Postdoctoral Researcher in Machine Learning and Computational Chemistry
Université du Luxembourg
- Limpertsberg, Luxembourg
- 83 099 €/an
- Contrat
- Temps-plein
- Developing and training machine learning (ML) models capable of accurately reproducing the complex PES of perovskites, including the parts responsible for long-range ion transport
- Publication of articles in scientific papers and giving talks at international conferences
- A Ph.D. degree in Data Science and Machine Learning, Physics, or Chemistry
- Knowledge of Machine Learning methods and methods of Computational Chemistry
- Strong skills in coding and employing HPC facilities
- Fluent written and verbal communication skills in English
- A dynamic and well-equipped research environment within the Department of Physics and Materials Science
- A breakthrough project combining the efforts of researchers from Belgium, France, Israel, Germany, and Luxembourg provides a unique experience, greatly extending your research network, expertise, and knowledge
- Intensive training in scientific and transferable skills, participation in schools, conferences, and workshops
- A full curriculum
- A cover letter indicating your motivation for this project, relevant experience, and future
- A portfolio of prior work with descriptions of your contributions. Contact information for 2-3 professional references.
- Contract Type: Fixed Term Contract 12 Month (with a possible extension of up to two years)
- Foreseen starting date: June 2024.
- Work Hours: Full Time 40.0 Hours per Week
- Location: Limpertsberg
- Job Reference: UOL06361 / DPHYMS
- Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR).
- A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure.
- A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …