Visa Sponsored Mathematical or Statistical Data Science Position In Australia – APPLY NOW!
Mathematical and statistical data science stands at the forefront of modern problem-solving, empowering researchers and professionals to derive meaningful insights from complex datasets.
This field blends the elegance of mathematical theory with practical statistical methodologies, enabling breakthroughs in areas like artificial intelligence, healthcare analytics and environmental modeling.
By pushing the boundaries of data science theory and developing innovative applications, professionals in this domain contribute to solving some of the world’s most pressing challenges, such as climate change predictions, personalized medicine and financial forecasting. This role not only supports the evolution of cutting-edge data science methodologies but also ensures their effective dissemination through education and public engagement.
As global reliance on data-driven decision-making grows, the contributions of experts in this field become ever more critical, ensuring that data science remains a force for innovation, inclusivity and transformative change.
Position Details
- Job Number: 0064096
- Location: Parkville
- Role Type: Full-Time, Continuing
- Faculty: Faculty of Science
- Department: School of Mathematics and Statistics
- Salary Range:
- Level B: $114,645 – $136,136 per annum
- Level C: $140,433 – $161,925 per annum
- Includes a 17% superannuation benefit.
Special Considerations for Applicants
This role is open under the Special Measure H103/2014, aligned with Section 12 of the Equal Opportunity Act 2010 (VIC).
Applications are encouraged from candidates who identify as women (both cis and transgender), non-binary or gender diverse.
Role Summary
The successful applicant will engage in advanced research in mathematical or statistical data science, focusing on theoretical and methodological advancements or real-world applications. The position also entails significant teaching responsibilities at undergraduate and postgraduate levels, alongside supervising research students.
Core Responsibilities:
- Research and Publications
- Conduct high-quality research contributing to mathematical or statistical data science.
- Publish findings in peer-reviewed journals and present research at academic conferences.
- Student Supervision
- Actively mentor research students, including those pursuing undergraduate, Master’s (MSc) and PhD degrees.
- Teaching Duties
- Prepare and deliver engaging lectures for undergraduate and postgraduate audiences.
- Develop course content and assessments as a Subject Coordinator.
- Innovative Course Development
- Design and enhance subject materials, incorporating modern technology and online resources to facilitate effective learning.
- Community Engagement
- Share research with the wider public to elevate awareness of educational and scientific developments.
- Foster critical inquiry and public debate on relevant topics.
Candidate Profile
The University seeks individuals with a proven research track record and teaching excellence in mathematical or statistical data science. The ideal candidate will exhibit strong collaborative skills and a capacity for securing research funding through competitive grants.
Essential Qualifications and Skills:
- Academic Background
- A PhD or equivalent degree in mathematical or statistical data science or a closely related discipline.
- Research Expertise
- Demonstrated research excellence relative to career stage, with a strong record of publications in reputable journals.
- Experience establishing research collaborations at national and international levels.
- Teaching Proficiency
- Proven ability to teach complex subjects, from large undergraduate classes to advanced postgraduate modules.
- Clear potential for supervising graduate students effectively.
- Administrative Capability
- Capacity to contribute meaningfully to the administration of a large academic department.
Additional Requirements:
- Working with Children Check
- A valid and up-to-date Working with Children Check is mandatory. Candidates without one must complete the process during onboarding.
- Visa Sponsorship
- This position may offer visa sponsorship for eligible candidates.
About the Department: School of Mathematics and Statistics
The University of Melbourne’s School of Mathematics and Statistics is a leader in its field within Australia, recognized for excellence in research and teaching. The School offers a wide range of subjects to undergraduate and postgraduate students while actively engaging with the broader community.
Key Statistics:
- Staff Composition
- 90 continuing teaching/research staff.
- 37 research-only staff and consultants.
- 19 academic specialists.
- 16 support staff.
- Student Numbers (2023)
- 143 Research Higher Degree students.
- 189 Coursework Master of Science students.
- Accolades
- Ten staff members inducted as Fellows of the Academy of Science.
Benefits and Opportunities
The University of Melbourne offers an inclusive, vibrant community and a comprehensive range of benefits. These include:
- Generous Leave Provisions
- Salary Packaging Options
- Health and Well-being Services
- Discounted Graduate Courses
Commitment to Diversity and Inclusion
The University values the contributions of individuals from diverse backgrounds and aims to foster an inclusive environment. Applications are strongly encouraged from:
- First Nations people.
- LGBTQIA+ individuals.
- Parents and carers.
- People of all ages, abilities, genders, ethnicities, nationalities and faiths.
Support for Indigenous Australians:
The University prioritizes being the institution of choice for Indigenous Australians, offering tailored programs to ensure success and growth for Aboriginal and Torres Strait Islander students and staff.
- Indigenous Strategy
- For details, refer to the University’s 2023-2027 Indigenous Strategy at HERE.
Reasonable Adjustments:
If you require accommodations during the recruitment process, contact the recruitment team with “Reasonable Adjustments Request” as the subject line. This ensures barrier-free practices to attract talented candidates.
Application Process
To apply, submit the following documents:
- Resume
- Cover Letter
- Outline your interest in the role and relevant experience.
- Selection Criteria Responses
- Address specific selection criteria as outlined in the Position Description (PD).
Submission:
Click the “Apply Now” button at the bottom of the job advertisement.
- For inquiries about the recruitment process, contact Anna Gradoboeva at hr-careers@unimelb.edu.au. Ensure you include the Job Title and Position Number in the email subject line.
Key Dates
- Advertised On: 2 December 2024 (AUS Eastern Daylight Time)
- Application Deadline: 13 January 2025, 11:55 PM (AUS Eastern Daylight Time)
By applying, you join a dynamic institution committed to advancing education and research while fostering an inclusive and diverse community.
Frequently Asked Questions
What is the focus of this role in mathematical or statistical data science?
The role emphasizes high-level research in data science theory, methodology and applications. It also includes teaching mathematics or statistics at undergraduate and postgraduate levels and supervising research students.
Who is eligible to apply for this position?
In line with the Special Measure H103/2014 under the Equal Opportunity Act, this role is open to individuals who identify as women (cis and transgender), non-binary or gender diverse. Applicants must meet the academic and professional criteria outlined in the job description.
What are the key teaching responsibilities of this role?
The successful candidate will design, deliver and assess course materials for undergraduate and postgraduate programs. Responsibilities include subject coordination and incorporating modern technology into course delivery.
What qualifications are required for this position?
A PhD or equivalent higher research degree in mathematical or statistical data science or a closely related field is essential. Candidates must also demonstrate research excellence and teaching proficiency.
Will the university provide visa sponsorship for international applicants?
Yes, visa sponsorship is available for eligible candidates who meet the role’s requirements and the University’s hiring criteria.
What kind of research is expected from the successful applicant?
The role involves conducting original research that contributes to advancements in mathematical or statistical data science. Publications in peer-reviewed journals and presentations at conferences are integral components.
Is prior teaching experience mandatory?
Yes, candidates should have demonstrated ability to teach large undergraduate classes and advanced graduate-level courses. Experience in supervising MSc and PhD students is highly desirable.
What support is available for Indigenous Australians?
The University offers dedicated programs and resources to support Aboriginal and Torres Strait Islander staff and students, fostering their academic and professional growth.
Are there opportunities for collaboration in this role?
Absolutely. The role encourages collaboration with national and international institutions, as well as interdisciplinary partnerships within the University.
How does this role contribute to diversity and inclusion?
The University of Melbourne is committed to creating an inclusive workforce that reflects the diversity of the community. This role specifically encourages applications from underrepresented genders in academia, promoting equitable opportunities and diverse perspectives in data science.
