Associate Editor, AI & ML in Materials Science

IOM3; Greater London; On-site; GBP 80,000 - 100,000; Part time

Job summary

An esteemed academic organization in the UK seeks two dynamic Associate Editors for Materials Science and Technology. Specializing in Computation, AI, and Machine Learning, successful candidates will shape the journal's future, manage manuscript flow, and engage with top researchers. Applicants should possess a high academic degree, extensive experience, and a commitment to diverse scholarship. This opportunity allows for impactful contributions to an influential publication, supported by IOM3 and Sage Publishing.

Qualifications

• 5+ years of experience in the field as a professional or academic.
• International reputation in computation, AI and machine learning.
• Experience in writing to a publishable standard in peer-reviewed outlets.

Responsibilities

• Contributing to the overall vision and direction of the journal.
• Managing the flow of manuscripts and the peer review process.
• Promoting the journal internationally and attending conferences.

Skills

Machine learning for materials design

Microstructure classification

Data-driven materials discovery

Process optimisation

Computational metallurgy

Education

High academic degree in materials science

Job description

An esteemed academic organization in the UK seeks two dynamic Associate Editors for Materials Science and Technology. Specializing in Computation, AI, and Machine Learning, successful candidates will shape the journal's future, manage manuscript flow, and engage with top researchers. Applicants should possess a high academic degree, extensive experience, and a commitment to diverse scholarship. This opportunity allows for impactful contributions to an influential publication, supported by IOM3 and Sage Publishing.