Explaining the ABS unemployment fluctuations

Although the Guardian claimed yes­ter­day that I had explained “what went wrong” in the July and August unem­ploy­ment fig­ures, I made no attempt to do so as I had no infor­ma­tion about the prob­lems. Instead, I just explained a lit­tle about the pur­pose of sea­sonal adjustment.

How­ever, today I learned a lit­tle more about the ABS unem­ploy­ment data prob­lems, includ­ing what may be the expla­na­tion for the fluc­tu­a­tions. This expla­na­tion was offered by Westpac’s chief econ­o­mist, Bill Evans (see here for a video of him explain­ing the issue). Con­tinue reading →

Connect with local employers

I keep telling stu­dents that there are lots of jobs in data sci­ence (includ­ing sta­tis­tics), and they often tell me they can’t find them adver­tised. As usual, you do have to do some net­work­ing, and one of the best ways of doing it is via a Data Sci­ence Meetup. Many cities now have them includ­ing Mel­bourne, Syd­ney, Lon­don, etc. It is the per­fect oppor­tu­nity to meet with local employ­ers, many of which are hir­ing due to the huge expan­sion in the use of data analy­sis in busi­ness (aka busi­ness analytics).

At the end of each Mel­bourne meetup, some employ­ers have been adver­tis­ing their cur­rent ana­lytic job open­ings to the audience.

Now the local orga­niz­ers are going to extend the oppor­tu­nity to allow job-​​searchers to give a 90 sec­ond pitch to employ­ers. Details are pro­vided on the mes­sage board.

New jobs in business analytics at Monash

We have an excit­ing new ini­tia­tive at Monash Uni­ver­sity with some new posi­tions in busi­ness ana­lyt­ics. This is part of a plan to strengthen our research and teach­ing in the data science/​computational sta­tis­tics area. We are hop­ing to make mul­ti­ple appoint­ments, at junior and senior lev­els. These are five-​​year appoint­ments, but we hope that the posi­tions will con­tinue after that if we can secure suit­able fund­ing. Con­tinue reading →

Job at Center for Open Science

This looks like an inter­est­ing job.

Dear Dr. Hyndman,

I write from the Cen­ter for Open Sci­ence, a non-​​profit orga­ni­za­tion based in Char­lottesville, Vir­ginia in the United States, which is ded­i­cated to improv­ing the align­ment between sci­en­tific val­ues and sci­en­tific prac­tices. We are ded­i­cated to open source and open science.

We are reach­ing out to you to find out if you know any­one who might be inter­ested in our Sta­tis­ti­cal and Method­olog­i­cal Con­sul­tant position.

The posi­tion is a unique oppor­tu­nity to con­sult on repro­ducible best prac­tices in data analy­sis and research design; the con­sul­tant will make shorts vis­its to pro­vide lec­tures and train­ing at uni­ver­si­ties, lab­o­ra­to­ries, con­fer­ences, and through vir­tual medi­ums. An espe­cially unique part of the job involves col­lab­o­rat­ing with the White House’s Office of Sci­ence and Tech­nol­ogy Pol­icy on mat­ters relat­ing to reproducibility.

If you know some­one with sub­stan­tial train­ing and expe­ri­ence in sci­en­tific research, quan­ti­ta­tive meth­ods, repro­ducible research prac­tices, and some pro­gram­ming expe­ri­ence (at least R, ide­ally Python or Julia) might you please pass this along to them?

Any­one may find out more about the job or apply via our website:


The posi­tion is full-​​time and located at our office in beau­ti­ful Char­lottesville, VA.

Thanks in advance for your time and help.

Looking for a new post-​​doc

We are look­ing for a new post-​​doctoral research fel­low to work on the project “Macro­eco­nomic Fore­cast­ing in a Big Data World”.  Details are given at the link below


This is a two year posi­tion, funded by the Aus­tralian Research Coun­cil, and work­ing with me, George Athana­sopou­los, Farshid Vahid and Anas­ta­sios Pana­giotelis. We are look­ing for some­one with a PhD in econo­met­rics, sta­tis­tics or machine learn­ing, who is well-​​trained in com­pu­ta­tion­ally inten­sive meth­ods, and who has a back­ground in at least one of time series analy­sis, macro­eco­nomic mod­el­ling, or Bayesian econometrics.