Remote Materials ML Benchmark Scientist

ixolabs.ai; France; Sur place; EUR 192 000 - 251 000; Temps partiel

Résumé du poste

IXO is seeking specialists to evaluate machine-learning models that utilize computational materials data to provide meaningful assessments. Your work will be technical, scrutinizing reasoning and delivering evidence-based judgments.

Remote assignments are available with flexible hours (10–20 hours/week per track; 2–3 week durations). Pay is hourly at USD 160–210, with criteria agreed before work begins.

Qualifications

• A relevant master's or doctorate and at least one first-author paper in a peer-reviewed journal.
• Demonstrated ML expertise combined with computational materials practice, such as force fields, DFT, atomistic simulation or materials informatics; independent technical problem solving.

Responsabilités

• Build or evaluate models for property prediction, materials discovery or structure–property relationships.
• Work with DFT, molecular-dynamics, Monte Carlo or related simulation outputs, checking how the data supports the learning objective.
• Develop reproducible materials-informatics pipelines and document the modeling assumptions, evaluation and scientific interpretation.

Connaissances

ML expertise

Computational materials

Independent problem solving

First-author paper

Formation

Master's or PhD in a relevant field

Outils

ASE

LAMMPS

Quantum ESPRESSO

VASP

Description du poste

IXO is seeking specialists to evaluate machine-learning models that utilize computational materials data to provide meaningful assessments. Your work will be technical, scrutinizing reasoning and delivering evidence-based judgments.

Remote assignments are available with flexible hours (10–20 hours/week per track; 2–3 week durations). Pay is hourly at USD 160–210, with criteria agreed before work begins.