Researcher in Computer Science for Data Analytics

At Mälardalen University people meet who want to develop themselves and the future. Our 15 000 students read courses and study programmes in Business, Health, Engineering and Education. We conduct research within all areas of education and have internationally outstanding research in future energy and embedded systems. Our close cooperation with the private and public sectors enables us at MDH to help people feel better and the earth to last longer. Mälardalen University is located on both sides of Lake Mälaren with campuses in Eskilstuna and Västerås.

At the School of Innovation, Design and Engineering our students are studying to be for example innovators, entrepreneurs, illustrators, communications officers, network technicians and engineers. Here we have the research specialisations of Embedded Systems, and Innovation and Product Realisation. Our work takes place in cooperation with and in strategic agreements with companies, organisations and public authorities in the region.

Employment information
Employment: Temporary employment
Scope: Full time 
Closing date for application: 2019-05-13
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)

Position description
 The research environment Embedded Systems (ES) announces a researcher position in Computer Science. ES is the nationally leading center in embedded-system research and internationally known for the ability to combine the highest academic standard with industrially relevant research.

Research will be conducted within project BRAINSAFEDRIVE – A Technology to detect Mental States During Drive for improving the Safety of the road – and the H2020 project SimuSafe – Simulator of behavioural aspects for safer transport.

BRAINSAFEDRIVE aims to develop “attentional detectors” that detect drivers’ mental state in terms of inattentive, confused, and tired, in real time during simulated and/or natural driving situations. The project combines state of the art approaches in 1) the acquisition and analysis of cerebral signals, i.e. Electroencephalography (EEG) and Electrooculography (EOG); 2) the application of Artificial Intelligence (AI) and Machine learning (ML) algorithms. BRAINSAFEDRIVE will realize a tool for the comprehension and characterization of the cerebral states during visuo-motor decision-making in drive. The drivers’ mental state will be correlated with vehicular parameters, e.g., brake, speed, acceleration, lane changes, etc., to classify the driving as “normal, healthy, and safe”.

The goal of SimuSafe is to make use of state of the art simulation, AI, Virtual Reality and data science methodologies to retrieve accurate actor and behavioural models in a transit environment, and reproduce these in controllable settings of traffic simulators in order to determine cause and consequences of incidents. MDH will provide data analytics and metric computation functionality for different actor models such as car, pedestrian, and two-wheeler. Neurometric indexes of risky attitudes and behaviours based on physiological parameters jointly with contextual information will comprise risk perception, awareness, attention and decision-making.

The position focus is on advanced data analytics, machine learning, artificial intelligence, and biomedical signal processing, as well as data modeling and simulation environment integration. The work requires theoretical studies on state of the art, together with software development and testing. As a researcher, you are expected to develop independent ideas and to communicate research results. The employment includes collaboration and co-production both nationally and internationally.

 The position is a temporary employment until the end of 2020.

Qualification requirements
The applicant is required to have a PhD degree in  Computer Science. The applicant should have a PhD degree with a focus on multivariate data analytics using multimodal machine learning and biomedical signal processing. Furthermore, the applicant should have knowledge/experience in

• Physiological signal analysis in driver’s state (e.g., cognitive load, stress, distraction, etc.) monitoring (i.e., detection and classification).
• Big data analytics, applied artificial intelligence.
• Cerebral signals i.e., electroencephalography (EEG) signal processing and classification.
• Multi-sensor data fusion, physiological signal processing (e.g., electrocardiography (ECG), electrooculography (EOG), galvanic skin response (GSR))

Extensive programming experience as well as proficiency in English, both written and oral, is required.

Decisive importance is attached to personal suitability. We value the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organization.

Merit
Knowledge of MATLAB, Java, Python, and data analysis platforms such as Hadoop, is of high merit.

Hands-on experience of measuring and collecting data for driver’s state monitoring, teaching experience, e.g., teacher or lab assistant, and supervision of BSC/MSC students in relevant courses are considered of merit.

Application
Application is made online. Make your application by clicking the "Apply" button below.

The applicant is responsible for ensuring that the application is complete in accordance with the advertisement and will reach the University no later than closing date for application.

We look forward to receiving your application.

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