Pioneering Gravitational Wave Discovery Fellow

Monash

Melbourne

Vor Ort

AUD 86.000 - 117.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Amplify your impact at a world top 50
Inclusive, collaborative community
Flexible and hybrid working policies

Zusammenfassung

Monash University invites applications for two Research Fellows to join the OzGrav Centre of Excellence for Gravitational Wave Discovery at the Clayton campus. You will conduct research in gravitational-wave data analysis, astrophysics of GW sources, and tests of general relativity, working within a team of leading scientists.

A PhD in a relevant field is required, with experience in GW astronomy, Bayesian methods, and time-series analysis.

Qualifikationen

  • PhD in astrophysics, physics, computer science, statistics, mathematics, or a closely related field.
  • Experience in gravitational-wave astronomy, Bayesian methods, time-series analysis, general relativity, and/or high-energy astrophysics.
  • Analytical and manuscript preparation skills with refereed research track record.

Aufgaben

  • Carry out research in gravitational-wave data analysis and related astrophysics.
  • Contribute to OzGrav Centre of Excellence projects at Monash University.

Kenntnisse

Gravitational-wave astronomy
Bayesian methods
Time-series analysis
General relativity
High-energy astrophysics

Ausbildung

PhD in astrophysics, physics, computer science, statistics, mathematics, or closely related field

Jobbeschreibung

Monash University invites applications for two Research Fellows to join the OzGrav Centre of Excellence for Gravitational Wave Discovery at the Clayton campus. You will conduct research in gravitational-wave data analysis, astrophysics of GW sources, and tests of general relativity, working within a team of leading scientists.

A PhD in a relevant field is required, with experience in GW astronomy, Bayesian methods, and time-series analysis.

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