The SRP on-line application is now closed for SRP 2023.
Applications for SRP 2024 will open in mid-November 2023.
- 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.
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.
YOU CANNOT SAVE IT and COME BACK.
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 four 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
Gräff Lab – Mechanisms of long-term memory in mice – epigenetics, PTSD and Alzheimer’s disease
Jaksic Lab – Experimental Evolutionary Neurobiology
La Manno – Neurodevelopment Systems Biology
Lashuel Lab – Chemical Biology of Neurodegeneration
Mathis A. Lab – Computational Neuroscience & AI
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
Rahi Lab– Physics of Biological Systems
Ramdya Lab – Neural circuits driving behavior in flies and robots
Sandi Lab – Mechanisms of stress and anxiety in humans and rodents
Altug Lab – Optical nanobiosensors, lab-on-a-chip devices, ultra-sensitive spectroscopy, nanoplasmonics, metamaterials
Correia Lab – Immunoengineering, computational biology, protein design and proteomics.
Barth Lab – Protein design, computational biology, protein biophysics and biochemistry, structural biology, cellular signal transmission, cell engineering, synthetic biology.
Dal Peraro – Computational biophysics and structural biology, multiscale molecular simulations, macromolecular assembly, protein and drug design, high performance computing.
Guiducci Lab – Micro-nano sensors, bioanalytics, lab-on-a-chip, 3D sensors, drug monitoring, aptamers, DNA quantification,
Ijspeert Lab – Articulated and biologically inspired robotics, modular robotics, humanoid robotics, control of locomotion and of coordinated movements in robots, computational neuroscience, neural networks, sensorimotor coordination in animals.
Maerkl Lab – Microfluidics, systems biology, synthetic biology, molecular diagnostics.
Radenovic Lab – Solid-state nanopores, single-molecule imaging, biophysics, nanotechnology, 2D materials.
Renaud Lab – BioMEMS, microfluidics, cell chips, bioelectronics, biosensors.
Sakar Lab – Microelectromechanics, biomechanics, biomedicine
Schoonjans Lab – Metabolic Signalling
Schuhmacher Lab – Chemical and Membrane Biology
Stellacci Lab – Supramolecular materials, nanotechnology, surface science.
Suter Lab – Gene expression fluctuations, cell fate choices, embryonic stem cells, single cell analysis, single molecule imaging
Tang Lab – Biomaterials for immunoengineering
Van De Ville Lab – Computational neuroimaging, network analysis, dynamical systems, wavelets, mathematical imaging, sparsity, machine learning, (f)MRI, EEG, PET, Calcium imaging.
Aztekin Lab – Structural Regeneration
Brisken Lab – Breast cancer, mouse genetic, mammary gland development, mouse models, patient derived xenografts, estrogen and progesterone, endocrine disruptors
Constam Lab – Developmental and Cancer Cell Biology
De Palma Lab – Tumor-associated macrophages, tumor angiogenesis and antiangiogenic therapy Immunotherapy, microRNAs, exosomes and extracellular vesicles, mouse models of cancer, immune cell engineering, lentiviral vector technologies.
Karthaus Lab – Endocrine Therapy Resistance and Molecular Genetics