Skip to main content Start main content

School of Nursing

Research Associate / Research Assistant (Full-time/Part-time) (three posts)

(Ref. 240802009)

[Appointment period: each for six to eighteen months initially, with possibility of further appointment]

Duties

The appointees will assist the project leader in the research project - “DemensANSYS: Development of an MR brain image analysis platform for dementia research, diagnosis, and treatment based on advanced deep learning models”.  The research group has rich experience in relevant fields and aims at achieving impactful deliverables and publishing high-quality papers in top journals and conferences.  The appointees will be required to:

(a)    research and develop novel deep learning models for medical image analysis; 

(b)    research and develop novel learning algorithms under limited training data;

(c)    develop novel and efficient algorithms for real-time detection and segmentation; 

(d)    write papers and proposals; and

(e)    perform any other duties as assigned by the project leader or his/her delegates. 

Qualifications

Applicants for the Research Associate post should have a master’s degree in Computer Science, Electronic Engineering, Bioengineering, Applied Mathematics, Neuroscience or other related disciplines or a good honours degree in one of the said disciplines with at least three years of research/relevant work experience.  They should also have a good publication record.

Applicants for the Research Assistant post should have an honours degree in one of the above-mentioned disciplines or an equivalent qualification.

Applicants should also: 

(a)    have experience in writing research papers and proposals; 

(b)    have good academic writing skills in English with publications in refereed journals; 

(c)    have good interpersonal and communication skills; 

(d)    have strong enthusiasm in research and a good sense of self-motivation; and

(e)    be responsible and able to work independently.

Applicants are invited to contact Prof. Qin Jing at telephone no. 2766 2464, or via email at harry.qin@polyu.edu.hk for further information.

Conditions of Service

For full-time appointments, a highly competitive remuneration package will be offered.

For part-time appointments, the remuneration rates are HK$173 per hour for the post of Research Associate and HK$122 per hour for the post of Research Assistant.


Consideration of applications will commence on 9 August 2024 until the positions are filled.



Posting date: 2 August 2024