Position Description

Job no: 0064096
Location: Parkville
Role type: Full Time; Continuing 
Faculty: Faculty of Science
Department/School: School of Mathematics and Statistics
Salary: Level B - $114,645 - $136,136; Level C - $140,433 - $161,925 p.a. plus 17% super

IN LINE WITH THE SPECIAL MEASURE H103/2014 PROVIDED FOR UNDER SECTION 12 OF THE EQUAL OPPORTUNITY ACT 2010 (VIC), APPLICATIONS ARE INVITED FROM SUITABLY QUALIFIED CANDIDATES WHO IDENTIFY AS WOMEN (CIS AND TRANS GENDER), NON-BINARY OR GENDER DIVERSE.

• Undertake high-level research in Mathematical or Statistical Data Science
• Prepare and deliver lectures at both undergraduate and postgraduate levels
• Supervise research students at undergraduate, MSc and PhD levels

About the Role
You will undertake high-level research in mathematical or statistical data science with a focus on data science theory, methodology and/or applications. You will also have a strong commitment to teaching and the supervision of research students and be expected to teach mathematics or statistics and its applications to a variety of audiences.

Your responsibilities will include:

• The conduct of research and contribution to knowledge through scholarship, refereed publications and presentations.
• Active supervision of postgraduate, both MSc and PhD, students.
• Effective preparation and delivery of lectures at undergraduate and postgraduate level and assessment of that material, including as Subject Coordinator.
• Proactive development of subject materials and delivery, including the use of modern technology and online resources as appropriate.
• Presentation of research to the public to elevate public awareness of educational and scientific developments and promote critical enquiry and public debate within the community.

Who We Are Looking For
You will have demonstrated excellence in research and possess strong skills in establishing research collaborations with other institutions, both nationally and internationally, while also demonstrating the capacity to secure research funding through competitive grant schemes. You will be adept at teaching both large undergraduate classes and advanced graduate-level mathematical and statistical data science subjects, collaborating effectively with colleagues and contributing to administrative tasks.

You will also have:

• A PhD or equivalent research higher degree in mathematical or statistical data science or a closely related discipline.
• Demonstrated research excellence in relation to career stage including a strong record of publication in data science.
• The ability to interact well with other academic staff and to contribute to the administration of a large school
• Clear potential in graduate student supervision.

For further information regarding responsibilities and requirements, please refer to the attached PD.

This role requires that the successful candidate must undergo and maintain an up-to-date Working with Children Check. This is essential to guarantee a secure environment for all individuals at the University. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures.

Visa sponsorship may be available for this position.

Your New Team – “School of Mathematics and Statistics “
The University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline.

The School of Mathematics and Statistics has a total of 90 continuing teaching and/or research staff; 37 research-only staff and consultants; 19 academic specialists and 16 support staff. In 2023, there were 143 Research Higher Degree and 189 Coursework Master of Science students. The School has had 10 staff members inducted as Fellows of the Academy of Science.

Be Yourself
The University of Melbourne values the unique backgrounds, experiences and contributions that each person brings to our community and welcomes and celebrates diversity.  First Nations people, those identifying as LGBTQIA+, parents, carers, people of all ages, abilities and genders, and people of diverse ethnicity, nationality and faith are encouraged to apply. Our aim is to create a workforce that reflects the diversity of the community in which we live. For more information please visit our Diversity and Inclusion page.

We are dedicated to ensuring barrier-free and inclusive practices to recruit the most talented candidates. If you require reasonable adjustments, please contact the employee listed on the first page of the Position Description found below, with an email containing your name and contact details for a confidential discussion. Please ensure your email is titled "Reasonable Adjustments Request".

Join Us!
If you feel this role is right for you, please apply with the following documents via the folowing link

https://jobs.unimelb.edu.au/en/job/918683/lecturer-senior-lecturer-in-data-science-female-or-nonbinary-applicants-only

• Resume
• Cover Letter outlining your interest and experience
• The responses against the Selection Criteria^ (found in the Position Description)

^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria

Please ensure that you apply through the Apply Now button at the bottom of this advertisement. However, if you have any questions regarding the recruitment process, please feel free to contact Anna Gradoboeva via email at hr-careers@unimelb.edu.au, ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address.

If you have any particular questions regarding the job please follow the details listed on the Position Description.

Applications close: 13 January 2025 11:55 PM Melbourne time zone.

Position Description: 0064096_Lecturer or Senior Lecturer in Data Science (Female or Non-Binary Applicants Only)_PD.pdf