Post-Doctoral Fellowship in Stellar Populations / Evolution of Galaxies / Artificial Intelligence
São José dos Campos, Brazil
Job Description
The FICOSS-AI project will develop an open-source pipeline integrating astrophysical models, spectral diagnostics and AI to study stellar populations and galaxy evolution. The fellow will combine machine learning, population-synthesis models and spectral-analysis tools, contribute to publications and mentor students technically. The expected start is 1 February 2027, or earlier if needed. Apply by 2 November 2026 with a CV, publication list and research-interest statement; two recommendation letters must be sent directly by referees as described on the official advertisement.
Requirements
- PhD in astronomy
- physics
- computer science
- data science or a related subject
- AI or machine-learning experience in data analysis
- scientific programming and computational research
- interdisciplinary teamwork
- availability to work on-site at ITA. Spectroscopy
- stellar populations
- Python
- reproducible research and HPC are advantages.
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