PhD student in Computer Science for Data Analytics
Mälardalens Högskola / Administratörsjobb (offentlig verksamhet) / Västerås
2017-06-15
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hela Sverige Research will be conducted within project SimuSafe - Simulator of behavioral aspects for safer transport. The goal of the project is, by a combination of artificial intelligence, intelligent sensing, and virtual reality, to retrieve accurate agent and behavioral models in a transit environment, and to reproduce these in a traffic simulator. The purpose is to determine cause and consequence in incidents of interest, and to understand the underlying behaviors and motivations of the involved agents. MDH will lead a work package with the aim of providing data analytics and metric computation functionality for different agent models, such as car, pedestrian, and bicycle. This includes neurometric indexes of risky attitudes and behaviors based on physiological parameters (HR/HRV, EMG, EEG; EOG, ECG and GSR) coupled with contextual information (e.g., sleep duration/quality, activity intensity, weather, noise) in order to assess risk perception, awareness, attention and decision-making.
The position focus is on advanced biomedical signal processing and sensor signal abstraction, e.g., electrocardiography (ECG) and electroencephalography (EEG), as well as data modeling and simulation environment integration. The work requires theoretical studies on the state of art, together with software development and testing. As a PhD student, you are expected to develop independent ideas and to communicate research results in oral and written form. The employment includes collaboration and co-production both nationally and internationally.
Only those who are or have been admitted to third-cycle courses and study programmes at a higher education may be appointed to doctoral studentships. For futher information see Chapter 5 of the Higher Education Ordinance (SFS 1993:100).
The applicant should have a master degree, or equivalent, in Computer Science. Proficiency in English, both written and oral, is required.
Knowledge/experience in artificial intelligence, machine learning, and signal processing is required. Experience of multi-sensor fusion and big data analytics is of high merit.
Extensive programming experience is required, with knowledge of Java, MATLAB, and data analysis platforms such as Hadoop, being of high merit.
Professional experience and/or domain knowledge of physiological signal analysis in human monitoring is considered of merit.
MDH in Eskilstuna and Västerås is one of Sweden's biggest university colleges with its 15 000 students and 900 employees. It has a long tradition of cooperating with society and has entered strategic agreements with both the public and the private sector. Most study programmes fall into four main areas: economy, health and welfare, education, and technology. With its research, which often takes the form of co-production on the regional, national and global levels, MDH aims to generate useful solutions for societal development. In 1999, MDH was the world's first university to be environmentally certified, and in 2006, it was the first higher education institution in Sweden to be certified for its work environment.
Publiceringsdatum2017-06-15Så ansöker duSista dag att ansöka är 2017-08-15
KontaktMobyen Uddin Ahmed +46 21 10 73 69
FöretagMÄLARDALENS HÖGSKOLA
AdressMÄLARDALENS HÖGSKOLA
BOX 883
72123 VÄSTERÅS
KontorsadressHögskoleplan 1
Jobbnummer 3558518
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