Summary
Kadir Çeven is a PhD candidate in theoretical physics at Georg-August-Universität Göttingen with 11 years of research experience focused on numerical methods for quantum many-body systems. He works within the DFG Research Unit FOR 5522 on nonequilibrium dynamics using approaches such as exact diagonalization, Lanczos algorithms, tensor networks, and neural quantum states. His background includes internships at TUM—where he helped develop a Python library for fermionic neural-network wavefunctions—and at Johannes Gutenberg University Mainz on precision instrumentation. Trained at Bilkent University (BS/MS) and now pursuing a PhD, he blends strong academic rigor (high GPAs) with practical coding and experiment integration skills. Notably, he applies machine-learning techniques to challenging quantum ground-state problems, bridging computational innovation with traditional many-body physics. Based in Göttingen, he collaborates across Germany, Slovenia, and the USA in cross-disciplinary research networks.
11 years of coding experience
Master of Science - MS, Physics, 3.91, Master of Science - MS, Physics, 3.91 at Bilkent University
High School Diploma, High School Diploma at Eskişehir H. Ahmet Kanatlı Anadolu Lisesi
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at The University of Göttingen
Turkish, English