University of Amsterdam is inviting applications for PhD scholarship in smart healthcare systems. A Master’s degree in the area of informatics, data science, or business administration with excellent grades and a demonstrable interest in ICT, simulation and modeling, cognitive science and/or business analytics. The PhD position is a fully salaried position, meaning that appointed PhD candidate is an employee (promovendus) of the University of Amsterdam. Successful candidates are appointed on a full-time basis for a total of 4 years. Candidate’s performance is evaluated after 18 months and if positive, the contract is extended for another 2.5 years. The application deadline is 1 July 2015.
Study Subject(s): Scholarship is provided to learn in Smart Healthcare Systems at University of Amsterdam in Netherlands.
Course Level: Scholarship is available for pursuing PhD degree level at University of Amsterdam in Netherlands.
Scholarship Provider: University of Amsterdam, Netherlands
Scholarship can be taken at: Netherlands
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( votes)Eligibility:-A Master’s degree in the area of informatics, data science, or business administration with excellent grades and a demonstrable interest in ICT, simulation and modeling, cognitive science and/or business analytics;
-well-developed analytical skills, creativity, precision, and perseverance;
-the drive to publish in top-level academic journals in the field of energy and management;
-mastery of both written and spoken English
Scholarship Open for International Students: The students of Netherlands can apply for the scholarship.
Scholarship Description: This PhD project will focus on investigating the impact of new disruptive methodologies in healthcare using high performance computing (HPC), internet of things, Big Data and cognitive computing on traditional business models of healthcare providers, industrial suppliers, and healthcare insurance companies. Traditional healthcare data are collected from sources such as hospital, radiology and laboratory information systems, electronic patient records, genetic information and population data. New healthcare implantable, wearable, and ambient sensing technologies combined with artificial intelligence and data mining techniques are projected to provide constant healthcare monitoring, computer-assisted therapy and early warning abilities at lower costs. Mining individual medical records, collected monitored patient data, individual treatment results and genomic records are projected to deliver higher quality, lower cost patient-centric ‘precision healthcare’. Collective insurance reimbursement continue to play a major role in the current healthcare system, but as discretionary health spending continue to rise, new entrants are introducing new individual care delivery models based on those new technologies and disrupting the status quo of the traditional old health economy. So how will new and incumbent players readapt their business models to grow or defend their share of the fast-evolving health market and which new value propositions, based on those new technologies, will be developed for both patients and healthcare providers, that will contribute to improve healthcare quality and decrease the costs.
Number of award(s): Not Known
Duration of award(s): Successful candidates are appointed on a full-time basis for a total of 4 years. Candidate’s performance is evaluated after 18 months and if positive, the contract is extended for another 2.5 years.
What does it cover? The PhD position is a fully salaried position, meaning that appointed PhD candidate is an employee (promovendus) of the University of Amsterdam. Successful candidates are appointed on a full-time basis for a total of 4 years. Candidate’s performance is evaluated after 18 months and if positive, the contract is extended for another 2.5 years.
Selection criteria: Not Known
Notification: Not Known
How to Apply: Applications should be made via applications-feb-at-uva.nl?. Please include job reference number 15-198. Applicants should send a letter of application accompanied by a curriculum vitae, a list of publications, information about relevant teaching and research experience, and two reference letters from academics. The closing date is 1 July 2015.
Scholarship Application Deadline: The application deadline is 1 July 2015.
