9 PhD programmes offered by the university

Mathematics is in constant and vigorous development, driven both by its internal dynamics and by the demands of other disciplines. The spectrum of mathematical research at the Swiss Federal Institute of Technology in Lausanne reflects both this vigor and this diversity.

Here, at the doctoral program of Neuroscience at the Swiss Federal Institute of Technology in Lausanne, we push this frontier to discover the underlying principles of how one of the most fascinating organs of our body, the central nervous system, functions.

The Doctoral Program in Molecular Life Sciences (EDMS) at the Swiss Federal Institute of Technology in Lausanne trains doctoral students to become leaders in biological research.

The doctoral program in Chemistry and Chemical Engineering at the Swiss Federal Institute of Technology in Lausanne provides an educational and research environment in chemical sciences and engineering.

The focus of this Mechanics doctoral program at the Swiss Federal Institute of Technology in Lausanne is the nonlinear mechanics (kinematics, dynamics, energetics) of transformations of solids, geo- and bio- materials as well as fluid flows (geometric non-linearities).

The Doctoral Program in Biotechnology and Bioengineering (EDBB) at the Swiss Federal Institute of Technology in Lausanne provides doctoral students with the education necessary to be leaders in the fast-growing industrial and academic biotechnology and bioengineering sectors.

Physics is a strong focus of research at the Swiss Federal Institute of Technology in Lausanne, and about 200 doctoral students are pursuing their thesis in this discipline.

The Doctoral Program in Photonics (EDPO) at the Swiss Federal Institute of Technology in Lausanne covers the science, technology and applications of photonics research

The Computational and Quantitative Biology program at Swiss Federal Institute of Technology in Lausanne offers students a multidisciplinary education at the intersection of biology with quantitative sciences and computation to become the future generation of quantitative life scientists.