Research Assistant in Carbon Stock Estimation and Biodiversity Assessment

Key Responsibilities:

• Assist in data collection and analysis for AI training tasks.
• Support the design and development of deep learning models.
• Analyze results and prepare reports for internal use and external dissemination, including research publications.
• Collaborate with PhD students, postdocs, and senior researchers to achieve project milestones.
• Participate in team meetings, workshops, and conferences as required.

Qualifications:

• Bachelor’s or Master’s degree in Mathematics, Information Technology, Computer Science, or a related field. Current Master’s students are also encouraged to apply.
• Experience in Python programming and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) is desirable.
• Basic understanding of AI and machine learning concepts, particularly in model training.
• Have strong experience in convolutional neural networks (CNNs) and deep learning for image processing.
• Excellent written and verbal communication skills in English.
• Experience in academic research is a plus.

What we offer:

• Competitive Salary: An attractive salary is negotiable based on experience and expertise..
• Co-authorship opportunities in publications for high-ranked journals.
• Collaboration with a diverse team of researchers, including PhDs, postdocs, and faculty members.
• Access to all facilities, including the sports complex, at VinUniversity campus.
• Opportunity to work on cutting-edge AI research projects.
• VinUniversity is an equal-opportunity employer committed to diversity and inclusion in the workplace.

How to Apply: