Postdoctoral Researcher in Machine Learning and

il y a 2 semaines

Luxembourg, Luxembourg University of Luxembourg Temps plein

The University | About us...
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world.

The University's faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History.

In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine.

Times Higher Education ranks the University of Luxembourg #3 worldwide for its "international outlook," #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.


The Faculty of Science, Technology and Medicine (FSTM) contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine.

Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens, in order to better understand, explain and advance society and environment we live in.


Project
The project "PHysics

The role of the TCP group, led by Prof.

Alexandre Tkatchenko from the University of Luxemburg, is to develop reliable, efficient, and accurate machine learning force fields (MLFF) for molecular dynamics simulation of systems sizes ranging from ~1000 to atoms while preserving the predictive power of first-principles modeling.

Moreover, such simulations should correctly reproduce the formation and propagation of defects.

This is a must-have requirement for any MLFF used to improve the stability of any material in general and 3D lead halide perovskites in particular.

The novel equivariant MLFFs will be used with state-of-the-art training and sampling approaches, efficient DFT calculations, and recent developments in vdW methods to achieve this goal.

These push the project to the frontiers of modern MLFF capabilities, making it challenging, engaging, and impactful.

Your Role...

  • Developing and training machine learning (ML) models capable of accurately reproducing the complex PES of perovskites, including the parts responsible for longrange ion transport
  • Publication of articles in scientific papers and giving talks at international conferences

What we expect from you

  • 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

How to apply...

 Applications should include**:

  • 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 23 professional references.
The University of Luxembourg embraces inclusion and diversity as key values.

We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.


General information:

  • Contract Type: Befristeter Vertrag 12 Monat (with a possible extension of up to two years)
  • Foreseen starting date: June 202
  • Work Hours: Full Time 40.0 Stunden pro Woche
  • Location: Limpertsberg
  • Job Reference: UOL06361
/ DPHYMS

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 83099 full time

In return you will get
-
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

  • Find out more about the University
  • Addresses, maps & routes to the various sites of the University

Job Reference:
UOL06361

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