Postdoc in Machine Learning and Computational Chemistry

27 Mar 2024
Job Information

Organisation/Company

University of Luxembourg

Research Field

Physics » Other

Researcher Profile

Recognised Researcher (R2)

Country

Luxembourg

Application Deadline

23 Apr 2024 - 09:01 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

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- and data-driven multiscale modeling design of layered lead halide perovskiTe mAterials for Stable phoTovoltaICs" (PHANTASTIC) joins the efforts and competence of five scientific groups from the Université de Mons (Belgium), INSA of Rennes (France), Technion-Israel Institute of Technology (Israel), Technical University of Dresden (Germany), and the University of Luxemburg (Luxemburg). The global aim is to improve the long-term stability of 3D lead halide perovskites, the main limiting factor for the broad application of the material in industry.

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 100.000 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...

The successful candidate will join the team led by world-renowned professor Dr. Alexandre Tkatchenko, being an ERC grantee and ISI Highly Cited Researcher for several consecutive years now, contributing to the PHANTASTIC international project granted in Luxembourg by Luxembourg National Research Fund (FNR). It is expected for the candidate to perform the following tasks:

• 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

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

We offer...

• 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

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 2-3 professional references.

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by email will not be considered.

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: 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

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

Requirements
Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

University of Luxembourg

Country

Luxembourg

City

Luxembourg

Geofield

Where to apply

Website

https://www.aplitrak.com/?adid=UmVjcnVpdGluZy4yNDM5OC45OTA4QHVuaXZlcnNpdHlvZmx1…

Contact

Phone

STATUS: EXPIRED