PhD/PD position in Experimental/Systems Neuroscience – Learning in Neuronal Networks

alternate text Figure 1: In vivo deep brain imaging in a mouse using genetically encoded calcium indicators and a miniaturized microscope.
We are looking for a motivated neuroscience Ph.D. or Post-Doc with a strong interest to understand neuronal network information processing as well as learning-induced changes at the level of single cells and large neuronal ensembles. To investigate neural dynamics, we utilize in vitro electrophysiology and miniaturized in vivo population calcium imaging in rodent animal models during diverse learning behaviors. Ideal candidates have an intrinsic interest in computational and experimental/systems neuroscience questions and are willing to perform experimental work and related data analysis. The candidate will work closely with the principal investigator and experienced senior researchers to perform both in vitro and in vivo experiments in a 3-4 year research project.
The Institute of Neuroinformatics offers advanced, interdisciplinary research training and participation in cutting edge neuroscience and neuroinformatics research projects. The institute is home to a lively and interactive educational atmosphere and highly competitive salaries that will be paid according to the guidelines of the Swiss National Science Foundation.
For PhD candidates: Successful candidates will participate in the ZNZ Doctoral Program ( where they receive additional theoretical and practical training. They will receive their Ph.D. from ETH Zurich.


All applicants should hold a diploma or masters degree in a quantitative discipline (e.g., physics, informatics, mathematics, biomedical-engineering) or neurobiology/neuroscience (e.g., systems neuroscience, neurophysiology, cell physiology). Experience in data analysis using MATLAB/Python/R or similar programming languages and basic knowledge in computational and experimental neuroscience is beneficial. Proficiency in English and a team-oriented working attitude are crucial for the applicant’s success. Suitable candidates should be willing to perform biological in vitro and in vivo experiments in rodents and should have an intrinsic motivation to unravel mechanisms of neural information processing and learning. PD candidates are expected to have a PhD degree complemented by a strong publication record.
What we offer:
• The interdisciplinary and collaborative environment at the intersection of engineering, neuroscience, and machine learning 
• A highly motivated research team and cutting-edge research project 
• The potential for continuing work at the INI 

alternate textFigure 2: Recorded neuronal population and calcium fluorescence signals from individual neurons that reflect the electrical activity of each neuron in response to motor actions.


Applicants are asked to submit their complete application as one PDF via email to The application should include the following documents:

  • 1. A cover letter that lays out the main motivation for working at the INI
  • 2. Contact details of 2-3 references (email and phone number).
  • 3. A CV outlining prior education, research and publications .
  • 4. Academic transcripts (bachelor and master/diploma).
  • 5. A 1-2 page personal research statement. The research statement should cover applicant’s future research goals, research project interest and how the applicant fits into the INI research culture.

Key words: experimental/systems neuroscience, in vivo population calcium imaging, rodent, population coding, neural ensemble learning, two photon imaging, freely moving, microendoscopy, miniaturized microscopes