Verified current PhD Opportunity

PhD Candidate in Large Language Models for Data Extraction and Reasoning in Materials Science

NTNU is recruiting a three-year PhD candidate to develop large-language-model methods for extracting, organising and reasoning over materials-science data, initially focusing on phase diagrams and inorganic materials.

PhD Opportunity Full source details
✓ 100% verification score · Source: NTNU via Jobbnorge · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
DeadlineSun Sep 20 2026
EmploymentFull-time 3-year fixed-term PhD appointment
CountryNorway

Overview

NTNU is recruiting a three-year PhD candidate to develop large-language-model methods for extracting, organising and reasoning over materials-science data, initially focusing on phase diagrams and inorganic materials.

Complete research opportunity details

The Research Council of Norway-funded project is a collaboration between NTNU and Norsk Regnesentral. The candidate will develop and assess LLM-assisted methods, formulate testable materials hypotheses, publish results and spend extended research periods with the Norwegian Computing Centre.

Eligibility requirements

A relevant Master's degree in materials science, solid-state chemistry, condensed matter physics or a closely related discipline is required, normally corresponding to a five-year Norwegian programme with 120 Master's-level credits. Applicants normally need a B-equivalent Master's average, admission eligibility for the relevant NTNU doctoral programme, documented Python or related programming/computational materials experience and good English.

Tips for this phd opportunity

Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Match your research background to the project, laboratory, supervisor and required methods rather than applying only from the title.
  2. Prepare a focused academic CV, transcripts, publications and research statement or proposal when requested by the official call.
  3. Confirm funding duration, stipend/salary, tuition coverage, start date and eligibility for international applicants.
  4. Contact a supervisor before applying only when the official instructions recommend or require it.

Verification notes

Primary-source verification on 7 September 2026 from NTNU's official Jobbnorge advertisement and current NTNU Jobbnorge feed. Jobbnorge ID 307723; deadline 2026-09-20. No closing clock time is stated, so only deadline_date is populated. Official Jobbnorge PDF states the three-year position is conditional on external funding and requires admission to NTNU's Materials Science and Engineering PhD programme within three months of employment.

Original authoritative source

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