Student project: Evaluating cognition levels in elevated CO2 concentration rooms
What you will do
Indoor air quality has gained quite some interest recently since we spend ~90% of our time indoors. Elevated CO2 concentration is known to cause impaired attention, tiredness, drowsiness and headaches. This can affect employee efficiency, student productivity, and well-being at home, work, hospitals, elderly homes, schools and/or childcare facilities.
Within this project we will evaluate the cognition level of participants in relation to the indoor air quality. To investigate this relationship, you should design and set up a data collection protocol. The protocol should include cognitive testing, air quality monitoring and physiological measurements. The goal of the project will be to link variability of the different (physiological) measurements to the exhibited CO2 concentrations.
This thesis research includes the following steps: literature study to obtain an overview of the state-of-the-art on indoor air quality and related health effects, design of the experimental setup, cleaning of data and signal processing, and data analysis to analyze the relation between air quality and cognitive function. Within the project you will be analyzing (physiological and air quality) data. During the project you will interact with different experts on the topic. Finally, you are expected to give a presentation and write a report. Depending on the results a journal publication should be prepared.
- Literature study;
- Design of experiment;
- Data collection;
- Signal processing;
- Data analysis;
What we do for you
function with different level of CO2 concentration environments is a topic
which is gaining more and more importance. In this project you will work in an
interdisciplinary team of
experienced scientists on a diverse field of topics related to data science, biomedical engineering and biology. The project will give an inside view on the relationship of indoor air quality and related health effects.
Who you are
- Msc student in Biomedical Engineering or Computer Science and Engineering.
- Available for a period of 9 months.
- Basic knowledge of or affinity with physiology and interest in air quality.
- Followed courses on signal processing, data analysis and/or machine learning.
- Basic knowledge of Python and/or R and/or Matlab.
- Entitled to do an internship in the Netherlands.
- Motivated student eager to work independently and expand knowledge in the field.
- Good written and verbal English skills.
Click on ‘apply’ to submit your application. You will then be redirected to e-recruiting.
Please be advised that non-EU/EEA country students that are studying outside of the Netherlands, need to have a work-permit to be able to do an internship in the Netherlands.