Job no: 0050114
Work type: Fixed Term
Division/Faculty: Melbourne School of Engineering
Department/School: School of Computing and Information Systems
Salary: $72,083 - $97,812 (Level A)
Role & Superannuation rate: Academic - Full time - 9.5% super
The University of Melbourne is consistently ranked among the leading universities in the world, we are globally engaged; comprehensive; research-intensive; and committed to responding to the major challenges of our time.
The Melbourne School of Engineering (MSE) is strongly committed to supporting diversity and flexibility in the workplace. Improving the representation of women is necessary in our goal to innovate and to strengthen MSE’s reputation as a best-in-class centre of research.
About the School of Computing and Information Systems (CIS) We are international research leaders with a focus on delivering impact and making a real difference in three key areas: data and knowledge, platforms and systems, and people and organisations.
At the School of Computing and Information Systems, you'll find curious people, big problems, and plenty of chances to create a real difference in the world.
We are currently seeking a post-doctoral Research Fellow to take on an exciting 12-month position in machine learning and natural language processing. The research will address development and evaluation of adversarial methods for natural language processing methods, considering both the development of attacks, as well as defences to attacks in order to create more robust algorithms.
You will be responsible for independently conducting research aligned to milestones of the project and communicating your findings to a broad audience.
You will work under the direction of Professor Trevor Cohn and Associate Professor Benjamin Rubenstein, building your career in the context of research with strong practical value.
What we offer you
We offer flexibility, whatever that may mean for you. Many of our benefit programs and onsite amenities are aimed at supporting you - including generous leave, child care subsidies, discounted parking, medical and health care. We offer extensive opportunities for personal and professional development, and we’ll support you in doing what you love.
We seek to increase the diversity of our workforce and the representation of all members of our community that have been traditionally under-represented.
If you’re curious, motivated and ready to undertake a meaningful and rewarding role we’re ready to meet you.
To successfully secure this role you will be able to demonstrate:
- A PhD in Computer Science or related field, awarded or submitted for examination.
- An emerging research track record and recognition of high-quality research outputs, evidenced by publications and the development of research initiatives.
- Strong programming skills and the ability to implement practical systems.
- Experience in machine learning and/or computational linguistics.
- Experience in working with minimal supervision, and ability to prioritise tasks to achieve project objectives within timelines.
- Demonstrated capacity to communicate research concepts to technical and non-technical audiences.
- Excellent written and verbal communication skills, demonstrated by presentation of research results at conferences, internal forums and through manuscript submissions.
- Excellent interpersonal skills, including an ability to interact with internal and external stakeholders (academic, administrative and support staff) in a courteous and effective manner.
How to Apply
Apply online, complete the application and upload your Cover Letter and Resume.
While we review your application, get to know us by visiting http://www.eng.unimelb.edu.au/about/join-mse/why-join-mse