How to Apply

The SRP on-line application is now open for SRP 2024!

Students must

  • be currently enrolled in a university in biology, bio-physics, chemistry, bio-engineering, bio-informatics, quantitative biology, genetics courses or other life sciences related programs
  • have a minimum of GPA equivalent to a 3.75/4.0 grade or higher
  • have completed at least two years of undergraduate work up to the first year of a master’s degree before the start of the program
  • show a strong interest in pursuing a career in life sciences
  • must apply using the on-line application. No other formats are acceptable.

The selection is based upon

  • Your CV (1-2 pages)
  • Your motivation letter (maximum 750 words)
  • The explanation of 3 lab choices (2-3 sentences per lab)
  • University transcript or school official list of classes and grades
  • Two letters of recommendation
  • Basic life sciences understanding is essential; previous lab experience is a plus

Only applications with the full application material will be taken into consideration.

On-line application

ATTENTION: Prepare all your documents (CV, Motivation Letter, Lab Explanations, Transcripts) and contact details for your 2 referees (name, institution, and email address) in advance. Once you begin your application, you must finish it in one sitting.


The online application usually opens each year in mid-November for the following summer.

The annual application deadline is 31st of January.

All applicants will receive an email about six weeks after the deadline with the result of their application.

Blanke Lab – Mechanisms of body perception, body awareness and self-consciousness in humans

Courtine Lab – Motor control and neuroprosthetics in rodents, monkeys and humans

Gerstner Lab – Computations in neuronal networks, plasticity and learning

Herzog Lab – Psychophysics

Jaksic Lab – Experimental Evolutionary Neurobiology

La Manno – Neurodevelopment Systems Biology

Mathis A. Lab – Computational Neuroscience & AI

Mathis M. Lab – Merging Machine Learning & Neuroscience

McCabe Lab – Motor circuits and diseases in flies, mice and humans

Petersen Lab – Neuronal circuits for reward-based learning of goal-directed behaviour in mice

Priestley Lab – Neurobiology of Memory

Rahi Lab– Physics of Biological Systems

Ramdya Lab – Neural circuits driving behavior in flies and robots

Schrimpf Lab – Building models of vision & language, integrating multimodal representations, clinical translation.

Zenk Lab – Epigenomics of Neurodevelopment

Ablasser Lab – Innate Immunity

Antanasijevic Lab – Virology and Structural Immunology

Goemans Lab – Systems and Molecular Microbiology

Persat Lab – Bacterial mechanobiology and mechanotransduction

Van der Goot Lab – Cell & Membrane Biology

Altug Lab – Bionanophotonic Systems

Correia Lab – Protein design and Immunoengineering

Barth Lab – Protein and Cell Engineering

Bastings Lab – Programmable Biomaterials

Dal Peraro – Biomolecular Modeling

Ijspeert Lab – Biorobotics

Manley Lab – Experimental Biophysics

Maerkl Lab – Biological Network Characterization

Oates Lab – Segmentation Timing & Dynamics Laboratory

Radenovic Lab – Nanoscale Biology

Rahi Lab– Physics of Biological Systems

Sakar Lab – Microbiorobotic systems

Tang Lab – Biomaterials for immunoengineering

Van De Ville Lab – Medical Imaging Processing


Brisken Lab – Hormones: Keys to breast cancer prevention and therapy

De Palma Lab – Angiogenesis & Tumor Microenvironment

Gönczy Lab – Mechanisms of centriole assembly

Karthaus Lab – Endocrine Therapy Resistance and Molecular Genetics

Thomä Lab – Structural Biology & Cryo-electron Microscopy

Waszak Lab – Computational Neuro-oncology