read B1 Intermediate
    Write B1 Intermediate
    Speak B1 Intermediate
minimum required Education
Required work experience in years
1 or more years
Job Category
Details
Employment type
Contract type
Hours per week
24
Contract period
Months
Contract duration
24
Location
Country
City
Esch-Sur-Alzette
Recruiter in charge
Carolina DE LEON
Employment type
Part-Time
UO
ITIS
Profile type
Researcher

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