Sabanci University (SU) is a young foundation university with state-of-the-art instructional and research facilities located in Istanbul. Research activities at Sabanci University are conducted with an interdisciplinary approach in 3 Faculties, 8 Centers and 2 Forums so that academics and students can develop themselves in the fields of science, technology and art.
SU is recognized as one of the most innovative and research-oriented universities in Turkiye with nearly $56.4 M active research funding size. 44% of the project funds have been generated from European Commission programmes,
SCIENTIFIC PANELS
Chemistry (CHE)Economic Sciences (ECO)Information Science and Engineering (ENG)Environmental and Geosciences (ENV)Life Sciences (LIF)Mathematics (MAT)Physics (PHY)Social Sciences and Humanities (SOC)
The Mathematics Program at Sabanci University is looking for outstanding post-doctoral researchers who are willing to apply for Marie Sklodowska – Curie Actions (MSCA) Postdoctoral Fellowships (PF) 2026 call.
“Midstlab” of Atilgan Group at Sabanci University is looking for outstanding post-doctoral researchers who are willing to apply for Marie Sklodowska – Curie Actions (MSCA) Postdoctoral Fellowships (PF) 2026 call.
The Materials Science and Nano Engineering Program at Sabanci University invites outstanding postdoctoral researchers to apply for the MSCA PF 2026 call.
Manufacturing Research Lab. (MRL) at Sabanci University is looking for outstanding post-doctoral researchers who are willing to apply for Marie Sklodowska – Curie Actions (MSCA) Postdoctoral Fellowships (PF) 2026 call.
The project aims to increase nutrient uptake efficiency, promote root development, enhance tolerance to abiotic stresses such as drought and heat, and reduce the environmental footprint
Functional Thin Films Lab at Sabanci University is looking for outstanding post-doctoral researchers who are willing to apply for Marie Sklodowska – Curie Actions (MSCA) Postdoctoral Fellowships (PF) 2026 call.
MIDST Lab develops computational models of biomolecular dynamics, complex networks and functional materials, integrating statistical physics, machine learning and systems biology to address challenges in biomedicine, biotechnology and materials science.