[cmath] Head of Department of Data Science and Artificial Intelligence (Ref. 240308018) - Hong Kong Polytechnic University

[Xinxin Z]

The Hong Kong Polytechnic University

With over 85 years of rich heritage, The Hong Kong Polytechnic 
University (PolyU) has evolved alongside society and made pivotal 
contributions to the development of Hong Kong, the Nation and the world. 
The University pursues world-class excellence in education and research 
to nurture socially responsible leaders and professionals, as well as to 
drive impactful research and innovation. PolyU will strive to 
continually excel as an innovative world-class university that makes a 
positive impact on society, living up to the University’s motto of “To 
learn and to apply, for the benefit of mankind”.

Ranked among the top 100 universities globally by well-known ranking 
organisations such as Quacquarelli Symonds (QS), Times Higher Education 
(THE) and U.S. News & World Report, PolyU offers a wide range of 
world-class educational and research programmes in six faculties and 
three independent schools. PolyU has furthermore achieved remarkable 
results in the latest QS World University Rankings by Subject 2023 – it 
was ranked among the top 20 universities in three subjects and top 100 
universities in 14 subjects/subject areas in the world.

For further details about the University, please visit PolyU’s website 
at_http://www.polyu.edu.hk/_.

*Department of Data Science and Artificial Intelligence*

The Department of Data Science and Artificial Intelligence (DSAI) is a 
multi-disciplinary department to be established with effect from 1 July 
2024 and temporarily hosted under the Faculty of Engineering with a plan 
to transfer to a new Faculty to be established later. DSAI will be at 
the forefront of cutting-edge technology and innovation, driving forward 
the fields of Data Science (DS) and Artificial Intelligence (AI). The 
Department envisions to cultivate a comprehensive curriculum that 
encompasses key research pillars such as Big Data Analytics and 
Management, Machine Learning and Optimization, Deep Learning, Biometrics 
Processing, Natural Language Processing, Computer Vision and Graphics, 
and Bioinformatics. There will be around 25 academic or teaching staff, 
and 16 technical or administrative personnel in the Department.

The University is now inviting applications and nominations for the post 
of Head of Department of Data Science and Artificial Intelligence. The 
successful candidate will be appointed Chair Professor/Professor 
normally on regular terms of appointment (equivalent to tenured 
professorship), commensurate with his/her qualifications and experience, 
and will hold a concurrent headship appointment. The concurrent headship 
appointment is normally for an aggregate period of six years in two 
three-year terms of office. Other suitable candidate(s) from the search, 
if deemed appropriate by the University, may be appointed Chair 
Professor/Professor if not as Head of Department.

*Job Functions*

The position calls for a visionary academic leader with responsibilities 
of ensuring the smooth and successful operation and sustainable 
development of the Department. Reporting directly to the Dean of Faculty 
of Engineering, the appointee will be required to:

(a) provide effective leadership in the development of long-term 
strategies and plans of the Department, in alignment with the 
University’s Strategic Plan; and coach and empower subordinates so that 
they can accomplish planned objectives with world-class standards and in 
an effective and efficient manner;

(b) ensure high-quality teaching as well as holistic development of the 
students, and align the Department’s programmes with the needs of the 
community;

(c) facilitate the conduct of innovative and original research of high 
quality and impact, and promote and develop genuine interdisciplinary / 
departmental research with the optimal use of research funds;

(d) provide leadership in technology development, commercialisation and 
entrepreneurship initiatives to extend the impact of research outcomes 
of the University to the community;

(e) provide leadership in developing a strong network of partnership 
with leading tertiary institutions for opportunities and collaboration 
in education, research and knowledge transfer activities;

(f) enhance the local and international networks of partnerships and 
linkages with the community, particularly the professional, public and 
business sectors, so as to gain their support for the major strategic 
initiatives of the University;

(g) ensure effective internal communication that leads to a transparent 
decision-making process and promote the Department’s strengths and other 
services to all relevant stakeholders;

(h) ensure optimal deployment of human, financial and other resources in 
the Department;

(i) implement an effective mechanism to acquire donations and other 
forms of sponsorship to support the University’s pursuits and long-term 
development; and

(j) undertake other duties as assigned by the Dean of Faculty or the 
Central Management Team of the University from time to time.

*Qualifications*

Applicants should have:

(a) academic qualifications at the doctoral level in a relevant academic 
discipline, evidence of eminent scholarship and substantial relevant 
experience in a senior academic position, and relevant professional 
qualification and registration where appropriate;

(b) attainment of an academic rank of full professor or above at an 
internationally recognised university;

(c) a distinguished international reputation in research and 
scholarship, and demonstrated international leadership in any one or 
more of the specialist areas, namely (i) Machine Learning and 
Optimization; (ii) Big Data Analytics and Management; (iii) Computer 
Vision and Graphics; (iv) Biometrics Processing; (v) AI for Science; and 
(vi) AI for Healthcare;

(d) a strong record in attracting competitive research funding and 
working with industry;

(e) a demonstrated commitment to excellence in teaching;

(f) a global perspective, proven qualities of academic leadership and 
substantial administration / management experience, as well as the 
demonstrated ability of building up a strong team of faculty members 
with different research and cultural backgrounds;

(g) effective interpersonal communication and resources management 
skills, and excellent adaptability to changes and challenges;

(h) good knowledge of the higher educational environment in the local 
and global context; and

(i) a high standard of personal integrity.

Experience in fund-raising will be an additional advantage.

*Conditions of Service*

Terms of appointment and remuneration package are negotiable and highly 
competitive. For general information on terms and conditions for 
appointment of academic staff in the University, please visit the 
website at_https://www.polyu.edu.hk/hro/docdrive/careers/doc/Prof.pdf_.

*Application and Nomination*

The University invites applications and nominations for this 
appointment. Please submit an application through PolyU’s career website 
(_https://jobs.polyu.edu.hk/deans_heads_). Candidature may also be 
recommended by nominations via email to the Chairman of the Search 
Committee for recruitment of Head of Department of Data Science and 
Artificial Intelligence at_hrscdsai at polyu.edu.hk_.*Consideration of 
applications and nominations will commence in mid-May 2024 until the 
position is filled.*General information about the University is 
available at_http://www.polyu.edu.hk_or from the Human Resources Office 
[Tel: (852) 2766 6562]. The University’s Personal Information Collection 
Statement for recruitment can be found 
at_https://www.polyu.edu.hk/hro/careers/pics_for_recruitment_.

/PolyU 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./

------------------------------------------------------------------------
This employment posting is among those listed in the Careers section of 
the CMS website:
https://cms.math.ca/careers
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.cms.math.ca/pipermail/cmath/attachments/20240313/3d3b7024/attachment.htm