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Properties of evolved, hot luminous stars from large spectroscopic surveys

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

Massive stars are rare, though dominate the radiative, mechanical and chemical feedback in star-forming galaxies. Historically, spectroscopic studies of hot massive stars in the Milky Way and nearby galaxies have been restricted to small sample sizes. The advent of wide field, highly multiplexing spectroscopic instruments (WHT/WEAVE, VISTA/4MOST) permit thousands of massive stars to be studied, whilst GAIA is now providing reliable parallaxes for stars at distances of several kpc. This project will combine spectroscopic results from the WEAVE SCIP Survey (due to Commence in 2020) with Bayesian-derived GAIA distances To investigate the properties of a large sample of post-main sequence hot, luminous stars (blue supergiants, Wolf-Rayet stars) for the very first time, confronting predictions from evolutionary models for massive stars, leading to their refinement.

Science Graduate School:
As a PhD student in one of the science departments at the University of Sheffield, you’ll be part of the Science Graduate School – a community of postgraduate researchers working across biology, chemistry, physics, mathematics and psychology. You’ll get access to training opportunities designed to support your career development by helping you gain professional skills that are essential in all areas of science. You’ll be able to learn how to recognise good research and research behaviour, improve your communication abilities and experience technologies that are used in academia, industry and many related careers. Visit to learn more.

Funding Notes

If you submit your application after the 31 March 2019, you will be considered for any remaining funding, but please note all of our funding may be allocated in the first round.

Related Subjects

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