PhD Position - Investigating learning algorithms in biological and artificial neuronal networks
We are looking for a doctoral student with a strong interest to understand neuronal network information processing (NNIP) as well as learning induced changes in NNIP at the level of large neuronal ensembles. To investigate NNIP we utilize large scale in vivo population calcium imaging in rodent animal models during diverse learning behaviors. Ideal PhD candidates have an interest in computational and experimental neuroscience questions, are willing to perform experimental work and related data analysis and have a natural motivation to develop theoretical concepts/frameworks of NNIP. The candidate will work closely with the principal investigator to perform both experimental and computational approaches in a 3-4 year research project.
The INI offers advanced, interdisciplinary PhD 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. Successful candidates will participate in the ZNZ Doctoral Program (http://www.neuroscience.uzh.ch/en.html) where they receive additional theoretical and practical training. Compensation/salary will be paid according to the guidelines of the Swiss National Science Foundation. Successful candidates will receive their PhD from ETH Zurich.
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 vivo experiments in rodents and should have an intrinsic motivation to unravel neural algorithms of information processing and learning.
Applicants are asked to submit their complete application as one PDF via email. The application should include the following documents:
1. A cover letter that includes the main motivation for doing a PhD at the INI
2. Contact details of 2 references (email and phone number).
3. A CV outlining prior education, research and publications (if applies).
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.
ETH, Institute of Neuroinformatics
Winterthurerstrasse 190, CH-8057 Zurich, Switzerland