Postdoctoral Researcher in Supernova Cosmology & Data Inference

Lancaster University; Lancashire; On-site; GBP 40,000 - 46,000; Full time

Job summary

Lancaster University invites applications for a Postdoctoral Research Associate in Supernova Cosmology. The role focuses on building a homogeneous, low-redshift sample of SNeIa from ZTF and combining with high-redshift data to constrain dark energy.

Ideal candidates will have a PhD in relevant fields, strong Python skills, and experience in supernova cosmology or survey science. Start date around 1 January 2027; contract until September 2029.

Qualifications

• PhD (or near completion) in astrophysics, physics, cosmology or a related field.
• Strong scientific programming skills (Python) and experience in cosmology or large-scale surveys.

Responsibilities

• Develop a simulation and cosmological inference framework for the ZTF survey.
• Measure and model environmental biases and selection effects.
• Contribute to a low-redshift anchor for Vera Rubin/LSST and 4MOST-TiDES surveys.

Skills

Python

Supernova cosmology

Statistical analysis

Survey science

Teamwork

Education

PhD in astrophysics/physics/cosmology

Job description

Lancaster University invites applications for a Postdoctoral Research Associate in Supernova Cosmology. The role focuses on building a homogeneous, low-redshift sample of SNeIa from ZTF and combining with high-redshift data to constrain dark energy.

Ideal candidates will have a PhD in relevant fields, strong Python skills, and experience in supernova cosmology or survey science. Start date around 1 January 2027; contract until September 2029.