Trabajo de Economistas en Luxemburgo

24 months contract | Belval

Are you passionate about research? So are we! Come and join us in our ITIS department

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/

How will you contribute?

As a Data and Software Engineer in our AI and Data Analytics (AIDA) Platform, you will play a relevant role in advancing our research and innovation projects with software development on data science and analytics.

You will be at the heart of data-driven initiatives, contributing to the development of cutting-edge technologies and solutions.

You will contribute to RDI projects through the design, development and improvement of equipment, processes, methods, protocols, technological solutions and/or products. You'll carry out various analyses and experiments in the framework of RDI projects and/or service-delivery activities and ensures the follow-up of equipment. Particular focus will be given in this position to data-driven activities, including data processing, data augmentation, data analytics, predictive modelling and visualization, dashboarding and frontend development.

You will also be involved in knowledge transfer activities like internal and external trainings, and technology demonstrations.

Key tasks and responsibilities:

• Testing and Experimentation: Support RDI projects by testing and experimenting with data and AI technologies.

• Data Pipelines and Analysis: Create and manage data pipelines, perform data analysis, and develop dashboards.

• Prototype Development: Build prototypes and demonstrators, including data visualization and storytelling.

• Data Science Tasks: Engage in comprehensive data science work, including data collection, preparation, predictive modelling, and deployment.

• Model and Asset Integration: Integrate models and assets produced into various software stacks within the AIDA platform.

• Support for DTIC: Assist the Digital Twin Innovation Center (DTIC) manager in defining and scoping digital twin-related projects and demonstrators.

• Collaboration: Work closely with a diverse team of full-stack developers, research data managers, system administrators and fellow data scientists at the AIDA-Lab Pole and DTIC Pole, within the AIDA platform, in a collaborative environment.

• Frontend Development and Integration: Work on frontend development and ensure seamless integration of produced assets into larger demonstrators.

• Dissemination, valorisation, and technology transfer: Participate in the drafting of reports, scientific articles or other documents.

• Support to partnerships: Contribute to the development of partnerships and networks at a national and international level in their field of expertise.

• Training and supervision: Keep abreast of his/her data engineering field and the related technology developments, in particular AI and ML. Attend conferences, continuous trainings, readings. Train on new techniques, including cloud-related services linked to AI but also open-source platforms, frameworks and technologies that could be reused. Participate to the training of undergraduate students and interns.

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

Education

• Master's degree in Data Science, Computer Science, Engineering, or a related field.

Experience and skills

• Proven experience in data analysis, predictive modelling, and data visualization.

• High proficiency in programming languages used in data science (e.g., Python, R) as well as front-end related frameworks (React, HTML, JavaScript, CSS).

• Experience with data pipeline tools and ETL, both on cloud or open-source solutions.

• Excellent collaborative and communication skills.

• Ability to work in a dynamic, project-driven environment.

• Good level of 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 CV with contact details.

• Contact details of 2 references.

Application procedure and conditions:

Expected start date: 01/04/2024 ideally

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, color, 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.

Your master diploma has to be recognized in Luxembourg. Please refer to:

https://www.uni.lu/en/admissions/diploma-recognition/

https://guichet.public.lu/fr/citoyens/enseignement-formation/etudes-superieures/reconnaissance-diplomes.html