Driving digital innovation in mental health applications

Meer dan twee weken geleden

Can we develop mental health understanding further based on new technologies?

​Over the last 3 years  several datasets on stress and mental health on diverse populations were collected at imec. Data types include activity, logs of feelings, stress annotations and physiological data from wearables (HR, GSR,…). Additionally to our internal development on algorithms for behavior modeling, we are searching novel ways of mining our datasets and uncover new insights from the data.

Depending on the background of the candidate and needs of the project, the work will be focused on experimental design (protocol design and collection of data for small pilot studies) or data science (analysis of the datasets, propose innovative research questions and mine our dataset to test hypothesis).

These investigations will have as an outcome novel insights in the mental health state and behavior of our study populations.

This work is integrated into the digital phenotyping framework of the imec.iChange research program. You will be working in a multi-skilled team including junior researchers and Senior Biomedical Engineers and Data Scientists.



  • Study the problem & provide state-of-the-art analysis of literature
  • 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).
  • Biomedical Engineering, Computer Science, Psychology (specialization Psychology: Research, Psychology: Theory and Research, Psychology: Behavioral Data Science or a similar track)
  • Proficient practical knowledge of one or more of the following languages: Python, Matlab, R.
  • Familiarity with data analytics and statistical methods.
  • Analytic and critical thinking

Type of work Experimental design and  Data science

Type of project: Internship

Duration: 6-12 months

Required degree: Master of Bioengineering, Master of Engineering Science

Required background: Electrotechnics/Electrical Engineering, Biomedical engineering

Supervising scientist(s): For further information or for application, please contact: Walter De Raedt (Walter.DeRaedt@imec.be)

Imec allowance will be provided for students studying at a non-Belgian university.

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