Research Assistant

Dhofar University SAOG; Oman; On-site; OMR 6,000 - 9,000; Full time

Job summary

Dhofar University SAOG is seeking a qualified Research Assistant (RA) with a Master's or Ph.D. in Materials Science, Metallurgy, or closely related fields. The role involves data analysis, developing machine learning models, and authoring research papers. Candidates with backgrounds in Mechanical Engineering, Physics, or Computer Science may be considered. This position offers a unique opportunity to contribute to cutting-edge research in the field of materials science.

Qualifications

• Master's or Ph.D. in Materials Science or closely related field.
• Experience in machine learning and data analysis is essential.
• Background in crystallography or deep learning is advantageous.

Responsibilities

• Compiling and analyzing data.
• Developing machine learning models.
• Authoring analysis and project reports.

Skills

Data Analysis

Machine Learning

Crystallography

Deep Learning

Education

Master's or Ph.D. in Materials Science

Degree in Mechanical Engineering (Materials Focus)

Degree in Physics (Crystallography)

Degree in Computer Science (AI/Deep Learning)

Job description

This research focuses on microstructural analysis of steels, involving:

• Phase identification in low-and high-grade steels under different heat treatments and mechanical processes.
• Crystallographic orientation mapping using electron backscatter diffraction (EBSD) to build a dataset for deep learning (DL) training.
• Selection and implementation of high-performance DL algorithms for phase recognition.
• Investigation of the correlation between microstructure and HE sensitivity.

Research Assistant (RA) position requirements:

We are seeking a highly qualified Research Assistant (RA) with a Master s or Ph.D. in Materials Science, Metallurgy, or a closely related field. Candidates with backgrounds in Mechanical Engineering (Materials Focus)/Physics (Crystallography)/Computer Science (AI/Deep Learning for Materials Science) may also be considered.

Main Responsibilities:

• Compiling and analyzing data.
• Authoring reports, including analysis reports, literature reviews, and final project reports.
• Developing machine learning models.
• Writing research papers related to project findings for potential publication.

Company Industry

• Education
• Training
• Teaching

Department / Functional Area

• R&D
• Research & Development

Keywords

• Research Assistant

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