Subject ▸ Jobs

Come and work with me

I have funding for a new post-doctoral research fellow, on a 2-year contract, to work with me and Professor Kate Smith-Miles on analysing large collections of time series data. We are particularly seeking someone with a PhD in computational statistics or statistical machine learning. Desirable characteristics: Experience with time series data. Experience with R package development. Familiarity with reproducible research practices (e.g., git, rmarkdown, etc). A background in machine learning or computational statistics.

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Looking for a new research assistant

I’m currently looking for a new research assistant to help (primarily) with some modelling and R coding as part of a project on forecasting mobile phone sales. The position is likely to last for about 6–9 months, and will be casual. Requirements Based in Melbourne. I’d rather not communicate remotely. Able to work at least 20 hours per week. Some of that can be from home if necessary, but you do need to be at Monash University (Clayton campus) at least some of the time.

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Academic vacancies at Monash

We are hiring again, at all academic levels. While all fields of specialisation within econometrics and statistics are open, expertise in any of Business Analytics, Data Science, Applied Econometrics and Actuarial Science is particularly encouraged. All positions are full-time and continuing (i.e., tenured after a probation period). Applications close at 11:55pm AEST, Friday 30 June 2017. Please direct initial questions to Liam Mahon. Lecturer Suitable for someone just completing a PhD or a post-doc.

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Come to Melbourne, even if not to Monash

The University of Melbourne is advertising for a “Professor in Statistics (Data Science)”. Melbourne (the city) is fast becoming a vibrant centre for data science and applied statistics, with more than 4700 people signed up for the Data Science Meetup Group, a thriving start-up scene, the group at Monash Business School (including Di Cook and me), and the Monash Centre for Data Science (including Geoff Webb and Wray Buntine). Not to mention that Melbourne is a wonderful place to live, having won the “World’s most liveable city” award from the Economist for the last 6 years in a row.

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Statistics positions available at Monash University

We are hiring again, and looking for people in statistics, econometrics and related fields (such as actuarial science, machine learning, and business analytics). We have a strong business analytics group (with particular expertise in data visualization, machine learning, statistical computing, R, and forecasting), and it would be great to see it grow. The official advert follows. The Department of Econometrics and Business Statistics at Monash Business School in Melbourne, Australia, invites applications for full-time tenure-track positions at the Senior Lecturer level (equivalent to North American/European Assistant Professor with some post-doctoral academic experience) and Associate Professor level.

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SSA helping you find a job

One of the great services of the Statistical Society of Australia is an excellent jobs board advertising available jobs for statisticians, data analysts, data scientists, etc. Jobs can be filtered by industry, location and job function. Today the SSA announced a new service to job seekers: CV/Resume Critique. As a job seeker, registered on the SSA Job Board, you now have the option to request a free, confidential CV/resume evaluation from an expert and writer.

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Starting a career in data science

I received this email from one of my undergraduate students: I’m writing to you asking for advice on how to start a career in Data Science. Other professions seem a bit more straight forward, in that accountants for example simply look for Internships and ways into companies from there. From my understanding, the nature of careers in data science seem to be on a project-to-project basis. I’m not sure how to get my foot stuck in the door.

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The hidden benefits of open-source software

I’ve been having discussions with colleagues and university administration about the best way for universities to manage home-grown software. The traditional business model for software is that we build software and sell it to everyone willing to pay. Very often, that leads to a software company spin-off that has little or nothing to do with the university that nurtured the development. Think MATLAB, S-Plus, Minitab, SAS and SPSS, all of which grew out of universities or research institutions.

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ODI looking for young postgrad statisticians

The Overseas Development Institute Fellowship Scheme sends young postgraduate statisticians (and economists) to work in the public sectors of developing countries in Africa, the Caribbean and the Pacific on two-year contracts. This is a great way to develop skills and gain experience working within a developing country’s government. And you get to live in a fascinating place! The application process for the 2016-2018 Fellowship Scheme is now open. Students are advised to apply before 17 December 2015 for a chance to be part of the ODI Fellowship Scheme.

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ABS seasonal adjustment update

Since my last post on the seasonal adjustment problems at the Australian Bureau of Statistics, I’ve been working closely with people within the ABS to help them resolve the problems in time for tomorrow’s release of the October unemployment figures. Now that the ABS has put out a statement about the problem, I thought it would be useful to explain the underlying methodology for those who are interested.The Labour Force Survey The unemployment rate is derived from the monthly Labour Force Survey.

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