Ten simple rules for giving an effective academic job talk

You’ve finally completed your dissertation research and have your PhD in hand—yay! Maybe you’re also in the middle of a postdoctoral position. If you’re reading this article, chances are you are actively searching for and applying for faculty positions. (Check out reference [1] if you’re early in the application process and [2] for additional advice!) Unfortunately, many graduate students and postdocs are not taught the skills necessary for acquiring a faculty position after passing the “looks good on paper” part of the application and securing an on-campus interview. One of the last crucial steps in earning a faculty position is your academic job talk. No matter how great of a scientist you are, if you cannot give a compelling job talk, chances are low that you will be hired. Yet many candidates receive little guidance on how to ace this unique and vital test. To help address this gap, we have put together these ten simple rules that will help you give an effective job talk. To be clear, these are rules developed for the academic job talk in a research-heavy department, which is typically in a seminar format. These rules are not targeted toward other formats such as chalk talks or teaching demonstrations, although some pointers may still apply. We are a group primarily composed of University of California, Los Angeles (UCLA) faculty, postdocs, and graduate students who participated in two recent job searches in the Ecology and Evolutionary Biology Department. We evaluated ten job talks over the span of 2 months and discussed their strengths and weaknesses in a weekly seminar course. These ten rules are based on our discussions of what worked (and what didn’t) across the variety of job talks we observed, as well as our various experiences on the job market and search committees over the years.

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PID https://www.doi.org/10.1371/journal.pcbi.1007163
PID pmc:PMC6657819
PID pmid:31344032
URL https://doaj.org/toc/1553-734X
URL http://dx.plos.org/10.1371/journal.pcbi.1007163
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URL https://dx.plos.org/10.1371/journal.pcbi.1007163
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URL http://dx.doi.org/10.1371/journal.pcbi.1007163
URL https://journals.plos.org/ploscompbiol/article?id=10.1371%2Fjournal.pcbi.1007163
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URL http://europepmc.org/articles/PMC6657819
URL https://ui.adsabs.harvard.edu/abs/2019PLSCB..15E7163S/abstract
URL https://dblp.uni-trier.de/db/journals/ploscb/ploscb15.html#SuraSAABGJKMMML19
URL https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657819/
URL https://doi.org/10.1371/journal.pcbi.1007163
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Author Sura, Shayna A., 0000-0002-2143-8218
Author Smith, Lauren L., 0000-0001-9807-4531
Author Ambrose, Monique R., 0000-0002-2886-7912
Author Amorim, C. Eduardo Guerra, 0000-0002-8827-238X
Author Beichman, Annabel C., 0000-0002-6991-587X
Author Gomez, Ana C. R.
Author Juhn, Mark
Author Kandlikar, Gaurav S., 0000-0003-3043-6780
Author Miller, Julie S., 0000-0002-2301-1955
Author Mooney, Jazlyn, 0000-0002-2369-0855
Author Mummah, Riley O., 0000-0002-4542-3483
Author Lohmueller, Kirk E., 0000-0002-3874-369X
Author Lloyd-Smith, James O., 0000-0001-7941-502X
Contributor Lewitter, Fran
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Collected From PubMed Central; ORCID; UnpayWall; Datacite; DOAJ-Articles; Crossref; Microsoft Academic Graph
Hosted By Europe PubMed Central; PLoS Computational Biology
Journal PLOS Computational Biology, 15, null
Publication Date 2019-07-01
Publisher Public Library of Science (PLoS)
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keyword keywords.Ecology, Evolution, Behavior and Systematics
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::ad1675455b5f16d96d7dec785ee1b516
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Last Updated 22 December 2020, 18:23 (CET)
Created 22 December 2020, 18:23 (CET)