Topic: galaxy evolution

Massive stars are among the most influential engines in the Universe, shaping their surroundings through radiation, winds, and supernovae driving turbulence, regulating star and planet formation, and seeding the next generations of stars. Their feedback not only sculpts the interstellar medium of galaxies but also sets key boundary conditions for processes that concern nearly every branch of astrophysics: the baryon cycle (an essential ingredient in galaxy evolution across cosmic time), the progenitor environments of gravitational wave sources, the chemical and dynamical histories of planetary

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.