I-2463 EXPERIENCED RESEARCHER IN THE FIELD OF FRUGAL/GREEN AI
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.
Do you want to know more about LIST? Check our website: https: // www. list.lu/
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).
One of the key areas of interest in the LIST AI initiative is that of Frugal
AI, understood in a very broad sense: from the analysis of “frugality” of
current AI models to the selection/adaptation of models to be deployed in
constrained resources (in terms of energy, memory…) depending on the client
requirements as part of the design process of a new software system with
sustainability concerns.
In this context, LIST is seeking to recruit an AI experienced researcher with
a strong specialization and interest in the field of Frugal AI (and similar
terms: green AI, low-resource AI, constrained AI, …).
You will join the LIST AI Initiative team as a member of the SWRDI research
group and collaborate with peers in a dynamic and evolving research
environment within the SWRDI group, the HANDS unit and, in general, with other
LIST units requiring expertise in the Frugal AI field.
The SWRDI team specializes in the design and development of smart (i.e. AI-
enhanced) software systems. We believe energy concerns should be part of the
software design from its early stages and therefore, we believe there is the
need to specify resource requirements as part of the requirements engineering
phase. These requirements will be then analysed against the energy/memory
requirements of AI models to optimize the system behaviour while minimizing
the resources consumed by the AI components in it.
We'll expect from you to lead research and innovation (RDI) activities in
Frugal AI. As an experienced researcher, you will take the lead in:
Delivering Research, Development and Innovation (RDI) activities.
Developing and coaching the LIST RDI teams in this topic; and
Maximising the impact of Frugal AI initiatives through externally funded
projects with public or private organisations.
Your role will include:
Lead the research, development and innovation (RDI) activities on the
Frugal AI topic, defining and shaping research directions in line with
LIST's strategic objectives.
Drive the development of innovative Frugal AI technologies and
methodologies.
Develop and manage RDI project proposals, ensuring alignment with
strategic research objectives at the group and unit level. Identify
funding and grant opportunities; prepare and submit proposals to secure
financial support for RDI activities.
Oversee the execution of RDI projects with external partners, ensuring
that they meet their objectives, timelines and budgets.
Align with ongoing standards around Frugal AI and Green AI and explore
opportunities and collaborations with the consortia behind those
standards.
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 (inter)national consortia and contribute
to collaborative research projects.
Increase LIST's visibility in the AI field through publications,
presentations and participation in relevant forums and conferences.
Deep scientific and technical expertise, demonstrated by publications and
successful RDI projects, in at least some of these topics is required:
Frugal AI / Green AI and, in general, the design and deployment of AI
models in low-resource environments.
Generative AI, including large language models (LLMs), multimodal
foundation models, retrieval augmented generation (RAG), fine-tuning and
optimisation techniques for LLMs.
Use of AI to improve sustainability aspects of AI and non-AI systems based
on an analysis of their current architecture and operational data.
Machine learning and neural network architectures, including
convolutional, recurrent and transformer networks.
MLOps and model management to streamline ML development.
Multimodal input and how multimodality impacts frugality.
Data management, data valorisation and data processing techniques,
including data sandboxes, data spaces, data synthesis and data
augmentation.
AI evaluation, assessment, testing and benchmarking, including AI sandbox.
Knowledge of the latest trends and developments in AI, with the ability to
apply these advances to practical, real-world challenges.
Experience working with business domain experts to apply the above AI
innovation capabilities in at least one vertical domain in the private
and/or public sector, such as finance, space, cybersecurity, energy,
mobility and logistics, defence, manufacturing, education, health, central
or local government, etc.
Sustainable practices and global initiatives in the area (UNESCO
sustainable development goals, digital product passport initiatives,
product circularity data sheets…) that may have influence in the
evolution and growing interest in Frugal AI.
Software engineering and, in particular, low-code technologies. This
includes some knowledge of low-code and no-code AI approaches.
In addition, we would appreciate proven experience in the following soft
skills:
Passion for AI research and technology with a relentless drive for
innovation.
Proven experience in leading and managing RDI projects in AI/ML with a
track record of successful project delivery and innovation.
Experience of building and maintaining collaborative networks with
academic, industrial and research partners, with excellent networking
skills.
Proven ability to work effectively in a multicultural and international
environment, fostering a collaborative and inclusive team culture.
Excellent written and oral communication skills, with the ability to
articulate complex technical concepts to non-expert audiences.
Experience in organising workshops, seminars and conferences to
disseminate research findings and promote community engagement.
Ability to identify emerging research areas and technology trends and set
the direction for future research efforts and technological advances.
Is Your profile described below? Are you our future colleague? Apply
now!
Education
PhD + at least 2 years of experience in advanced AI RDI activities.
Language skills
Fluent English is a requirement. French, German or Luxembourgish is an
advantage.
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
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 B2 Upper intermediate
Write B1 Intermediate
Speak B1 Intermediate
Read B1 Intermediate
Write A1 Beginner
Speak A1 Beginner
minimum required Education
Required work experience in years
2 or more years
Job Category
Details
Employment type
Contract type
Hours per week
40
Location
Country
City
Esch-Sur-Alzette
Contract Type
Permanent contract
Recruiter in charge
Carolina DE LEON
Employment type
Full-Time
UO
DIGITAL (ITIS)
Profile type
Researcher
