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SD-25137- SOFTWARE ENGINEER FOR DIGITAL TWIN SYSTEM

SD-25137- SOFTWARE ENGINEER FOR DIGITAL TWIN SYSTEM

LISTEsch-Sur-Alzette, LU
Il y a 23 jours
Description de poste

SD-25137- SOFTWARE ENGINEER FOR DIGITAL TWIN SYSTEM

Temporary contract | Up to 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 :

LIST coordinates a national research initiative to support the energy transition, co-funded by the National Research Fund (FNR). This initiative aims at supporting Luxembourg's energy transition through a nation-wide digital platform, built together with public and private stakeholders in the Energy sector. Such a platform puts together multidisciplinary data and models covering different aspects of the energy transition, including energy infrastructure, market design, regulatory constraints, social and environmental impacts.

Within the project, we aim at addressing the research challenges associated with the design and operationalisation of a nation-wide platform that integrates multidisciplinary data and models to provide energy transition decision support to multiple stakeholders.

How will you contribute?

As a Software Engineer for Digital Twin, you will contribute to the implementation of a Digital Twin platform to support decision-making related to the energy transition in Luxembourg. The platform will act both as an enabling infrastructure and as an integration environment for research outputs ( simulation tools, models, data, data pipelines) from the project partners.

Main responsibilities :

Design and implement  a scalable, secure, and high-performance data platform for energy data monitoring, processing and analysis.

Develop, deploy, and maintain  open-source software (OSS) components  in a  Kubernetes-based environment .

Translate research outputs (, models, algorithms) into  production-grade APIs and services .

Collaborate with data scientists and domain experts via LivingLabs to integrate knowledge and AI models (, including simulation, prediction) into the  digital twin architecture .

Develop and maintain  web-based user interfaces  to enable intuitive interaction with the digital twin and data services.

Ensure solutions are  well-tested, documented, and maintainable , with a strong emphasis on software quality and reproducibility.

Participate in design reviews, code reviews, and agile development practices

  • Support project planning, execution, and reporting.
  • Support the evaluation of the platform and quality assurance via monitoring of platform-related KPIs
  • Write technical documentation, research reports, and contribute to scientific dissemination (, conferences, workshops, whitepapers).

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

Education

Master’s degree (or equivalent) in Computer Science, Software Engineering, or a related technical field.

Experience and required skills

Proven experience in RDI environments, ideally in software engineering domains, particularly in Software Development, DevOps, or related roles, with a preference in energy-related projects.

Strong proficiency in  backend development , with experience preferably in  , Spring Framework or Go .

Experience deploying and managing services in  Kubernetes  (, Helm, Kustomize, CI / CD pipelines).

Experience with  CI / CD tools  such as GitLab CI / CD, Jenkins, or ArgoCD.

Solid understanding of  API design  (REST / gRPC) and experience building production-grade services.

Experience with  open-source software ecosystems , ideally in data engineering, scientific computing, or IoT.

Familiarity with  Git-based workflows  and collaborative development practices.

Excellent problem-solving skills and the ability to work both independently and in a team.

Preferred Skills

Proficiency with  containerization and orchestration technologies , including  Docker ,  Kubernetes , and  Helm .

Hands-on experience with  Data LakeHouse architectures  and  data streaming platforms  (, Kafka, Pulsar).

Familiarity with various types of databases, including  NoSQL ,  graph databases  (, Neo4j), and  time-series databases  (, InfluxDB, TimescaleDB).

Backend development expertise in ,  Spring Framework (Java) , or  Go  for building scalable, maintainable services.

Frontend development experience using modern frameworks such as  React  or  Angular , with a focus on usability and performance.

Experience working with  energy systems ,  simulation tools , and / or  digital twin technologies  is a strong plus.

Understanding of  DevOps best practices , observability, and monitoring tools (, Prometheus, Grafana).

Experience with Domain Driven Design principles is a strong plus.

Knowledge about cloud-native architecture patterns, microservice architectures and data mesh principles is expected.

Background in  research-to-industry integration , especially around deploying algorithms or models in production environments.

Language skills

Good level both written and spoken English

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

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, 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.

REQUIREDLANGUAGESTo be considered for this position it is crucial that you have knowledge of the following languagesEnglishReadC1 AdvancedWriteC1 AdvancedSpeakC1 Advancedminimum requiredEducationMasterJob CategoryScience & ResearchDetailsEmployment typeFull-TimeContract typeFixed Term contractHours per week40Contract periodMonthsContract duration24LocationCountryLuxembourgCityEsch-Sur-AlzetteProfile typeEngineerUODIGITAL (ITIS)Employment typeFull-TimeContract TypeFixed Term contractRecruiter in chargeHélène ARAGO

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