Lecturer or Senior Lecturer in Data Science Monash University, Faculty of Information Technology
Job No. 549146
If you're after a rewarding career, Monash University can help make it happen. With leading academics and world-class resources, combined with a ranking in the top 100 universities worldwide, we offer all you need to build a brighter future. The OpportunityThe Faculty of Information Technology is seeking a Lecturer/Senior Lecturer to join a highly motivated team of teaching and research staff. You will have a PhD or equivalent accreditation of standing in a relevant discipline of machine learning, data science or data analysis. We have particular interest in recruiting people who can conduct high quality research with expertise in either data wrangling (including feature selection, dimensionality reduction, data enrichment, data fusion and entity resolution); or in time series, graph, cluster or geo-temporal analysis, although applications from leading experts in other areas of machine learning, data science and data analysis will also be considered. You will be required to publish papers in high quality conferences and journals and contribute to the preparation of research proposals to external bodies. In terms of education, you will be required to prepare and deliver high quality lectures, tutorials, practical classes, demonstrations, workshops and studio sessions for both undergraduate and graduate courses. You will perform high quality subject coordination, marking and assessment, and consultation with students and supervise major honours or postgraduate research projects or theses. It is essential for your application to include a letter answering your suitability according to the key selection criteria, and a CV that provides a list of your five career-best publications where each is accompanied by a brief statement explaining its quality, impact and significance. For indicators of output quality, please refer to the CORE conference and journal rankingshttp://www.core.edu.au/conference-portal. For citations please refer to Google Scholar, Scopus, or Thomson Reuters. In addition to your five career-best publications, please provide a link to your Google Scholar profile. This role is a full-time position; however, flexible working arrangements may be negotiated. Your application must address the selection criteria. Please refer to "How to apply for Monash Jobs" EnquiriesProfessor Maria Garcia De La Banda, Deputy Dean, +61 3 9905 5777 ApplicationsTo view a detailed Position Description and to submit an application please visit Enter ‘549146’ in the keywords search and click enter. Closing DateThursday 14 July 2016, 11:55pm AEST
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