Full-time Temporary Student Research Assistant (Summer 2023)
(to commence from May/June to August 2023)
Intelligent robots with localization and auto-piloting capabilities are designed to operate autonomously, without human intervention. These robots are equipped with various sensors and navigational methods such as LiDAR, computer vision, and GPS, allowing them to identify their surroundings and navigate through them accurately. Through the integration of advanced algorithms and machine learning, these robots can adapt and respond to changes in the environment, enabling them to perform tasks in a wider range of applications such as transportation, logistics, agriculture, mining, and search and rescue missions. Intelligent robots with localization and auto-piloting capabilities become increasingly popular in various industries, offering increased efficiency, productivity, and safety. With ongoing advancements in technology, we expect to see more sophisticated and capable intelligent robots in the future.
We are hiring Full-time Temporary Student Research Assistant(s) for the summer 2023 to assist in developing robots for intelligence application, such as localization, auto piloting and object recognition, with related technology including LiDAR, computer vision or GPS. The research assistant(s) will also assist in developing hands-on workshops and preparing training / learning materials for our members. Applicants should be a current member of the Innovation Wing. They should have an excellent command of written and spoken English, good interpersonal and communication skills. They should also demonstrate excellent presentation skills. They should be highly motivated, responsible, able to work independently, work under pressure and meet tight deadlines. They may be required to work outside office hours.
The appointment will commence from May/June to August 2023, with the possibility of part-time appointment in the next academic year, subject to satisfactory performance and funding availability. Unexperienced students will be provided with training on robot firmware programming, programming with the Robot Operating System (ROS) framework, and AI programming framework.
We welcome undergraduates from all Faculties to apply for this position. Interested applicants, please send your
- CV
- Academic transcripts
- The earliest available date
to Innovation Wing (innowing@hku.hk) on or before May 28, 2023. A confirmation email will be sent to you and an interview will be scheduled for shortlisted applicants.
Review of applications will commence as soon as possible and continue until the positions are filled.