Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Salary
- from 70.200 € gross/year
- Location
- Vienna
- Working Model
- Onsite
Job Summary
In this job, you will develop modern data analysis and machine learning methods to analyze wearable data to investigate post-exertional malaise and identify individual health changes.
Job Technologies
Your role in the team
- We are looking for a postdoctoral researcher to join the TRACK-PEM project, which investigates post-exertional malaise (PEM) in people with ME/CFS and post-COVID condition.
- PEM is a worsening of symptoms following physical or mental activity.
- Currently, PEM is primarily assessed through interviews and questionnaires, while objective measures that capture how it develops in daily life are still lacking.
- The successful candidate will develop and apply modern data science and machine learning methods to large-scale longitudinal wearable and health data.
- A central aim of the project is to investigate whether patterns in wearable data can be used to identify and classify PEM and related changes in health.
- The work will involve methodological development and analysis of complex time-series data, with a particular focus on individual variability and real-world health data.
- The successful candidate will be embedded in a research group dedicated to understanding healthcare systems as complex adaptive systems and will work closely with researchers across computational health, network medicine, epidemiology, data science, and clinical research.
- They will have opportunities to contribute to related research beyond the immediate TRACK-PEM project and to develop collaborative methodological and scientific work within the wider research group.
This text has been machine translated. Show original
Our expectations of you
Education
- A completed doctoral degree or equivalent qualification in data science, statistics, mathematics, computer science, physics, biomedical engineering, bioinformatics, epidemiology, public health, or a related quantitative field.
Qualifications
- The ability to work independently, contribute methodological and scientific ideas, and collaborate effectively within an interdisciplinary research team.
- Proficiency in English.
Experience
- A strong quantitative background and experience with statistical analysis, machine learning, computational modelling, or time-series analysis.
- Programming experience in Python, R, or a comparable language and an interest in health data, digital health, complex systems, or network medicine.
- Experience with wearable data, physiological signals, clinical research, ME/CFS, or post-COVID condition is advantageous but not required.
This text has been machine translated. Show original
What we offer
- A fully funded 2-year postdoctoral position in an interdisciplinary and international research team.
- The opportunity to work on an important and challenging health research project.
- Access to clinical and large-scale wearable datasets.
- Individualized guidance from an international team of advisors.
- Scientific leadership and professional development workshops.
- Practical experience aligned with career goals in academia, government, or industry.
- Training in the ethical and technical aspects of working with real-world health data.
This text has been machine translated. Show original
Topics You Will Work On
Job Locations
About Your Employer
Complexity Science Hub Vienna
Wien
Complexity science provides a powerful link between the latest mathematics, modelling, data and computer science techniques and our understanding of some of the most important issues facing society today. It can help us understand things like systemic risks, resilience and sustainability in ways we never could before.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication, Science, Research
Postdoc Wearable Data Analysis
- Salary
- from 70.200 € gross/yearEstimated net salary based on the gross salary in the job ad.from 46.536 € net/year
- Location
- Vienna
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
