Jobs in the field of data science

Dza Lausitz; Dresden; Vor Ort; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A leading company in digitalisation is looking for Scientific Staff Members to work on the Universal Bayesian Imaging Kit (UBIK), focusing on CMOS detector technology and radio telescopes. Ideal candidates will hold a PhD or equivalent, with strong programming and mathematical skills, demonstrating expertise in their fields. This is a great opportunity to contribute to cutting-edge imaging technologies.

Qualifikationen

• Completed university degree in physics, mathematics, or computer science.
• Knowledge and experience in information field theory.
• Excellent mathematical skills and good numerical programming skills in Python.

Aufgaben

• Development of fast, accurate, and differentiable digital twins for CMOS technology and radio telescopes.
• Automation and calibration methods for integration into the UBIK framework.

Kenntnisse

knowledge and experience in information field theory

excellent mathematical skills

good numerical programming skills in Python

Ausbildung

completed university degree in physics, mathematics, or computer science

Jobbeschreibung

The following positions will be advertised shortly: You can send us your unsolicited application by email in the meantime. Click here for further information.

IT is a cornerstone of the DZA. It ensures that science, administration and infrastructure are efficiently networked, setting standards in the digitalisation of the institute.

All positions are full-time or part-time. Please send your complete application documents, stating the job title, to [e-mail].

Scientific Staff Member for inclusion of CMOS detector technology into the Universal Bayesian Imaging Kit (UBIK) (PhD)

• development of fast, accurate, and differentiable digital twin for CMOS detector technology
• automation of the detector characterization
• algorithmic development of atmospheric phase fluctuation compensation using high cadence astronomical CMOS data

Key Requirements:

• completed university degree in physics, mathematics, or computer science
• knowledge and experience in information field theory
• excellent mathematical skills and good numerical programming skills in Python

Scientific Staff Member for inclusion of radio telescopes into the Universal Bayesian Imaging Kit (UBIK) (PhD)

• development of fast, accurate, and differentiable digital twins of existing radio telescope arrays for the UBIK framework
• development of fast instrument specific calibration methods
• multi-instrument demonstration of UBIK including radio and non-radio telescopes

Key Requirements:

• Completed university degree in physics, mathematics, or computer science
• knowledge and experience in information field theory
• excellent mathematical skills and good numerical programming skills in Python