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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. 


You ‘d like to contribute as a Researcher? Join our IT for Innovation Services department 

The IT for Innovative Services (ITIS) department, with its 100 researchers and engineers, focuses on the digital transformation of operations in organizations with traditional environments and digital ecosystems, with the aim of improving their performance and innovation capacity. The common thread throughout ITIS is to develop the most efficient use of big data to ensure the most appropriate decision-making processes.

The department relies on the Data Analytics Platform: a hybrid infrastructure covering the entire range of data analytics activities. The platform is based on three pillars: a high-performance computing (HPC) infrastructure, a cognitive analytics pillar and an interactive visualization wall (Viswall).

Our world is becoming increasingly digital. Vast amounts of data about how individuals and groups behave, how machines and equipment work, and how the environment evolves are collected every day. The Data Science & Analytics Unit (DSA) supports this digital transformation of our society and our economy by focusing on the interplay between people, data, computers and the physical world.

The Visualization (VISU) Group of DSA focuses on leveraging the impressive human visual capabilities to gain insight into large complex data, to understand models and to take informed decisions. The team adopts the visual analytics paradigm in which a mix of visualization techniques are combined with various advanced analytics methods in user-friendly applications.


How will you contribute?

The VISU group has developed strong expertise in visual analytics for graph/network data, high dimension and mixed data as well as text data for applications like industry 4.0, automotive, health or life sciences. We’d like to further develop our portfolio of activities in these sectors and to grow in complementary application fields in particular finance, smart cities/regions, and edutechs. Our ambition is to imagine generic methodologies, approaches and techniques that can be transferable across application domains.

In the context of the upcoming regulation on Trustworthy AI, we also foresee visualization as a powerful mean to provide explanations of AI models and outcomes. Therefore, the VISU group is developing synergies with the AI-centered groups of the DSA Unit. For instance, the question of biases is present both in AI and in visualization and it should be jointly considered in the Trustworthy AI paradigm.

Visualization is also closely related to Human-Computer Interaction. When it is required, the VISU group is therefore joining its forces with HCI experts of other groups from the DSA unit who are specialized in User experience (UX), Human Factors and Augmented/Mixed Reality (AR/MR).

You should be a recognized researcher in your field with a documented footprint in the scientific community. Your main mission will be to promote RD&I activities and recognition within the Visualization group and the DSA unit by acquiring funding, managing large RD&I projects and maintaining / further developing your profile in the relevant scientific and technological communities. 

You will lead the definition, and manage as PI, national and international RD&I projects of high complexity as well as multiannual and/or multidisciplinary RD&I projects. 

You will additionally lead and promote the dissemination, valorisation and transfer of RD&I results (patents, licenses, prototypes, publications, technical reports, participation in conferences) and publish scientific results in high-quality peer-reviewed journals or conferences. Such efforts should be performed in strong collaboration with other members of the VISU group, the DSA unit and the department and will contribute to the development of Research & Technology activities in LIST. Moreover, you will actively contribute to the development of scientific and technological cooperation networks at the national and international level.

You should have an outstanding academic background and a very strong record of accomplishments as far as publications and project management are concerned. Significant experience with application-oriented research is an asset including collaboration(s) with industry and transfer of RD&I results to public and/or private partners. Experience organizing and/or participating in multilateral research consortia (such as EU projects) would be a great advantage for this function.

must have requirements

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

You hold a PhD in Computer Science / Engineering / Mathematics (or other related fields), with a strong background in Visualization / Visual Analytics research and have:

  • Around 15 years of experience after your PhD;
  • Strong track record of publications, and a genuine interest for applied research/technology and innovation transfer. You should be a recognized researcher in your field with a documented footprint in the scientific community;
  • As you will integrate a Research and Technology Organization (RTO) that is strongly project and team oriented, you should be comfortable securing funding and managing a sustainable project portfolio ranging from fundamental to industrial / application-oriented research;
  • As experienced researcher in field of visualization and visual analytics, you can demonstrate strong expertise and proven experience in the design, implementation and assessment of beyond state-of-the-art methods, concepts, techniques in the field.
  • As visualization and visual analytics deliver their full value when coupled with an application domain, you should demonstrate how your results have benefitted to domain experts in science or business. From this perspective, you should be able to provide examples of your capability to understand an application field and to integrate its specific constraints into a visualization / visual analytics proposal;
  • An outstanding academic background and a very strong record of accomplishments as far as publications and project management are concerned. Strong track record of Visualization-focused main-authored publications in prominent, top-tier journals and conferences (e.g. IEEE TVCG, VIS conference, EG CGF, EuroVis); 
  • Strong knowledge of Visualization and Visual Analytics theories, paradigms, and techniques;
  • Good knowledge in evaluation methods for Visualization / Visual Analytics applications
  • Knowledge of tools, frameworks, programming languages used in visualization (to be able to lead and supervise software engineering tasks in the field);
  • Activity or membership within scientific or business networks;
  • Needless to say, you have proven experience in managing RDI projects and you have supervised PhD students;
  • Strong collaborative skills, result-oriented mindset, excellent organization and capacity to work in a dynamic, cross-functional environment;
  • Excellent analytical and communication skills (oral, written, presentation), including vs technical, management/executive and business audiences.

On top of that, you have an excellent level both written and spoken English, any of Luxembourg’s administrative languages (Luxembourgish, French, German) is a plus. You're the one we're looking for!

nice to have requirements

Furthermore, we consider as an asset:

  • Experience organizing and/or participating in multilateral research consortia (such as EU projects);
  • Specific expertise in one or several following topics: visualization combined with Artificial Intelligence, visualization combined with Augmented Reality;
  • Significant experience with application-oriented research including collaboration(s) with industry and transfer of RD&I results to public and/or private partners. Visualization / Visual Analytics applications as part of concrete business-facing projects, e.g. Industry 4.0 / Automotive / Health / Finance;
  • Strong track record of acquired projects in a competitive setup (EU/national programs, business development, etc.), experience in a business/industry-facing environment;
  • Any previous awards, fellowships or patents;
  • Experience in supervising PhD students.

We offer

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 such as our Viswall, high-scale incubators and top of the range 3D/4D printings that are part of our toolkit for excelling in all we do;

Multicultural and international work environment with more than 45 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, flexible working hours, 13-month salary, statutory health insurance and access to lunch vouchers; 

Personalized learning programme to foster our staff’s soft and technical skills; 

An environment encouraging curiosity, innovation and entrepreneurship in all areas. 

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:

  • LIST is an equal opportunity employer and is committed to hiring and retaining diverse personnel. We value all applicants and will consider all competent candidates for employment without regard to national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age or disability; 
  • Applications will be reviewed on an ongoing basis until the position is filled; 
  • An assessment committee will review the applications and select candidates based on guidelines that aim to ensure equal opportunities; 
  • The main criteria for selection will be the correspondence of the existing skills and expertise of the applicant with the requirements mentioned above.


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


The following languages are optional but are considered a plus.
  • Read B2 Upper intermediate
    Write B2 Upper intermediate
    Speak B2 Upper intermediate
  • Read B2 Upper intermediate
    Write B2 Upper intermediate
    Speak B2 Upper intermediate
  • Read B2 Upper intermediate
    Write B2 Upper intermediate
    Speak B2 Upper intermediate
minimum required Education
Required work experience in years
15 or more years
Employment type
Contract type
Hours per week
Profile type
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