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Astronomy Research Scientist

Cape Town Space & Astronomy Institute
Cape Town
Salary Estimate
ZAR 420.000 – ZAR 720.000
Posting Time
6 Mei 2026
Deadline
6 Mei 2027

Job description

Join a premier astronomy research group in Cape Town focusing on observational and computational astrophysics. This full-time position offers access to cutting edge facilities, collaboration with international teams, and opportunities for professional growth.

We are seeking someone with a strong passion for the cosmos and a track record of research excellence. You will work on data from ground based telescopes and simulations, contribute to publications, and participate in outreach.

What we offer includes a competitive salary, flexible working arrangements, support for travel to conferences, and a vibrant, inclusive work culture.

Responsibility

  • Lead analysis of observational data from ground based telescopes and survey data
  • Develop pipelines for data calibration, reduction, and visualization
  • Collaborate with international teams on research projects and publications
  • Design and run simulations to compare with observational results
  • Contribute to instrument development and performance optimization
  • Mentor students and interns; present findings at conferences
  • Write and defend research proposals and contribute to grant applications

Qualification

  • PhD in Astronomy, Astrophysics, or a closely related field; or MSc with substantial research experience
  • Strong programming skills (Python preferred; experience with Astropy and data analysis)
  • Experience with data reduction pipelines, astrometry, photometry
  • Familiarity with statistical methods and machine learning techniques
  • Experience with telescope time management and data management
  • Excellent written and spoken English; ability to communicate with international teams
  • Publications in peer reviewed journals and ability to present at conferences
  • Ability to work independently and collaboratively in a diverse team

Required Skills

Python R SQL Linux data analysis astronomical data processing machine learning telescope operations

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