Recruitment Talk of 2025 Summer Student Research Assistant(s)

Date: 25 March, 2025 (Tuesday)
Time: 11:30 am
Venue: Brainstorming Area, Tam Wing Fan Innovation Wing One, HKU

About the Recruitment Talk

Innovation Academy is looking for a new batch of Full-time Temporary Student Research Assistant(s) (SRA) for Summer 2024 in the following fields:

1. Robotics
2. Generative
3. Internet of Things

The Students Research Assistant(s) will participate in the application development projects in the respective areas with other academic disciplines or industry partners, as coordinated by the Innovation Academy.  They will also involve in designing and delivering workshops.

In this recruitment talk, supervisors and the current SRAs of each stream will share about the internship experience, as well as their existing and upcoming projects.

Details

Innovation Academy is looking for a new group of Full-time Temporary Student Research Assistant(s) (SRAs) for Summer 2025 in the following fields:

  1. GenAI
  2. AI & Computer Vision
  3. Electronics
  4. Robotics (hardware)
  5. Robotics (software)

The SRA(s) will participate in the application development projects in the respective areas with other academic disciplines or industry partners, as coordinated by the Innovation Academy.  They will also involve in designing and delivering workshops.

During this recruitment talk, you will learn about the existing and upcoming projects, as well as the internship experience of the SRAs. Details of the talk are as follows:

Date: 25 March, 2025 (Tuesday)

Time: 11:30 am – 12:30 pm

Venue: Brainstorming Area, Tam Wing Fan Innovation Wing One, HKU

All HKU students are welcome to join!

The appointment will commence from June to August 2025, with the possibility of part-time appointment in the next academic year, subject to satisfactory performance and funding availability.

Project Directions

There are three main projects areas for our student research assistants:

  1. Robotics: Rover, Robotic Arm, Hexapod

    Motion planning and control, computer vision for robotics, human-robot interface, and reinforcement learning

  2. Generative Artificial Intelligence: Historian Assistant and Museum Guide, Social Work Training Chatbot, Digital Twin 

    LLM fine-tuning, AI agents, computer vision

  3. Internet of Things: Crowd Control Sensor

    Sensor networks, machine learning

To Apply for Student Research Assistants (SRAs)

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 (or as soon as possible) to August 2025 with the possibility of renewal in the next semester, subject to satisfactory performance and funding availability.

We welcome undergraduates from all Faculties to apply for this job. Interested students can submit the application via https://forms.gle/xNfq1N3wziprdTcz8 with:

· The latest CV (including the project(s) you have participated in)

· The latest academic transcripts

· Purpose statement for this internship (within 300 words and state your preferences or propose your own projects for this internship)

· Preference on the projects (GenAI / AI & Computer Vision / Electronics / Robotics (hardware) / Robotics (software); multiple options allowed)

· The earliest available date

· (Optional) A video introducing and demonstrating one of your previous projects (preferably related to artificial intelligence and computer vision, GenAI, electronics, or robotics).

on or before March 30, 2025. 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.

Rundown
Session Details
Overview
Introduction of SRA, SRA projects, and application (15 mins)
SRA sharings
Sharing by SRAs (20 mins)
Q&A
Q&A session
Useful Links

HKU AI for Smart Robotics Team