SD-25149 EXPERIENCED RESEARCHER IN DATA-DRIVEN MATERIALS SCIENCE

Aarbechtstitel:

SD-25149 EXPERIENCED RESEARCHER IN DATA-DRIVEN MATERIALS SCIENCE

Firma

Luxembourg Institute of Science & Technology

Aarbechtsbeschreiwung

SD-25149 EXPERIENCED RESEARCHER IN DATA-DRIVEN MATERIALS SCIENCEPermanent contract | BelvalAre you passionate about research? So are we! Come and join usThe 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:How will you contribute?Are you an experienced, forward-thinking scientist with expertise in data-driven approaches for materials science? Join us to transform and accelerate materials research through advanced predictions, simulations, and experimental breakthroughs.In the framework of national and international projects of the PROMAR group, you will be conducting and leading research, development, and innovation (RDI) activities in the field of data-driven methods for materials.This includes:

• Defining, obtaining funding for, executing, and leading RDI projects

• Managing and reporting of RDI projects

• Contributing to other RDI projects, collaborating with colleagues at LIST and abroad

• Mentoring and training of group members, supervising PhD students

• Disseminating, valorising, and transferring RDI results (incl. publications, conference/workshop presentations, patents, licenses, prototypes)

• Maintaining and extending your professional network

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

• Relevant Background: PhD and postdoc or industry experience in computational or experimental science.
• Funding Success: Proven ability to secure research funding.
• Project Management Skills: Experience leading research projects.
• Research Impact: Solid publication record and experience supervising students.
• Technical Skills: Strong Python programming, ideally with open-source contributions.
• Computational Focus: Expertise in ab initio and machine learning-accelerated molecular dynamics.
• Experimental Focus: Experience with machine learning-based screening, inverse design, or robotic setups
• Collaborative Spirit: Positive, hands-on, and team-oriented.

The ideal candidate will also bring:

• Leadership in Research: Experience leading large, multi-partner projects.
• Collaborative Network: Proven record of partnerships across sectors.
• High-Impact Publications: Publications in top journals and conferences.
• Advanced Technical Skills: Python and C++ proficiency.

If you’re ready to make a major impact on materials science, we encourage you to apply.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 onlineYour 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

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

REQUIREDLANGUAGESTo be considered for this position it is crucial that you have knowledge of the following languagesRead C1 AdvancedWrite C1 AdvancedSpeak C1 Advancedminimum required EducationRequired work experience in years4 or more yearsJob CategoryDetailsEmployment typeContract typeHours per week40LocationCountryCityEsch-Sur-AlzetteRecruiter in chargeCarolina DE LEONEmployment typeFull-TimeUOMRTProfile typeResearcherContract TypePermanent contract

Erwaart Pai

Location

Esch-sur-Alzette

Job Datum

Thu, 14 Nov 2024 00:30:41 GMT

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