|Position ID:||ETH-INI-PHD [#7941]|
|Position Title:||PhD position in Computational / Systems Neuroscience|
|Position Location:||Zurich, Zurich 8057, Switzerland [map]|
|Subject Areas:||Neurobiology / neurophysiology|
Neuroscience / Systems neuroscience
|Appl Deadline:||(posted 2016/09/13, listed until 2017/03/13)|
|PhD position in Computational/Systems Neuroscience
– in vivo imaging of neural ensemble learning in awake behaving animals –
We are looking for a PhD candidate with a strong motivation to understand neuronal information processing (NIP) as well as learning induced changes in NIP at the level of large neuronal ensembles. To investigate NIP we utilize cutting edge large scale in vivo population calcium imaging techniques that allow recording ensemble activity of hundreds of neurons in freely moving and head-fixed rodents during diverse learning behaviors. Ideal candidates have some expertise in a neuroscience related field. The PhD candidate will acquire a unique skill set to utilize miniaturized and very large-scale calcium imaging technologies and work closely with the PI to perform behavior experiments and post-hoc data analysis.
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 or experimental neuroscience is beneficial. Proficiency in English and a team-oriented working attitude are crucial for the applicant’s success. Candidates should be willing to perform biological in vivo experiments in rodents with an intrinsic motivation to unravel neural algorithms of information processing and learning.
Please submit your complete application via this website or as one PDF via email to email@example.com
• A cover letter that includes the main motivation for doing a PhD at the INI.
• Contact details of 2 references (email and phone number).
• CV outlining prior education, research and publications (if available) • Academic transcripts (bachelor, master/diploma).
• 1-2 page personal research statement. The research statement should cover the applicant’s future career goals and research project interests.
Key words: computational/systems neuroscience, in vivo calcium imaging, rodent, population coding, neural ensemble learning, two photon, freely moving, microendoscopy