Postdoctoral Researcher Position In Ai/dft/dmft Computational Materials Discovery - Aalto University
Aalto University
Espoo, Finland
4,229€ to 4,649€ pm; not specified; occupytional h...
Machine learning algorithms for materials discovery
Density functional theory (dft) expertise
Condensed matter physics knowledge
The role focuses on developing machine learning algorithms to predict new classes of superconducting materials beyond traditional substitutional frameworks
Job Summary
The role focuses on developing machine learning algorithms to predict new classes of superconducting materials beyond traditional substitutional frameworks.
Candidates will work closely with leading scientists Andrei Bernevig and Päivi Törmä within the Finnish Center of Excellence in Quantum Materials.
The position offers access to outstanding computational infrastructure including the LUMI supercomputer and opportunities for international visits.
Matching Summary
The role focuses on developing machine learning algorithms to predict new classes of superconducting materials beyond traditional substitutional frameworks.
Salary
4229€ to 4649€ per month; Not specified; Occupational healthcare included
Skills & Requirements
Must-have
Machine learning algorithms for materials discovery
Density functional theory (DFT) expertise
Condensed matter physics knowledge
Symmetry aware learning experience
Group theory understanding
Nice-to-have
Experience with quantum geometry in flat bands
Collaboration with experimental synthesis teams
Background in topological materials prediction
Ability to disseminate scientific results effectively
Key Requirements
PhD degree in a suitable field required
Excellent numerical skills demonstrated
Deep understanding of condensed-matter physics concepts