[Appointment period: twenty-four months initially; with possibility of further appointment] 

Duties

The appointee will report to the Programme Leader and assist in the research projects – “Sharable knowledge database”, “Integrity of sensor data” and “Data Visualization and modelling for processes, products and systems”. He/she will be required to:

(a) manage and lead a team of engineers and data scientists;

(b) develop and deploy an end-to-end data analytics platform using machine (deep) learning for the centre’s partners;

(c) interact with the industry partners to understand their needs and requirements; and

(d) perform any other duties as assigned by the Centre Director or his delegates.

Qualifications 

Applicants should have:

(a) a master’s degree, preferably with a doctoral degree in Computer Science, Electronic Engineering, Statistics or a relevant discipline,;

(b) at least five years of experience in end-to-end machine learning systems, including data processing, feature engineering and tuning of machine learning models in training and production, with both structured and unstructured data;

(c) at least five years of management experience in leading a team with at least five members;

(d) solid understanding of common statistical and machine learning techniques, both classical machine learning and deep learning;

(e) skills in deep learning frameworks (e.g., Tensorflow, PyTorch, Caffe, MxNet) and major programming languages (e.g. C/C++, Python, R);

(f) experience in application development practices;

(g) experience in working on big data pipelines and cloud solutions;

(h) ability to work independently and be a good team player to take initiative and lead engagement; and

(i) a good command of both written and spoken English and Chinese.

Remuneration

A highly competitive remuneration package will be offered. Applicants should state their current and expected salary in the application.

Application

Please send a completed application form, together with a detailed curriculum vitae by clicking 立即申請 . Application form can be downloaded from https://www.polyu.edu.hk/hro/job/en/form/hrformcairs.docx. Recruitment will continue until the position is filled. The CAiRS reserves the right to fill or not to fill the position. Personal data provided by applicants will be used for recruitment and other employment related purpose. The Personal Information Collection Statement for recruitment can be found at https://www.polyu.edu.hk/hro/job/en/aff-ass/CAiRS/PICSCAiRS.pdf.

CAiRS is an equal opportunity employer committed to diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, nationality, family status or physical or mental disabilities.