PhD Candidate in Advancing Corrosion Science Through AI and High-Throughput Experimentation
Join a new research group at NTNU to revolutionize corrosion science using AI-driven data extraction and high-throughput electrochemical experimentation.
Best for:Best for candidates with a background in engineering or chemistry who are interested in the intersection of materials science, electrochemistry, and artificial intelligence.
Overview
The Department of Mechanical and Industrial Engineering at the Norwegian University of Science and Technology (NTNU) is seeking a PhD candidate to join a newly formed research group focused on corrosion and corrosion protection. This project aims to address the significant economic burden of corrosion by developing a unified knowledge base through AI-driven natural language processing of scientific literature and high-throughput experimental screening. The successful candidate will work on electrochemical corrosion of alloys, specifically targeting applications in carbon capture and storage. This position offers the opportunity to contribute to a growing research environment while pursuing a doctoral degree and gaining experience for a future career in academia or industry.
What you'll do
- Complete doctoral education and obtain a PhD degree.
- Conduct high-quality research within the project framework of AI-driven corrosion data extraction and experimental screening.
- Publish research findings in academic journals and engage in popular science dissemination.
- Actively participate in the Corrosion and Corrosion Protection research group.
- Engage in international activities, including attending conferences, workshops, and professional discussions.
Requirements
Degree required: Master's degree in mechanical and industrial engineering, chemical engineering, chemistry, or materials science.
Degree offered: PhD
Language: English; proficiency required for research and dissemination.
Instruction: English
- Strong academic background with an average grade of B or better on the NTNU grading scale.
- Relevant Master's degree including a major independent project of at least 30 ECTS.
- Demonstrated interest in materials science, electrochemistry, or AI in engineering.
- Good oral and written presentation skills in English.
- Must meet admission requirements for the faculty's Doctoral Programme.
- Must be physically present and available at the institution on a daily basis.
- Must comply with Norwegian export control legislation.
Funding & terms
How to apply
Deadline: 2026-10-14
Applications must be submitted electronically via the Jobbnorge portal. Ensure all required documents, including transcripts, CV, Master's thesis, and a project outline, are attached in English.
- CV
- Bachelor's and Master's transcripts and diplomas
- Master's thesis
- Project outline (max 1500 words)
- Letter of motivation (max 400 words)
- List of publications
- Contact information for three referees
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.