The candidate should hold a Master degree from a reputed University in the field of social robotics or related topics.
The applicant must have experience in some of the areas as follows:
· Proficient in one or more coding language like C/C++, Python, Java etc.
· Hands on experience in one or more listed area: robot motion control, robot navigation or path planning, RTOS, computer vision, computer graphics, 3D modelling technology or AI and deep learning, ROS (Robot Operating System).
· Deep learning and Convolutional Architecture for Fast Feature Embedding (Caffe).
· Experience with 3D printing including design, modelling, processing.
· Experience with EEG software and technology
· Computational methods for data analysis and brain signal analysis
· Experience in neurobehavioral assessment
· Statement of support of application explaining why you believe you are a suitable candidate for this post, how you meet its requirements and the experience which you have that is relevant. Please highlight particular achievements
· Curriculum vitae with photo
· Two names and contacts of referees
· Salary expectation
· Availability date
Review of applicants will begin immediately and continue until the positions are filled. NTU offers a vibrant multidisciplinary research environment, with both students and faculty members enjoying a host of opportunities for research collaboration with world-leading universities and renowned institutes. There is a strong research culture where innovation and critical enquiry are key features. NTU researchers are immersed in the best of work environment.
We regret that only shortlisted candidates will be notified.
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