Research Fellow

3 weeks ago


Southport, Australia Griffith University Full time

**Company Description** Every institution values excellence. What matters most is why.**
Griffith was created to be a different type of university. You’ll find we’re about leading research, academic excellence, and the transformative power of education. But what sets us apart is why those things matter and how you’ll achieve them.

**Why?** Griffith brings together exceptional minds like yours from across the globe and from all walks of life. Here, we do incredible work, questioning and challenging, always in the pursuit of excellence.

As a Research Fellow, you’ll take on complex local and global challenges, using your skills and experience to advance ‘Temporal Graph Mining for Anomaly Detection on Dynamic Streaming Networks’ and drive meaningful change. Here’s how you’ll make it matter:

- You will work with world-class researchers in the fields of data mining and machine learning, fostering an environment of innovation and discovery.
- You will establish a distinguished track record by pushing the frontiers of research and contributing high-quality papers to prestigious AI conferences and journals.
- This is a fixed term 3 year, full time position and will be primarily based at the Griffith University Gold Coast campus. As Griffith is a multi-campus University you may be required to work across other campus locations._
- Griffith University’s campuses are located on the lands of the Yugarabul, Yuggera, Jagera, Turrbal, Yugambeh and Kombumerri peoples._

**Salary Range**
The full time equivalent base salary will be Research Fellow, Grade 1 range $84,830 - $99,367 per annum + 17% superannuation. The total FTE package will be in the range $99,251 - $116,259 per annum.
**Qualifications**
What matters most is your drive to create a brighter future that benefits all. Through our core principles of excellence, ethics and engagement, you’ll thrive on seeing the direct and lasting impact you’ll have on every community and every future.

You will also have:

- A solid research foundation in graph machine learning and/or anomaly detection, demonstrating your expertise in these cutting-edge areas.
- A robust publication record, with work featured in leading AI conferences and journals including KDD, NeurIPS, WWW, WSDM, AAAI, TKDE, and TNNLS.
- Proven ability to work effectively both as part of a team and autonomously, showcasing flexibility and self-motivation.
- Experience in mentoring and guiding research students or assistants, highlighting your leadership skills and commitment to academic growth.

**Additional Information** Why join Griffith?**
As a values-led organisation, at Griffith University, we've worked hard to create a dynamic and strong organisational culture. We offer:

- Wide range of Learning and Development opportunities
- Mix of on campus and work from home options available and a supportive work environment
- Support with future learning opportunities through our educational staff assistance scheme
- Opportunities for internal mobility

**How to apply**
At Griffith, we’re committed to providing a safe and inclusive environment for all - whoever you are and wherever you’re from. If you require any accommodations, we welcome you to let us know so we can work with you to participate fully in our recruitment experience.

Griffith University values diversity, inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander, and people of all backgrounds to apply. For more information please visit our Equity, Diversity and Inclusion page. Griffith University also maintains a strict zero-tolerance policy against all forms of modern slavery. For more information, please refer to Griffith’s Modern Slavery Policy.
- A covering letter outlining your suitability for the role (please refer to the qualifications above and the position description)
- Current curriculum vitae/resume including full contact details
- Names and contact details of at least three professional referees (no contact will be made without your permission)

**_ Applicants must have unrestricted working rights. Sponsorship is not available for this position._


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