PhD student position

We are currently looking for a motivated PhD student to join us in the exploration of computational properties of neurons. Our group is embedded in the Department of Biology at Humboldt-University Berlin and the Bernstein Center for Computational Neuroscience Berlin, located on the beautiful Campus Nord in the center of the city.

We are particularly interested in how cell-intrinsic physiological processes affect neuronal computation in single neurons and networks. To this end we use theoretical approaches in combination with the analysis of experimental data (obtained by experimental collaborators in vertebrate and invertebrate systems). Many of our projects take the evolutionary perspective into account, with the aim to improve our understanding of how constraints, such as limited energetic resources or fluctuating environmental variables (like temperature), shaped the design of neuronal systems.

The PhD project will involve biophysical modeling of neurons, intending to derive principles that generalize across multiple brain areas or nervous systems. The PhD student will be given the opportunity to cooperate with experimental groups in the Berlin area. Moreover, suitable candidates may participate in the structured PhD program "Sensory Computation in Neural Systems" (GRK 1589), providing lively interactions with other research groups and students in the fields of computational neuroscience, systems neurobiology, and machine learning.

A strong background in physics, biophysics, computational neuroscience, or computational biology is recommended. Moreover, candidates should have solid experience in programming (python or matlab to solve ODEs/SDEs), analytical skills, and a keen interest in neurophysiological questions.

If interested, please send an email to Susanne Schreiber (email: s.schreiber hu-berlin.de) including a letter of motivation, a CV, and a copy of the current academic transcripts. Applications will be accepted until the position is filled.


Advice to applicants

When writing the letter of motivation please make sure it includes answers to the following questions:

1) What is your educational background and what are you good at?

2) How do you think your education and background would be helpful for the position you are applying for?

3) Among the projects you completed and lectures you have attended, what were your strengths and preferences?

4) What are your abilities with regard to programming, numerical simulations or numerical continuation, and mathematical pen-and-paper calculations?

5) Do you prefer to explore broadly posed questions or do you prefer to focus on a specific, well defined problem?

6) Why would you like to work in computational neurophysiology? Any thoughts about a project that would be ideal for you?