I-246x - Ai Experienced Researchers for The List Ai

il y a 1 semaine

EschsurAlzette, Esch-sur-Alzette, Luxembourg Luxembourg Institute of Science and Technology (LIST) Temps plein

Permanent contract | 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.


How will you contribute?

  • The LIST AI Initiative, supported by the LIST Board of Directors, aims to expand LIST's AI capabilities and maximise the impact of AI innovation both within LIST (AI applied to scientific research in all LIST RDI units and AI applied to improve the performance of LIST corporate support functions) and outside LIST (AI applied to improve products, services and processes of private and public organisations through collaborative projects and/or contract research).
In this context, LIST is seeking to recruit
several AI experienced researchers.
You will join the LIST AI Initiative team and collaborate with peers in a dynamic and evolving research environment. We'll expect from you to lead research and innovation (RDI) activities in AI and applied AI.

The LIST AI initiative includes three main research directions:

  • i) fundamental AI innovation, such as trustworthy AI and low-resource or frugal AI, also in collaboration with universities, other leading public research organisations and private sector innovators (big tech and AI start-ups);
- ii) AI enabling innovation in transversal domains, such as AI to improve software development, cybersecurity, networking, AI-enabled digital twins, etc.
- iii) AI applied to vertical domains in industry and the public sector, such as manufacturing, education, mobility, environment, healthcare, etc., that are relevant to Luxembourg's economy, society and sustainability.

As an experienced member of the LIST AI initiative, you will take the lead in:

  • i) delivering Research, Development and Innovation (RDI) activities;
- ii) leading, developing and coaching the LIST RDI teams;
- iii) and maximising the impact of applied AI through externally funded projects with public or private organisations. Specifically, you'll research, design and implement AI-based solutions (involving technologies such as LLMs, RAG, neural networks, prediction, prompt engineering, multimodal input, AI safety, AI testing and evaluation, AI sandboxes, and other related techniques) to address the needs of AI projects at national and international levels from both private and public partners.

Your role will include:

  • Lead the research, development and innovation (RDI) activities on an AI topic, defining and shaping research directions in line with LIST's strategic objectives.
  • Drive the development of innovative AI technologies and methodologies.
  • Develop and manage RDI project proposals, ensuring alignment with strategic research objectives. Identify funding and grant opportunities; prepare and submit proposals to secure financial support for RDI activities.
  • Oversee the execution of RDI projects with industrial partners, ensuring that they meet their objectives, timelines and budgets.
  • Establish and maintain collaborations with industrial partners, public organisations, research institutes and universities to enhance research impact and technology transfer.
  • Actively participate in EU and national consortia and contribute to collaborative research projects.
  • Build, lead and coach a team of researchers and technical staff. Promote a culture of innovation, collaboration and excellence.
  • Increase LIST's visibility in the AI field through publications, presentations and participation in relevant forums and conferences. Enhance the influence and positioning of LIST in the EU and globally.
  • Contribute to the strategic planning of the LIST AI initiative, ensuring the alignment of AI research, development and innovation activities with broader institutional goals.

Deep scientific and technical expertise, demonstrated by publications and successful RDI projects, in at least some of these topics is required:

  • Generative AI, including large language models (LLMs), multimodal foundation models, retrieval augmented generation (RAG), fine-tuning and optimisation techniques for LLMs.
  • Machine learning and neural network architectures, including convolutional, recurrent and transformer networks
  • Predictive modelling and analysis using supervised and unsupervised learning methods
  • MLOps and model management to streamline ML development.
  • Multimodal inputs.
  • Lowresource AI or frugal AI (AI with limited data, computing power, etc.)
  • Data management, data valorisation and data processing techniques, including data sandboxes, data spaces, data synthesis and data augmentation.
  • AI safety strategies (red teaming, blue teaming).
  • AI ethics and compliance.
  • AI evaluation, assessment, testing and benchmarking, incl

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