PhD in AI for Materials Science: LLMs & Data Extraction

Marie Kristiansen; Trondheim; On-site; NOK 496,000 - 606,000; Full time

Benefits offered by this job

Mentor programme

SPK pension

Norwegian language training

Job summary

NTNU in Trondheim invites applications for a PhD Candidate in machine learning for materials science. The position combines doctoral studies with hands-on research within the FACET group, collaborating with Norsk Regnesentral.

The candidate will develop and evaluate LLM-assisted methods to extract and interpret materials data, focusing on phase diagrams for inorganic materials. You will perform high-quality research, complete the PhD education, publish results, and participate in NTNU–Norsk

Qualifications

• Master's degree in materials science, solid-state chemistry, condensed matter physics, or related discipline with 120 credits at master's level.
• Strong academic record with average grade B or better.
• Admission to the NV faculty's Doctoral Programme.
• Experience with Python or computational materials science/chemistry.
• Good oral and written English.

Responsibilities

• Perform high-quality research within the scope of the project.
• Complete the PhD education and training programme.
• Publish results in internationally recognised journals and conferences.
• Actively participate in and develop the collaboration between NTNU and Norsk Regnesentral.
• Contribute to a constructive and inclusive research environment.

Skills

Python

English communication

Independent researcher

Team collaboration

Education

Master's degree in materials science or related field (5-year Norwegian master's)

Job description

NTNU in Trondheim invites applications for a PhD Candidate in machine learning for materials science. The position combines doctoral studies with hands-on research within the FACET group, collaborating with Norsk Regnesentral.

The candidate will develop and evaluate LLM-assisted methods to extract and interpret materials data, focusing on phase diagrams for inorganic materials. You will perform high-quality research, complete the PhD education, publish results, and participate in NTNU–Norsk