Call for Editors and Reviewers

We are pleased to invite academic professionals to join the editorial and reviewer teams of the journal Optimizations in Applied Machine Learning. As a peer-reviewed journal, we are dedicated to publishing state-of-the-art research that integrates theory and practice in Machine Learning Research.

Available Positions:

• Editors: Oversee the peer review process and ensure the academic quality and integrity of the published manuscripts.
• Reviewers: Evaluate submitted manuscripts, provide expert feedback, and contribute to enhancing the journal’s academic standards.

Requirements:

• A Ph.D. in the relevant fields of machine learning, deep learning, and artificial intelligence.
• A proven publication record in respected academic journals.
• Previous editorial or reviewing experience is preferred, but not mandatory.
• A strong commitment to maintaining high ethical and academic standards.

Benefits of Joining the Team:

1. Become part of an international academic community dedicated to advancing machine learning research.
2. Receive an official certificate issued by the journal, acknowledging your academic contributions.

Application Process: Interested candidates are invited to send their CV and a brief cover letter outlining their academic background and areas of expertise to: oaml@mri-pub.com

We look forward to welcoming you to our team and contributing to the advancement of humanities and social sciences together.

Optimizations in Applied Machine Learning