Research group at Hamburg Observatory

Emmy Noether Research Group

I am building a new research group at Hamburg Observatory focused on the formation of structures in the early Universe, specifically we aim to understand the emergence of quasars - active growing supermassive black holes. In order to expand the quasar redshift frontier and build statistical samples at Cosmic Dawn, we are using wide-area surveys in concert with large ground-based and space-borne observatories to conduct spectroscopic identification campaigns and multi-wavelength follow-up observations. The quasar selection strategies employ machine-learning methods on large astronomical data sets. Follow-up observations are reduced using state-of-the-art astronomical data reduction software and analysed using modern statistical inference techniques.

In this context group members use and are trained in the following skills to conduct their research:

  • spectroscopic data reduction
  • large-scale data analysis
  • machine-learning methods
  • robust statistical inference techniques
  • software development (Python 3)

Positions

At this point I am offering no PhD or Postdoc position in my group.

Thesis projects

Bachelor thesis projects:

  • The radio-properties of extremely luminous quasars

    Description: The student will analyse LOFAR radio data of a sample of extremely luminous quasars to study their radio properties and compare them to the general quasar population.
    Required skills: Python programming (analysis, visualization)
    Supervisor(s): Dr. Jan-Torge Schindler & Radha Gharapurkar (M.Sc.)

Master thesis projects:

  • Quasar spectroscopy and generative machine learning

    Description: The student will continue to develop a generative machine learning model (Variational Auto Encoder), designed to generate quasar spectroscopy and explore its use in identifying incorrectly classified quasars in large survey data.
    Required skills: Advanced Python programming (analysis, visualization)
    Helpful skills: Machine learning (Variational Auto Encoders)
    Supervisor(s): Dr. Francesco Guarneri & Dr. Jan-Torge Schindler

Group members

Dr. Jan-Torge Schindler (Group leader)
Dr. Francesco Guarneri (Postdoctoral Researcher)
Radha Gharapurkar (Ph.D. student)
Niklas Knop (B.Sc. student)