PhD on Mining Social Media for Cardio Care
PhD on Mining Social Media for Cardio Care
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Start date (negotiable): September 2020
Job description
We seek an excellent and motivated candidate for a PhD position in social media in relation to big data applications for cardiac care.
The PhD will be executed in the context of both the Eindhoven Engine https://eindhovenengine.nl/) , at the TU/e campus where cross disciplinary and cross sector (academia/industry) research is fostered, and the STRAP project, a collaboration between three leading Dutch universities and several partners from the public and private sector interested in healthcare, funded by the Dutch NWO program 'Commit2Data'.
Within the STRAP project, this specific PhD shall examine the role social media can play to support the target patient group and how data from social media can be mined to support the prognosis methods developed by the project. We expect this PhD will be operating in the intersection of the disciplines Artifical Intelligence, Data Science and Human Computer Interaction.
The project has a strong focus on empirical work, both in exploring potential solutions, as well as in validating them.
This PhD will work with a team of six PhD researchers in three Dutch universities (TU Eindhoven, TU Delft, and Erasmus MC) will work on developing and evaluating interactive applications to support prevention of secondary heart failure and to increase the efficiency in early diagnosis of heart disease. Accepted candidates will have a unique opportunity to position themselves in the forefront of future healthcare.
More specifically the NWO-funded STRAP project shall develop a data collection platform integrating state of the art self-tracking technologies to enable patients:
We shall develop and evaluate novel diagnostic and prognosis methods in two trials, each addressing groups where improvements are readily obtainable and highly relevant:
The PhD will be executed in the context of both the Eindhoven Engine https://eindhovenengine.nl/) , at the TU/e campus where cross disciplinary and cross sector (academia/industry) research is fostered, and the STRAP project, a collaboration between three leading Dutch universities and several partners from the public and private sector interested in healthcare, funded by the Dutch NWO program 'Commit2Data'.
Within the STRAP project, this specific PhD shall examine the role social media can play to support the target patient group and how data from social media can be mined to support the prognosis methods developed by the project. We expect this PhD will be operating in the intersection of the disciplines Artifical Intelligence, Data Science and Human Computer Interaction.
The project has a strong focus on empirical work, both in exploring potential solutions, as well as in validating them.
This PhD will work with a team of six PhD researchers in three Dutch universities (TU Eindhoven, TU Delft, and Erasmus MC) will work on developing and evaluating interactive applications to support prevention of secondary heart failure and to increase the efficiency in early diagnosis of heart disease. Accepted candidates will have a unique opportunity to position themselves in the forefront of future healthcare.
More specifically the NWO-funded STRAP project shall develop a data collection platform integrating state of the art self-tracking technologies to enable patients:
- To make measurements at home which would otherwise require visiting the clinic;
- To collect longitudinal data pertaining to daily life activity, emotions, and other relevant aspects;
- To ensure higher adherence in self-tracking through the application of behaviour change techniques and gamification.
We shall develop and evaluate novel diagnostic and prognosis methods in two trials, each addressing groups where improvements are readily obtainable and highly relevant:
- For elderly heart patients, we strive to reduce re-hospitalization rates, currently leading to serious health deterioration and substantial costs;
- For all comers at cardiac outpatient clinics, we strive to lower costs and improve the quality of diagnosing heart disease.
Specifications
- max. 38 hours per week
- Eindhoven View on Google Maps
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Eindhoven University of Technology (TU/e)
Requirements
Candidates should hold a masters' degree in an area relating to human‑computer interaction or artificial intelligence. Candidates should be familiar or willing to learn contemporary languages for AI, app and back-end development. We seek candidates with a genuine interest and ability to conduct user-focused research to understand people's needs and their social context, carry out co-design activities, and carry out empirical evaluation work.
All candidates should be proficient in written and spoken English. Fluency and good command of the Dutch language will be very much valued in conducting research and design activities locally in which elderly cardiac patients can participate. Further, they are expected to be proactive in collaborating with other PhD students, colleagues and supervisors from a wide spectrum of backgrounds.
Excellence of creativity, autonomy, and dedication are expected personal qualities. A genuine interest in research, familiarity with design thinking, experience with writing and publishing scientific research and experience in collaborative research projects will weigh positively.
The candidates should have (and will develop further in this project) strong professional and communication skills in order to work together with remote partners in a multi-national and multi-disciplinary research team.
All candidates should be proficient in written and spoken English. Fluency and good command of the Dutch language will be very much valued in conducting research and design activities locally in which elderly cardiac patients can participate. Further, they are expected to be proactive in collaborating with other PhD students, colleagues and supervisors from a wide spectrum of backgrounds.
Excellence of creativity, autonomy, and dedication are expected personal qualities. A genuine interest in research, familiarity with design thinking, experience with writing and publishing scientific research and experience in collaborative research projects will weigh positively.
The candidates should have (and will develop further in this project) strong professional and communication skills in order to work together with remote partners in a multi-national and multi-disciplinary research team.
Conditions of employment
- a full-time temporary appointment for a period of 4 years, with an intermediate evaluation after 9 months;
- a gross salary of € 2.325 euro per month in the first year and increasing up to € 2.390 euro gross per month in the fourth year (PhD-salary scale Collective labor Agreement Dutch Universities) on a full-time basis, plus 8% holiday allowance and 8,3% end of the year allowance.
- excellent employment conditions (including excellent sport facilities and child care).
