Research Assistant, Department of Physics
3 weeks ago
Interested applicants are invited to apply directly at the NUS Career Portal.
Your application will be processed only if you apply via NUS Career Portal.
We regret that only shortlisted candidates will be notified.
The successful candidate will work with Professor Mark Breese on Intelligent computer vision algorithms under a project on “Development of Cone Prism Camera Technology”.
We seek a talented AI engineer specializing in harnessing the power of neuro-linguistic programming (NLP). We seek an individual with a proven track record in leveraging AI to forecast future requirements and drive R&D endeavors.
The main responsibilities of the position include:
- Develop and implement computer vision algorithms and models to analyze and interpret visual data.
- Build and optimize AI software solutions capable of processing large volumes of image & video data efficiently. AI platform may be provided.
- Utilize programming languages such as Python, C++, and libraries like OpenCV to develop robust computer vision applications if needed.
- Evaluate the performance of computer vision models through statistical analysis and testing to ensure accuracy and reliability.
- Provide insights and recommendations based on the analysis of visual data to support strategic decision-making.
- Collaborate closely with a team of machine learning engineers, data scientists, and software developers to integrate computer vision solutions into existing systems or develop new applications.
- Stay updated on latest advancements and trends in computer vision technology, emerging algorithms, techniques, and best practices.
- Communicate progress, findings, and challenges effectively to team.
Qualifications1) Qualifications / Discipline:
• Bachelor’s or Master’s degree in computer science or related field.
• 2-5 years experience as an AI engineer or similar role
2) Skills:
• Willingness to learn and continue developing knowledge in an up-and-coming field.
• Excellent problem-solving skills with the ability to thrive in a demanding, fast-paced work environment.
• Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams.
3) Experience:
• Deep understanding of data science, linear algebra, algorithms, and statistics. (required)
• In-depth knowledge of computer programming languages, such as Python, JavaScript, and C++. (preferred)
• Experience with ML, deep learning, TensorFlow, NLP (required)
• Experience with cloud environment computing (preferred)
Tell employers what skills you have
TensorFlow
Machine Learning
Computer Vision
Reliability
Python
Communication Skills
Statistics
Data Science
Linear Algebra
Computer Vision Technology
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