PhD combining optical imaging with 3D tracking to map neural coding of body posture

About the position

We are seeking an enthusiastic and highly motivated PhD candidate with a background in neuroscience, biology, biotechnology, quantitative biology, other physical sciences or engineering, to apply to a recently developed, cutting-edge (unpublished) miniature two-photon microscopes to perform pioneering work establishing the cellular basis of posture coding in the neocortex. The successful candidate will perform neural recordings in a laboratory setting while tracking multiple aspects of behavior in rodents. They should have a good intuition for rodent behavior, steady hands, and a strong motivation for analyzing large neural & behavioral datasets.

Required selection criteria

At the time of starting the position, you must have a relevant Master’s degree in neuroscience, biology, medicine, physics, electronic engineering, optics, nanoscience, biomedical engineering, or related fields with a strong motivation to adapt new technology to answer neuroscience questions. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master students can apply, but the master's degree must be obtained and documented before starting the position. You must have a strong academic background from your previous studies and have an average grade from your Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker grade background, you maybe considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme Excellent communication skills in English are imperative, both orally and written. Documented experience with scientific programming (e.g. Python, Matlab, R; any history of activity on GitHub) as well as computational or statistical methods for data analysis.

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