PhD / PostDoc Position - Investigating learning algorithms in biological and artificial neuronal networks
We are looking for a doctoral student (or PostDoc) 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 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 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. Compensation/salary will be paid according to the guidelines of the Swiss National Science Foundation.
For PhD candidates only:
Successful candidates will participate in the ZNZ Doctoral Program (http://www.neuroscience.uzh.ch/en.html) where they receive additional theoretical and practical training. 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.
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
• Support for research conferences
Applicants are asked to submit their complete application as one PDF via email to email@example.com. 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