Tel no. (66-2) 524-5056
Research Associate
|
---|
Qualifications and Experience:
- Bachelor’s Degree or equivalent in Computer Science, Software Engineering, or related fields
- At least one year experience in software development
- Experience in computer vision, image processing, and video analytics.
- Experience in developing and implementing AI algorithms and models.
- Knowledge of computer networks and protocols.
Skills and Capabilities
- Strong Python programming skills
- Good understanding of deep learning and computer vision
- Familiarity with edge computing and embedded systems
- Deep learning framework experience, including TensorFlow and Keras
- Proficiency in object detection algorithms
- Knowledge of TensorRT (advantageous)
- Excellent communication and collaboration skills
- Ability to work in a team and under tight deadlines.
- Knowledge and experience in environmental science or waste management (a plus)
Key Responsibilities:
- Implement computer vision algorithms for AI-enabled CCTV.
- Work with the technical team to integrate the AI-enabled CCTV system with the existing network infrastructure.
- Develop and test software for the AI-enabled CCTV system.
- Fine-tune the AI models and improve detection accuracy.
- Provide technical support to the project team and stakeholders.
- Conduct development to improve the functionality and performance of the AI-enabled CCTV system.
- Collaborate with a research team on the integration of the models into existing systems Skills and Qualifications.
​We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, or any other characteristics protected by law. |
To apply, please register online and complete the registration form. You must create your own username and password, once completed, go back to the advertisement page and click the "Apply Now" button. Please do not forget to upload your comprehensive resume which shall include your letter of application, a recent photograph, and the names, affiliations, addresses and telephone numbers of three referees who are familiar with candidates' competencies. Save all your documents in one file and upload a single file. |