Thinking of a PhD? This is the Australian story

Advice for prospective PhD candidates focuses on career prospects in R&D, but more thought should be given to personal aspirations in life and work.

Research is fuelled by the energy of post-graduate students. PhD students contribute 57% of total university research output, according to a 2013 discussion paper from The Group of Eight Universities in Australia. In 2011 Nature published “The PhD factory,” which described the ongoing crisis caused by the oversupply of trained researchers and the inability of academia and industry to soak up the overflow.

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Five of the Australia Telescope Compact Array antennas at Narrabri, New South Wales

Fast forward to 2016, and the PhD factories are just as productive, if not even more so. In the 2011 article, Dr Anne Carpenter at Harvard/MIT’s Broad Institute fought the system by hiring permanent staff scientists instead of the usual mix of postdocs and graduate students. She struggled to justify her high staff cost to grant-review panels. Continue reading

Seeking out stronger science: An incomplete, non-systematic list of resources

Our reporter Monya Baker runs through some of the statistical tools she found when writing her latest story.

As I reported in a Nature feature published this week, I found more online courses that were being developed than were actually in place. Resources to help scientists do more robust research are set to expand quickly. For example, the National Institute of General Medical Sciences has a competitive program that awards funds to institutions to enhance graduate student training; of 15 such supplements awarded in 2015, a dozen involved data analysis, statistics, or experimental rigor. You can find more here, and that is only a fraction of what is available. Some courses are still being developed and piloted to select students; others are being offered only to those in a particular department or training grant. If you find one that interests you, it can’t hurt to ask.

data-science-industry

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The elephant in the lab

Young researchers should take the time to educate themselves on STEM career-related  statistics.

Contributor Robert Aboukhalil

Like many PhD students in their fourth year, there are two things constantly on my mind: one is my research, and the other is my post-graduation plan. I am currently a graduate student in the Cold Spring Harbor Laboratory (CSHL) PhD programme, which is designed to be 4-5 years long. The course puts a strong emphasis on developing post-graduation plans early on, so I started researching career options in my 2nd year.

I came across some statistics from the National Science Foundation (NSF) that painted a dire picture of career prospects in academia. Coincidentally, I joined CSHL’s Bioscience Enterprise Club around the same time to learn about alternative careers, and was taken aback by the abundance of career options available for PhDs: research in industry, publishing, science writing, teaching, public policy, finance, consulting, patent law, biotech startups, and more.

An elephant in a room.

An elephant in a room. {credit}Bit Boy/ Flikr — CC-BY-SA-2.0 — https://bit.ly/2gKKEfF{/credit}

Researching career options early on has given me ample time to identify rewarding career paths, and to get involved in extra-curricular activities. Having done the research, I plan on applying the data science skills that I have developed over the course of my PhD to a career in industry.

As I get closer to graduation, I find myself much more prepared for what’s to come and strongly believe that considering career options early on is crucial for any PhD student. Therefore, I would urge all graduate schools to insist that their students do the same, especially in the current academic climate. For those who haven’t been introduced to the stats, I’ve put together a short summary for you.

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