PhDApplications Closed

Nicolas Langer

Zurich, Switzerland
Apply by Mar 31, 2022

Application deadline

Mar 31, 2022

Job

Job location

Nicolas Langer

Geocoding

Zurich, Switzerland

Geocoding in progress.

Source: legacy

Quick Information

Application Deadline

Mar 31, 2022

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job

Job location

Nicolas Langer

Geocoding

Zurich, Switzerland

Geocoding in progress.

Source: legacy

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Job Description

The successful candidate will work on the Synapsis-foundation funded research project “Real-life activity tracking as pre-screening tool for early stages of Alzheimer disease”. The aim of the project is to investigate whether real-life activity measures, derived from wearable technology (e.g. GPS and accelerometer data), are sensitive to identify early stages of Alzheimer’s disease. Further, we aim to provide evidence that these real-life activity measures are associated with current AD biomarkers (i.e. high Amyloid level and brain atrophy).

The student will be expected to disseminate study results in peer reviewed journals, and to supervise Master’s students. The candidate will work in the team of Prof. Nicolas Langer, who is also part of the Neuroscience Center Zurich (ZNZ) (https://www.neuroscience.uzh.ch/en.html), which offers a renowned international PhD programme in Neuroscience. The candidate will work closely with the Institute for Regenerative Medicine (https://www.irem.uzh.ch/en.html), Geographic Information Systems (https://www.geo.uzh.ch/en/units/gis.html), University Research Priority Programme from the University of Zurich “Dynamics of Healthy Aging” (https://www.dynage.uzh.ch/en.html), and the Department of Computer Science at the ETH Zurich (https://www.systems.ethz.ch/).

For further information, please visit: https://tinyurl.com/yvyjkvv9

Requirements

  • MSc degree in a field related to cognitive neuroscience (e.g.
  • cognitive neuroscience
  • (neuro-)psychology
  • computer science
  • biomedical or electrical engineering)
  • Deep knowledge in data science (time-series data processing
  • feature engineering and analysis)
  • Proficiency in programming (in Python
  • Matlab or R) is a must
  • Knowledge in mobile and wearable digital technologies is desirable
  • Experience with amyloid PET imaging and/or structural MRI analyses are a plus
  • Training in machine learning is a plus
  • Excellent verbal and written English skills