Lecturer - Data Science
UNSW

School of Mathematics and Statistics

About the role

• $107K - $126K plus 17% Superannuation and annual leave loading
• Fixed Term - 5 years convertible tenure track
• Full time (35 hours)

The Lecturer in Data Science will conduct research in Data Science & Statistics and align, where possible, with the existing research strengths in the School, contribute actively to the School’s teaching activities in Data Science and Statistics across a range of undergraduate and postgraduate courses, including online teaching and engage with the community and industry to build links in Data Science.

The role of Lecturer reports to the Head of School and has no direct reports.

Specific responsibilities for this role include:

• Perform research in Data Science and Statistics with a view to publication in influential and high-impact scholarly journals.
• Work both collaboratively and independently on research grant proposals and applications to national competitive grant agencies and other funding bodies.
• Develop research collaborations within the School as well as links with other groups on campus and with industry.
• Develop research collaborations nationally and internationally.
• Actively disseminate research findings at seminars and conferences within the School, the UNSW environment, nationally and internationally.
• Teach courses in Statistics and Data Science to a range of audiences at the University.
• Teach specialist Honours and Masters level courses.
• Supervise Honours and Masters Course Work projects; and supervise PhD and Masters Research students.
• Contribute to the design and delivery of the School’s face-to-face teaching programs and courses.
• Contribute to the design and delivery of the School’s online teaching programs and courses.
• Actively participate in School activities and demonstrate an ability and willingness take on leadership roles in the School.
• Undertake administrative duties as specified by the Head of School and participate in School, Faculty and/or University committees as required.
• Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others.

About the successful applicant

To be successful in this role you will have:

• PhD or equivalent qualification in relevant mathematical sciences.
• Demonstrated research ability in Data Science and Statistics.
• Demonstrated ability to conduct research with other researchers in the School.
• Evidence of effective teaching experience.
• Evidence of research group collaborations.
• Demonstrated capacity to conduct high quality research at an international level.
• Strong publication record in top, peer-reviewed journals.
• A record, or demonstrated ability, of success in external research funding.
• Demonstrated ability to supervise PhD students.
• Demonstrated experience in student supervision including, for example, Honours, Masters, Vacation Scholars projects.
• Willingness to engage in teaching into online programs in Data Science and Statistics.
• Excellent oral and written communication skills.
• Excellent leadership skills, including competence in modelling behaviours that align with the University’s values and the ability to foster these in staff, students and the broader University community.
• Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

You should systematically address the selection criteria listed within the position description in your application. For informal queries, please see the below contact details. 

For more information and to apply, click here.