Lecturer (Applied Statistics or Operations Research)
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 School of Mathematical Sciences is seeking two suitably qualified and enthusiastic Lecturers in Applied Statistics and/or Operations Research to join a highly motivated team at the Clayton campus. These positions are newly created due to the establishment in 2013 of MAXIMA (Monash Academy for Cross and Interdisciplinary Mathematical Applications).
Along with several new appointments, these positions are intended to strengthen the applied mathematics capabilities of the School of Mathematical Sciences, and to foster increased collaboration with industry and interdisciplinary researchers. In particular, expertise in applied statistics and/or operations research is needed due to the many collaborative opportunities with Monash researchers and industry partners.
To be successful in this role, you will have a PhD, an outstanding research record, experience collaborating with industry or interdisciplinary partners, and proven teaching ability.
This role is a full-time; however, flexible working arrangements may be negotiated.
Appointment will be made at a level appropriate to the successful applicant's qualifications and experience.
Your application must address the selection criteria. Please refer to "How to apply for Monash Jobs".
Professor Kate Smith-Miles, Head of School, +61 3 9905 3170
Thursday 31 October 2013, 11:55pm Aus. Eastern Daylight Time
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