PhD student position in the IoT4Health research group (http://iot4health.utu.fi/) at department of Future technologies, University of Turku, Finland. A position is available for a PhD candidate on data/event mining and applied machine learning in the research group of Adj. prof. Rahmani and Prof. Liljeberg at University of Turku, Finland, in an Academy of Finland-supported research project entitled “PREVENT: Preterm Birth Prevention in Everyday Settings”. The position is intended for full-time research including small contributions to university teaching and other supporting tasks.
The project : Preterm birth (PTB) is the most common cause of neonatal deaths. Due to the high rate of PTBs (15M/y), it is extremely beneficial to identify the women at risk at early stage and prevent PTB. Physiological parameters could help us to uncover and model multifactorial processes that lead to PTB. Continuous monitoring of such parameters holds significant promises to successful prevention. Internet of Things (IoT) technologies can be leveraged to create the ability to perform such monitoring throughout pregnancy. In this project, we tackle PTB issues by proposing an IoT platform tailored for PTB prevention for everyday settings. The core contributions are 1) a customized architecture including a set of wearable electronic devices that are feasible for 7-9 months of continuous monitoring, 2) a personalized PTB prevention solution using data and event mining, and artificial intelligence methods, and 3) a comprehensive performance assessment via implementation of this monitoring in clinical trials.
Qualifications: We are looking for outstanding candidates with a high level of independence as well as good collaboration skills and analytical capabilities. An ideal candidate would have a solid background in data mining and applied machine learning, familiarity with programming (e.g. R/Python/Matlab/C++), and ability to work in multidisciplinary environment. Fluent communication skills in English are essential. The doctoral candidate should hold a MSc degree in a relevant field (e.g., computer science, computer engineering, biomedical engineering, IT, or equivalent).
Salary: The salary is in accordance with the University salary system (for teaching and research personnel) levels 2-4, where the work specific salary component is 1985.85-2475.31€/month. In addition, there is a share increase based on the personal performance, which is, at most, 46.3% of the base salary depending on the previous relevant research experience of the candidate.
Application: Applications must be submitted no later than January 14th, 2018 via the electronic application form of the University of Turku. For further information about the position, please contact Adj. prof. Amir M. Rahmani (email@example.com) or Prof. Pasi Liljeberg (firstname.lastname@example.org). Contact information and the link to the application system can be found from the University of Turku recruitment page http://www.utu.fi/en/university/come-work-with-us/open-vacancies/Pages/home.aspxLäs mer