Join Our Dynamic Research Team at VinUni
Position Overview
We're seeking a passionate Research Assistant specializing in carbon stock estimation and biodiversity assessment.
Important Dates
Application deadline: June 30, 2026
Compensation
Salary commensurate with professional experience
Contract Type
Service contract position
Location
Based in Hanoi
Department
Affiliated with Research Centers
Core Responsibilities:
- Support AI training initiatives through data analysis and management.
- Contribute to deep learning model architecture and implementation.
- Produce comprehensive reports and research papers for publication.
- Work collaboratively with senior researchers and doctoral candidates on key projects.
- Engage actively in academic conferences and internal knowledge-sharing sessions.
Required Expertise:
- Advanced degree in Mathematics, IT, CS, or related fields (Master's preferred).
- Proficient in Python with experience in machine learning libraries such as TensorFlow or PyTorch.
- Strong foundation in artificial intelligence principles and CNN applications.
- Exceptional communication abilities in English for both written and oral presentations.
- Prior involvement in scholarly research activities is highly valued.
Our Commitments:
- Competitive compensation package based on qualifications.
- Authorship opportunities in prestigious academic journals.
- Access to state-of-the-art research facilities across campus.
- Inclusive environment fostering collaboration among diverse scholars.
- Comprehensive benefits supporting professional growth and development.
Application Process:
Submit your complete CV along with supporting documents as one consolidated PDF titled: Research_Assistant_YourName_CV.pdf.
Use subject line: Research Assistant – Carbon Stock Estimation
Email applications to: [email protected], CC: Dr. Nidal Kamel at [email protected].
Selection will proceed continuously until qualified candidates are identified. Shortlisted applicants will receive direct contact regarding next steps.
