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Research Assistant (100%) – Multi-modal Emotion Recognition with the objective of obtaining a PhD - SNF MobileCoach
Be part of our team and change health behavior through technology - A background in computer science, business informatics, machine learning, statistics and programming is recommended.
Keywords: Digital Health Interventions, information systems, computer science, data mining, machine learning, statistics and programming, internet of things
The Center for Digital Health Interventions (CDHI, http://www.c4dhi.org ), a joint initiative of the Institute of Technology Management at the University of St. Gallen, and the Department of Management, Technology, and Economics (D-MTEC) at ETH Zurich, strives to specify, develop and evaluate just-in-time adaptive health interventions. Key aspects investigated in this context are how mobile technologies impact health-promoting behavior. D-MTEC seeks to strengthen the ETH CDHI research group in a MobileCoach-based Swiss National Science Foundation project: **>> https://www.mobile-coach.eu <<**
As part of our team, you take direct project responsibility and maintain close relationships with our interdisciplinary research partners. A background in computer science, data mining, machine learning, statistics and programming is required.
Employment conditions, compensation and benefits are attractive and based on guidelines of ETH Zurich. The average duration necessary for successfully obtaining a PhD is 3 1/2 years.
You should meet the following requirements:
- A master’s degree with a technical background (e.g. computer science, business informatics) with a GPA (Grade Point Average) of at least 5.0 (GPA of 2.0 and better in Germany and Austria)
- Profound knowledge in programming mobile applications, machine learning and multivariate statistics is advantageous
- Strong interest in technology-based innovations
- Self-confident appearance and high conceptual and communication skills, especially with regard to presenting research results to a broad and interdisciplinary audience
- Profound knowledge in German and English (written/oral)
- Interest to collaborate with our research partners at the Dartmouth Center for Technology and Behavioral Health (CTBH, www.c4tbh.org)
The Center for Digital Health Interventions (CDHI, http://www.c4dhi.org ), a joint initiative of the Institute of Technology Management at the University of St. Gallen, and the Department of Management, Technology, and Economics (D-MTEC) at ETH Zurich, strives to specify, develop and evaluate just-in-time adaptive health interventions. Key aspects investigated in this context are how mobile technologies impact health-promoting behavior. D-MTEC seeks to strengthen the ETH CDHI research group in a MobileCoach-based Swiss National Science Foundation project: **>> https://www.mobile-coach.eu <<**
As part of our team, you take direct project responsibility and maintain close relationships with our interdisciplinary research partners. A background in computer science, data mining, machine learning, statistics and programming is required.
Employment conditions, compensation and benefits are attractive and based on guidelines of ETH Zurich. The average duration necessary for successfully obtaining a PhD is 3 1/2 years.
You should meet the following requirements: - A master’s degree with a technical background (e.g. computer science, business informatics) with a GPA (Grade Point Average) of at least 5.0 (GPA of 2.0 and better in Germany and Austria) - Profound knowledge in programming mobile applications, machine learning and multivariate statistics is advantageous - Strong interest in technology-based innovations - Self-confident appearance and high conceptual and communication skills, especially with regard to presenting research results to a broad and interdisciplinary audience - Profound knowledge in German and English (written/oral) - Interest to collaborate with our research partners at the Dartmouth Center for Technology and Behavioral Health (CTBH, www.c4tbh.org)
The overall goal of your activities is to develop and evaluate a multi-modal emotion recognition module for the open source behavioral intervention platform MobileCoach ( https://www.mobile-coach.eu ).
The overall goal of your activities is to develop and evaluate a multi-modal emotion recognition module for the open source behavioral intervention platform MobileCoach ( https://www.mobile-coach.eu ).
If you are fascinated by the described task and would like to be part of a highly motivated, young team, we would be pleased to receive your electronic application directly to the scientific director Dr. Tobias Kowatsch - tkowatsch@ethz.ch, CDHI, http://www.c4dhi.org - with the subject line: Research Assistant - Multi-modal Emotion Recognition - SNF MobileCoach.
If you are fascinated by the described task and would like to be part of a highly motivated, young team, we would be pleased to receive your electronic application directly to the scientific director Dr. Tobias Kowatsch - tkowatsch@ethz.ch, CDHI, http://www.c4dhi.org - with the subject line: Research Assistant - Multi-modal Emotion Recognition - SNF MobileCoach.