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 jobs.monash.edu.au/jobDetails.asp?sJobIDs=519824 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.
Posts Tagged ‘research team’:
If you find this blog helpful (or even if you don’t but you’re interested in blogs on research issues and tools), there are a few other blogs about doing research that you might find useful. Here are a few that I read. Patter — Pat Thomson. The Thesis Whisperer — Inger Mewburn. The Research Whisperer – several RMIT researchers. the (research) supervisor’s friend — Geof Hill. My Research Rants – Jordi Cabot. The Three Month Thesis – James Hayton. profserious – Anthony Finkelstein. Academic Life — Marialuisa Aliotta. Help for New Professors — Faye Hicks. The Art of Scientific Writing – Faye Hicks. Explorations of style– Rachael Cayley. sharmanedit — Anna Sharman. GradHacker – writers from several universities. PhD Life – Warwick Uni students. PhD Comics — essential reading for every PhD student, and good therapy. I’ve created a bundle so you can subscribe to all of these in one go. Of course, there are lots of statistics blogs as well, and blogs about other research disciplines. The ones above are those that concentrate on generic research issues.
Journal Clubs are a great way to learn new research ideas and to keep up with the literature. The idea is that a group of people get together every week or so to discuss a paper of joint interest. This can happen within your own research group or department, or virtually online. There is now a virtual journal club operating in conjunction with CrossValidated.com. The first paper discussed was on text data mining. It appears that the next paper may be on collaborative filtering. The emphasis is on Open Access papers, preferably with associated software that is freely available. Some of the discussion tends to centre on how to implement the ideas in R. For those of us in Australia, the timing is tricky. The first discussion took place at 3am local time! If you can’t make the CrossValidated Journal Club chats, why not start your own local club?
Today I gave a workshop for supervisors of postgraduate students. Mostly I talked about creating a team environment for postgraduate students rather than the traditional model (at least in statistics and econometrics) of each student working in isolation. The slides are available here in presentation form or in handout form. Actually, these are an edited version of the slides as I accidentally left out a couple of the phởtographs in the workshop, and I’ve omitted slides that I didn’t end up covering in the workshop. An important part of my research group is this blog. So if you haven’t been here before, please take a look around. For those people who attended, feel free to add comments below if you would like to provide feedback on the workshop.
Muhammad Akram was my PhD student a few years ago, and has remained a good friend since he moved on. Here is an interview he recently gave about moving to Australia. Thanks, Akram, for the kind words about me!