Research Fellow

**Research Fellow - Machine Learning**:
**Position Number**: 0065657
**Location**: Parkville
**Role type**: Full-time; Fixed-term for 4 years
**Faculty**:Engineering and Information Technology
**School**:Computing and Information Systems
**Salary**: Academic Level A - $83,468 - $113,262 p.a. plus 17% super
- Conduct independent research / Collaborate with leading academics / Publish in prestigious journals
- to drive innovation in machine learning and spatial data management at a world-class institution
- Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.

**The University of Melbourne**
We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website and stay connected with our stories and people on LinkedIn.

**Your next career opportunity**
As a Research Fellow in the School of Computing and Information Systems, you'll lead cutting-edge research in machine learning for spatial data management. You'll have the opportunity to publish in top-tier venues, collaborate with renowned academics, and contribute to the school's strong research programme. This role offers you the chance to shape the future of computer science while developing your own research profile in a supportive, world-class institution.

**Your responsibilities will include**:

- Conduct Innovative Research: Plan and execute independent research in machine learning and spatial data management, analysing data and communicating findings.
- Publish and Present: Prepare manuscripts for top-tier conferences and journals, and present results at national forums.
- Collaborate and Mentor: Work with internal and external stakeholders, supervise junior researchers, and contribute to the school's research output.
- Contribute to Teaching: Deliver lectures, tutorials, and laboratory sessions, while supervising and mentoring students in your area of expertise.

**You may be a great fit if**:
You are a passionate researcher with a PhD in Computer Science or a related field, experienced in machine learning for spatial data management, with a track record of publications in top-tier venues such as SIGMOD, VLDB, ICML, NeurIPS, ICLR, or TPAMI.

**You may also**:

- Have a strong background in machine learning, particularly foundation models for spatial data management.
- Possess excellent analytical and problem-solving skills.
- Demonstrate the ability to work independently and as part of a collaborative research team.
- Show enthusiasm for mentoring junior researchers and contributing to the academic community.

For further information please refer to the attached PD.

**What we offer you**
We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfillment, including:

- Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being
- Progressive, considerate leave provisions to empower your work-life balance
- Salary packaging and access to a range of discounted services including Bupa health insurance
- Health and well-being services including a leading Employee Assistance Program
- Comprehensive career development and training, plus a 25% discount on UniMelb graduate courses for your immediate family members

For more information check out our benefits page

**Your new team - School of Computing and Information Systems**
The School of Computing & Information Systems (CIS) undertakes research and teaching across a range of information technology disciplines including Software Engineering, Information Systems, and Computer Science. CIS is the most highly ranked School of Computing and Information Systems in Australia according to all major rankings (THE, QS, ARWU). It offers a comprehensive range of IT and IS courses at all levels, including offerings in science, engineering, and business, and is at the forefront of computing research in Australia and internationally with close links to major computing research initiatives, including Melbourne Bioinformatics, CSL, The Cremorne Digital Hub and CSIRO’s DATA61.
The School’s aim is to attract and retain outstanding staff in order to maintain a leading research and teaching profile. We have an existing highly successful research team in the area of the appointment, a large number of PhD students, and a substantial cohort of graduate students in our coursework Master programs.

**Be Yourself**
The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We are committed to creating an inclusive and equitable workplace where all individuals feel valued, respected, and have the opportunity to thrive regardless of gender identity, ethnicity, sexual orientation, disability, age, being a parent or having caring responsibilities.

**Aboriginal and Torres Str