KDnuggets Home » Academic :: Monash (Australia): Faculty in ML/DM  ( 13:n12  )

Faculty in Machine Learning, Data Mining


Monash, a leading international university, has four Tenurable Faculty positions open. We are seeking outstanding researchers in machine learning and data mining amongst other areas. Apply by June 13, 2013.



MonashAt: Monash
Location: Melbourne, Australia
Web: www.monash.edu.au/

Monash University:

  • Leading international university
  • Innovative and creative environment
  • An Australian leader in education, research and work flexibility

At Monash, we want our research to change things for the better, our teaching to set us apart and our social justice agenda to make a global difference. To continue achieving these objectives, we need people who have the same ambitions.

To attract excellent people we know we need to offer excellent benefits and conditions. That's why when you join Monash, you'll join a workplace where fairness and flexibility are standards, not afterthoughts. We offer a variety of professional development opportunities, support for research, generous maternity/parental leave and work arrangements that acknowledge one size doesn't fit all.

The Opportunity
The Faculty of Information Technology is seeking lecturers (Level B/C) to join a highly motivated team of teaching and research staff. You will be expected to contribute to the teaching, research, administrative and engagement activities of the faculty and the University.

Specifically, applicants for the position must be capable of undertaking high-quality teaching in one or more of the following areas:

  • Computational Science (especially computational simulation modelling and visualisation)
  • Network and Information Security
  • Software Engineering
  • Mobile Computing
  • Interaction Design and Digital Creativity.

In addition, applicants for the position must be capable of contributing to the research agenda of at least one of the faculty's strategic research flagship programs:

  • Computational Biology
  • Machine Learning
  • Modelling, Optimisation and Visualisation
  • IT for Resilient Communities.

However, excellent applicants will be considered, even if your IT research falls outside of these research flagships.

You will have a PhD in a relevant field of information technology or engineering. Also you will have demonstrated capacity to independently and effectively conduct lectures, tutorials, assessment and examination marking in relevant unit areas, and evidence of teaching quality (eg student evaluations, peer review, innovations in teaching delivery).

The positions will be based at either the Caulfield or Clayton campuses, but the appointees will be expected to carry out duties at both campuses as required.

These roles are full-time positions; however flexible working arrangements may be negotiated.

Appointment will be made at a level appropriate to the successful applicant's qualifications, experience and in accordance with classification standards for each level.

_Contact_:
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