Part-time Temporary Student Research Assistant(s) (Semester 2, AY2024/25)
(to commence from February to May 2025)
We are looking for Part-time Temporary Student Research Assistant(s) for Semester 2, AY2024/25. They are expected to work on projects related to artificial intelligence and computer vision, electronics, or robotics. If you do not have any relevant experience yet, no worries. Please check out our previous workshops (https://innoacademy.engg.hku.hk/workshop/) to equip yourself! Getting problems while trying our workshop materials online? Just come to InnoWing or drop us an email for help!
Applicants must be current members of the Innovation Wing, with a strong background in coding, excellent written and spoken English skills, strong interpersonal and communication abilities, and exceptional presentation skills. They should demonstrate high levels of motivation, responsibility, and the ability to work independently, under pressure, and within tight deadlines. The role may require work outside of regular office hours.
The appointment will commence from February (or as soon as possible) to May 2025 with the possibility of renewal in the next semester, subject to satisfactory performance and funding availability.
We welcome undergraduates from all Faculties and MSc students to apply for this job. Interested students can submit your application via https://forms.gle/9AnrpFxbivfVMNkC9 with:
- The latest CV (including the project(s) you have participated)
- The latest academic transcripts
- Purpose statement for this internship (within 300 words)
- Preference on the projects
- The earliest available date
on or before December 31, 2024. 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 posts are filled
Full-time Temporary Student Research Assistant (AI) (Summer 2024)
(to commence from June to August 2024)
Generative AI and AI foundation models, such as GPT, have demonstrated the ability to produce realistic and high-quality content across various media, including text, images, and even videos. These creations can be generated rapidly using simple language commands, resulting in significant time and cost savings. Additionally, these models can extend beyond content generation and be leveraged to develop AI agents capable of reasoning and planning tasks. By combining generative AI with agent-based systems, we can unlock new avenues for intelligent decision-making and problem-solving.
We are looking for Full-time Temporary Student Research Assistants (AI) for Summer 2024. The role involves designing and delivering workshops on fundamental software and tools relevant to various generative AI competencies. Topics will include, but are not limited to, LLM fine-tuning, AI agents, AI and robotics, computer vision, and story generation. Additionally, they will participate in application development projects with other academic disciplines or industry partners, as coordinated by the Innovation Academy.
Applicants must be current members of the Innovation Wing, with a strong background in coding, excellent written and spoken English skills, strong interpersonal and communication abilities, and exceptional presentation skills. They should demonstrate high levels of motivation, responsibility, and the ability to work independently, under pressure, and within tight deadlines. The role may require work outside of regular office hours.
The appointment will commence from June to August 2024, with the possibility of part-time appointment in the next academic year, subject to satisfactory performance and funding availability.
We welcome undergraduates from all Faculties and MSc students to apply for this job. Interested applicants, please send your
- CV (including the project you have participated)
- Purpose statement for this internship (within 300 words)
- Academic transcripts
- The earliest available date
to Innovation Wing (innowing@hku.hk) on or before April 12, 2024. 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 posts are filled.