EDCB

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

Students with interest and skills in computation and quantitative subjects will address the emerging questions in biology dealing with the mechanistic comprehension of living processes and the interpretation of big amounts of data.

The combination of coursework, the development and application of computational methods to biological questions, in-house seminars, and national and international conferences, etc. form the basis of this education.

The program’s themes include:

• Applied mathematics
• Biochemistry
• Bioinformatics
• Biophysics
• Computational neurosciences
• Developmental biology
• Digital epidemiology
• Genomics and functional genomics
• Machine learning
• Microbiology
• Neural data science
• Protein design
• Structural biology
• Systems biology

The EPFL provides substantial hardware infrastructure and computational expertise to operate at the forefront of computational and quantitative biology.

Research groups with open positions for the next round of interviews and their projects are listed here. The page is updated as new positions become available.

Talented and ambitious students may contact group leaders in advance, but formal applications must be submitted directly to EDCB before the March or November deadlines, respectively.

Our next Zoom Hiring Days will take place on Thursday afternoon 26th and on Friday afternoon 27th November 2026.

Most candidates selected during these Zoom interviews will be invited to our next In-person Hiring Days, from Wednesday 20th to Friday 22nd January 2027.

Upcoming public defense