PhD Fellowship: Spectral Modelling of AGN Emission

University of Copenhagen; København; On-site; DKK 312,000 - 357,000; Full time

Benefits offered by this job

6 weeks vacation

Full social and health benefits

Generous parental leave

Job summary

The Niels Bohr Institute at the University of Copenhagen invites applications for a PhD fellowship focusing on spectral modelling of nuclear restframe UV-optical emission from Active Galactic Nuclei. The project entails developing software pipelines and applying decomposition techniques to vast sky survey data, with an emphasis on neural networks to assist in analysis.

We seek candidates with strong software development in Python and a background in AGN physics, capable of handling large

Qualifications

• Experience in spectral modelling of UV-optical emission.
• Experience with large astronomical sky surveys (e.g., SDSS).
• Proficiency in Python for scientific software development.

Responsibilities

• Carry out an independent research project under supervision.
• Develop software pipelines for spectral analysis of AGN data.
• Apply spectral decomposition algorithms to large survey databases.
• Develop algorithms that leverage neural networks for large datasets.

Skills

Python

Deep Learning

Neural Networks

Spectral Modelling

High-Performance Computing

Education

Master’s degree in Physics or Astronomy

Tools

Neural Network Frameworks

Job description

The Niels Bohr Institute at the University of Copenhagen invites applications for a PhD fellowship focusing on spectral modelling of nuclear restframe UV-optical emission from Active Galactic Nuclei. The project entails developing software pipelines and applying decomposition techniques to vast sky survey data, with an emphasis on neural networks to assist in analysis.

We seek candidates with strong software development in Python and a background in AGN physics, capable of handling large