EXPERIENCED RESEARCHER IN OPTIMISATION (m/f). Luxemburgo

24 months 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/

Discover our IT for Innovative Services department: https://www.list.lu/en/informatics/

How will you contribute?

By joining our team, you will have the opportunity to collaborate with optimisation experts who are applying innovative optimisation techniques across many domains including logistics, manufacturing and supply chain management. One of the main objectives of our team is to support organizations to significantly improve their decision process through the use of state-of-the-art decision making and multi-objective optimization methods and tools. By working with us, you will be able to stay up-to-date with the latest advancements in optimisation techniques, and also have the opportunity to expand your professional network by collaborating with other researchers, institutions and industry partners.

You will be able to:

·      Lead and contribute to RDI projects and work in the development of new knowledge, technology components, prototype design, etc. oriented by clients' needs.

·      Formulate innovative scientific and technological concepts and write corresponding proposals for funding applications.

·      Manage the daily research work allowing the smooth progress of the projects (write technical reports, make presentations at workshops, produce scientific publications, including as first author)

·      Actively collaborate with other researchers in order to promote interdisciplinary activities internally and externally.

·      Participate in mentoring and training of Junior R&T Associates and undergraduates/trainees and supervise or co-supervise PhD students.

·      Be responsible for the realisation of deliverables in the expected time frame.

·      Disseminate, valorise and transfer RDI results (patents, licences, prototypes, publications, technical reports, participation in conferences)

·      Develop scientific and technological networks.

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

Education:

• PhD degree on Computer Science/Engineering or Applied Mathematics.

Required experience and skills:

• Strong background in optimisation theory, algorithms and numerical methods.

• Knowledge of multi-disciplinary optimization, multi-fidelity optimization and uncertainty quantification is a strong asset.

• Experience in programming languages.

• Experience with optimization software tools or packages.

• Grant writing skills and ability to communicate research ideas effectively.

• Clear understanding of the grant proposal submission process

• Sound publication track record in relevant international conferences and journals.

• Ability to present research findings in a clear and concise manner through reports, presentations, and scientific papers.

• Experience in managing research projects, including planning, organizing, and coordinating research activities within specified timelines. Ability to prioritize tasks, set milestones, and monitor progress.

• Strong interpersonal and communication skills to collaborate effectively with cross-functional teams, stakeholders, and industry experts.

• Good communication skills.

• Good written and verbal communication skills in English is mandatory.

Nice to have experience:

• Experience in writing successful grant proposals.

• Familiarity with the different type of funding agencies (FNR, Horizon Europe, etc) and their specific requirements.

• Experience on defining project proposals budget.

• Experience on working with industrial projects or public funded research.

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

Please apply ONLINE formally through the HR system. Applications by email will not be considered.

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