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.

Actually, the Uni of Melbourne currently has two professorships on offer — the other being the Peter Hall Chair in Mathematical Statistics. (Not sure that anyone would actually feel qualified to have a job with that title!)

So any professors of statistics out there looking for a new challenge, please consider coming to Melbourne. We’ll even invite you to visit us from time to time at Monash.


Melbourne Data Science Initiative 2016

In just over three weeks, the inaugural MeDaScIn event will take place. This is an initiative to grow the talent pool of local data scientists and to promote Melbourne as a world city of excellence in Data Science.

The main event takes place on Friday 6th May, with lots of interesting sounding titles and speakers from business and government. I’m the only academic speaker on the program, giving the closing talk on “Automatic FoRecasting”. Earlier in the day I am running a forecasting workshop where I will discuss forecasting issues and answer questions for about 90 minutes. There are still a few places left for the main event, and for the workshops. Book soon if you want to attend.

All the details are here.

rOpenSci unconference in Brisbane, 21-22 April 2016

The first rOpenSci unconference in Australia will be held on Thursday and Friday (April 21-22) in Brisbane, at the Microsoft Innovation Centre.

This event will bring together researchers, developers, data scientists and open data enthusiasts from industry, government and university. The aim is to conceptualise and develop R-based tools that address current challenges in data science, open science and reproducibility.

Past examples of the projects can herehere, and here. Also here.

You can view more details, see who else is attending, and most importantly, apply to attend at the website.