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Post-doctoral Fellow (RP3)

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Post-doctoral Fellow (RP3)

Centre for Transformative Garment Production
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Applications are invited for appointment as Post-doctoral Fellow at the Centre for Transformative Garment Production (TransGP), to commence as soon as possible on a fixed-term contract with the possibility of renewal.

Applicants should possess a PhD degree in computer science, information engineering, or a closely related discipline. He/she must be legally permitted to work in Hong Kong.

Applicants must meet the requirements relating to the following areas:

  • Excellent programming skills (e.g. Python) and analytical skills with an interest in computational HRI;
  • Open to collaborations and be self-motivated;
  • Experience with interaction design and/or user studies, ideally for HRI;
  • Practical experience with programming robots or robotic interfaces, ideally for real-world applications;
  • Good (and relevant) publication record in Affective Computing, Social Signal Processing, and/or Human-Robot Interaction or Collaboration, Machine Learning for HRI/Robotics, or a closely related research area;
  • High proficiency in written and spoken English.


Applicants with experience in machine/deep learning, ideally applied to human affective and social behaviour analysis and understanding; or (ii) have experience in user studies for real-world HRI applications; or (iii) have experience with undertaking HRI user studies, ideally related to manufacturing robots (or cobots), are highly preferable.

Job Description

The Fellow will work on an exciting multi-disciplinary project related to transforming garment production within the manufacturing sector by enhancing human-robot collaboration. The aspect of the project the applicant will mainly work on relates to multimodal affective and social signal processing for human operator intention analysis and understanding and designing as well as adapting the machine / robot interfaces and actions for more intuitive and effective human-robot collaboration (HRC). These will be achieved by working with the project team based in HKU and in collaboration with the Cambridge (The Affective Intelligence and Robotics (AFAR) Lab: https://cambridge-afar.github.io/).

Work location: Hong Kong Science Park

Applicants should submit their up-to-date C.V to [via CTgoodjobs Apply Now] quoting the job reference number with availability. Review of applications will commence as soon as possible.

The information provided will be kept confidential and only be used for those purposes relating to your application. We are an equal opportunities employer and welcomes applications from all qualified candidates.

Benefits

Five-day work week, Medical insurance

All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.

More Information

SalaryN/A (Search your salary info in SalaryCheck)
Job Function
Location
  • Hong Kong > Others
Work Model
  • On-site / At the workplace
Industry
Employment Term
  • Full-time
Experience
  • N/A
Career Level
  • Entry level
Education
  • Degree