Student project: Data driven exploration on stress dataset.

Eindhoven - Student
|
More than two weeks ago

Data-driven explorations of physiological and contextual data linked to stress in the work environment.

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Student project: Data driven exploration on stress dataset

What you will do

Over the last 3 years imec.iChange collected an extensive dataset (1002 people) on stress in the work environment. Data types include activity, mood, lifestyle log, stress annotations and physiological data from wearables. Additional to our internal development on algorithms for stress detection, we are looking for creative and  novel ways of interrogating our dataset and uncover new drivers of stress. The student will perform assignments on the analysis of the dataset, propose innovative data-driven research questions and mine our dataset to test hypothesis. This investigation will have as outcome novel algorithms aimed at explaining divers aspects of stress responses in the population of our dataset. This work will  be integrated into the digital phenotyping framework of imec.iChange.

Your Tasks:

  • Study the problem & provide state-of-the-art analysis.
  • Propose a research hypothesis on the dataset, apply and validate a technical solution – algorithmic technique.
  • Compare the proposed solution with other methods.
  • Organize and document dataset.
  • Pre-process the data and apply descriptive statistics to data.
  • Deliver documented code.
  • Write technical documentation and conference paper.
  • Present results to the team (intermediate and final).

What we do for you

By joining the Connected Health Solutions team in Eindhoven, you will be part of a team of disruptive innovators and thinkers. Together, with our Researchers and Engineers, you will work on wireless and wearable healthcare applications that empower people to manage their own health. We invite you to be part of our ambitious team where your ideas will have an impact on our society and our future lives.

Who you are

  • Msc student in Biomedical Engineering or Computer Science.
  • Available for 9 to 12 months.
  • Proficient practical knowledge of python (R is a plus).
  • Familiarity with heterogenous data types, wearables data and machine learning.
  • Familiarity with statistical methods.
  • Analytic and critical thinking.
  • Able to work independently, provide unbiased report and proactively receive feedback.
  • Motivated student eager to expand knowledge in the field.   
  • Good written and verbal English skills.

 

Interested

Click on ‘apply’ to submit your application. You will then be redirected to e-recruiting. If you know someone who could be the right fit for the job click on ’refer’.

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.

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