The Context
The Computer Science department of the University of Twente is expanding. Therefore, we are hiring 6 new faculty members, to strengthen our research in Artificial Intelligence, Cyberphysical systems and Software Engineering in the domains of (1) e-Health and (2) energy and sustainability. These new faculty members will be assigned in different research groups, but inter-group collaboration with other researchers working on these themes is considered essential to reach our overall ambitions. This position focuses on research in e-Health within a multidisciplinary setting.

The Position
The current way how healthcare is organized is no longer sustainable. Artificial Intelligence (AI) and Remote Monitoring (RM) are key enabling technologies for a more sustainable and personalized care. E-health calls for system integration: sensor-based collection and interpretation of data about the condition and circumstances of patients, the integration of health data from different organizations in the care chain, and the Machine Learning based analysis of this data with AI for (real-time) clinical decision making (diagnostics and interventions).

Data Management and Biometrics (DMB) is a diverse research group that aims to develop efficient and trustworthy technology for data science and artificial intelligence by developing methods for autonomous, explainable, reliable, and robust gathering, preparation, and analysis of the data. On the theme of e-Health, DMB closely collaborates with other research groups associated with the University of Twente's TechMed centre, such as the Biomedical Signals and Systems group (BSS), the Human Media Interaction group (HMI), and the Pervasive Systems group (PS). The research groups have strong collaborations with regional and (inter)national organizations such as hospitals, rehabilitation centres, elderly homes, insurance companies, companies developing medical devices and/or information systems, and many other kinds of organizations in the Health sector.

For this position, we are looking for a multi-disciplinary researcher and teacher on technology for holistic remote (multi) sensor-based monitoring and/or artificial intelligence for decision making, for whom collaboration is a second nature. Your teaching is intended to be primarily directed towards the bachelor Creative Technology and the master Interaction Technology.

• You have a strong interest and have shown ability to collaborate in an academic, multidisciplinary environment;
• You have a PhD degree in Computer Science, Electrical Engineering, or related discipline;
• You have demonstrated the ability to perform high-quality research in a field relevant to the theme of AI in e-Health such as but not limited to remote monitoring of patients, sensor-based machine learning for human behaviour or physiology modeling, explainable AI, machine learning for medical or behavioural decision making (diagnostics and interventions);
• You have shown a willingness to acquire external funding and are prepared to expand your skills in this aspect;
• You have good communication skills and are a team player;
• You are fluent in English (knowledge of, or willingness to learn Dutch is an advantage);
• You have a University Teaching Qualification (Dutch: BKO) or equivalent or you are willing to acquire one within three years.

• We offer a permanent position with a one-year probationary period (formally a 1-year contract with prospect of permanent contract) in the Data Management and Biometrics research group.
• The position comes with a start-up package that allows you to appoint one PhD student.
• Our terms of employment are in accordance with the Dutch Collective Labor Agreement for Universities (CAO) and include a holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%.
• Depending on your relevant background and experience, the gross monthly salary on a full-time basis ranges from € 3974,- (scale 11) to € 7.362,- (scale 14) gross per month.
• A minimum of 29 leave days in case of full-time employment based on a formal workweek of 38 hours. A fulltime employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.
• A solid pension scheme.
• Free access to sport facilities on campus.
• We are a family-friendly institution, which offers parental leave for both parents (both paid and unpaid) and career support for partners.
• We appreciate diversity of profiles, cultures, and backgrounds, and promote an inclusive working culture.
• Furthermore, we offer excellent professional and personal development programs.
• Finally, you work in a lively, inspiring, and dynamic working environment in an organization focusing on internationalization, where you have a high degree of responsibility and independence.