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Nature Astronomy
Article . 2025 . Peer-reviewed
License: Springer Nature TDM
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2025
License: CC BY
Data sources: Datacite
Nature Astronomy
Article . 2025 . Peer-reviewed
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How to prepare competitive proposals and job applications

Authors: Johan H. Knapen; Henri M. J. Boffin; Nushkia Chamba; Natashya Chamba;

How to prepare competitive proposals and job applications

Abstract

Writing proposals and job applications is arguably one of the most important tasks in the career of a scientist. The proposed ideas must be scientifically compelling, but how a proposal is planned, written, and presented can make an enormous difference. This Perspective is the third in a series aimed at training the writing skills of professional astronomers. In the first two papers we concentrated on the writing of papers, here we concentrate on how proposals and job applications can be optimally written and presented. We discuss how to select where to propose or apply, how to optimise your writing, and add notes on the potential use of artificial intelligence tools. This guide is aimed primarily at more junior researchers, but we hope that our observations and suggestions may also be helpful for more experienced applicants, as well as for reviewers and funding agencies.

This preprint is a preliminary version of a paper published in Nature Astronomy, 9, 951 (2025). We suggest to read the paper there, or download the published version from https://rdcu.be/evDCt

Keywords

Physics Education, Physics Education (physics.ed-ph), Instrumentation and Methods for Astrophysics, FOS: Physical sciences, Instrumentation and Methods for Astrophysics (astro-ph.IM)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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