- to build realistic in silico models that faithfully represent in vitro networks of biological neurons
- to validate these networks using microelectrode array data
- to use the optimized models for suggesting new experiments
- to identify digital biomarkers that can be used to classify disease models
- You are a team-player
- You have a bachelor in physics, mathematics, engineering, or computer science
- You have a PhD in computational neuroscience, physics, data science, or mathematics
- You have the required social and leadership competencies that allow you to prosper at ETH Zurich
- A challenging research project at the forefront of a new discipline that is bottom-up neuroscience
- Healthy work-life balance
- A social work atmosphere where life-long friendships are formed
- Personalized coaching towards an academic career
- Possibility of supervising student projects
- Participation at many scientific conferences
- State-of-the-art experimental and computational infrastructure
- Your motivation letter
- Your CV and list of publications
- The mobile phone numbers of your references
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Postdoc position in experiment-guided computational neuroscience 100%, Zurich, fixed-term - ETH Zürich
Beschreibung
Postdoc position in experiment-guided computational neuroscience
100%, Zurich, fixed-term
print DruckenThe Laboratory of Biosensors and Bioelectronics (LBB) is looking for a postdoc who would lead our computational efforts towards understanding fundamental neuroscience concepts.
Project background
Creating realistic computational models of biological neural networks is among the most difficult challenges of neuroscience. However, such models could be extremely useful both in uderstanding how the brain processes and stores information, and also for reducing the vast parameter space of experimental efforts.
At LBB, we have the technology to build well-defined, in vitro networks of living neurons, and interact with them using microelectrode arrays. This provides us with a large amount of highly reproducible data that can be used to validate computational models.
Job description
Your task at LBB will be
Your profile
Your workplace
Your workplace
We offer
LBB is an interdisciplinary and international team that offers:
We value diversity
In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.Curious? So are we.
We look forward to receiving your online application with the following documents:
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about LBB can be found on our website. Questions regarding the position should be directed to Prof. Janos Vörös, email [] (no applications).