Research Software Engineer (AI/ML, Deep Learning, Image Processing)

Modelsazan Bartar Research Institute specializes in academic programming, scientific simulation, and research-driven software development. Our work focuses on analyzing high-quality scientific publications, identifying innovative research opportunities, developing and optimizing computational models, and implementing advanced simulations for academic research projects.
We are seeking highly motivated Academic Research Programmers with both strong programming skills and a solid research background. The ideal candidate should have hands-on experience in conducting research projects, reproducing and extending published scientific studies, and developing simulation-based solutions suitable for high-impact academic publications.
Before submitting your application, please review the Qualifications and Collaboration Requirements below to ensure your background aligns with the position.
Key Responsibilities
The successful candidate will be expected to independently manage research projects from concept to implementation, including:

• Critically analyzing and reproducing reference research papers.
• Identifying, collecting, preprocessing, and validating appropriate datasets.
• Designing innovative and publishable research ideas based on existing literature.
• Developing, implementing, and optimizing advanced computational models and algorithms.
• Conducting simulation-based research using state-of-the-art methodologies.
• Evaluating experimental results through rigorous scientific analysis.
• Preparing technical reports and research documentation suitable for publication in international journals.
• Collaborating with multidisciplinary research teams on advanced engineering and AI projects.
• Staying up to date with recent advances in computational intelligence and scientific research.

Required Areas of Expertise
Applicants should demonstrate expertise in one or more of the following fields:

• Machine Learning
• Deep Learning
• Artificial Intelligence
• Artificial Neural Networks
• Data Mining
• Computer Vision
• Image Processing
• Internet of Things (IoT)
• Robotics
• Intelligent Systems
• Computational Modeling and Simulation
• Reinforcement Learning

Required Qualifications and Skills
Successful candidates should possess:

• Strong programming skills in Python, MATLAB, or other scientific computing environments.
• Proven experience in implementing and reproducing scientific research and simulation projects.
• Ability to extract, develop, and extend novel research ideas from reference papers.
• Strong understanding of machine learning algorithms, optimization techniques, and computational modeling.
• Experience with dataset preparation, preprocessing, feature engineering, and experimental evaluation.
• Excellent analytical and problem-solving abilities.
• Ability to interpret simulation results and prepare scientific reports.
• High attention to detail in algorithm implementation and software development.
• Strong academic writing and technical documentation skills.
• Good command of English for reading, understanding, and analyzing scientific literature.
• Ability to work independently while contributing effectively within a collaborative research environment.
• Commitment to research integrity, professional ethics, and high-quality scientific standards.
• Strong motivation for continuous learning and keeping up with emerging technologies.

Collaboration Requirements

1. A Master's or Ph.D. degree (or equivalent postgraduate qualification) is required.
2. Exceptional postgraduate students with strong research experience are also encouraged to apply.
3. This is an on-site position at the Research Institute; remote collaboration is not available.
4. Professional experience with engineering simulation software is considered an advantage.
5. Applicants from all engineering and technical disciplines are welcome, provided they demonstrate the required research and technical competencies.
6. Candidates should be organized, reliable, detail-oriented, and capable of managing research projects independently.

If you are passionate about scientific research, artificial intelligence, computational modeling, and developing publishable research with real-world impact, we encourage you to join our research team.