PhD Position on Sleep, Stress and Arousal in Humans — ETH Zürich

CHF 73'500 - 111'500
ETH Zürich · Zurich (ZH)
Categoria: Ricerca Contratto: fixed-term Salario: CHF 73'500 - 111'500
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Location
Zurich
Contract
fixed-term
Posted
30 days ago
SalaryCHF 73'500 - 111'500

Role overview

The project combines mechanistic laboratory experiments with real-world, home-based and decentralized phenotyping, using multimodal physiological recordings, mobile health technologies and computational analysis pipelines.

The Neural Control of Movement Lab focuses on understanding how the brain controls behavior and on developing non-invasive interfaces to measure and modulate brain function during wake and sleep.

Within this environment, the PhD student will contribute to a translational research program that aims to understand how daily stress and arousal states shape sleep physiology, recovery and health-relevant outcomes in real life.

Application process

  • PhD Position on Sleep, Stress and Arousal in Humans 100%, Zurich, fixed-term print Drucken A World-Class Research Environment at the Intersection of Sleep, Physiology and Health Technology The Neural Control of Movement Lab at ETH Zurich, Department of Health Sciences and Technology, invites exceptional candidates to apply for a PhD position focused on the physiological links between sleep, stress, arousal and health in humans.

Additional details

  • Professional software engineers may support parts of the technical backbone, but the PhD student should be able to implement and understand the data flow, work with technical collaborators, implement research-facing pipelines and take scientific ownership of the physiological data and its interpretation. Your work will include:

Notes and original content

  • Professional software engineers may support parts of the technical backbone, but the PhD student should be able to implement and understand the data flow, work with technical collaborators, implement research-facing pipelines and take scientific ownership of the physiological data and its interpretation.
  • Your work will include:
Apply now
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ETH Zürich · Zurich
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