PhD student in Computer Science for/with-focus-on Computer Vision and AI

At Mälardalen University people meet who want to develop themselves and the future. Our 16 000 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: 2021-01-15
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)

Position description
Research will be conducted within project FitDrive – Monitoring devices for overall FITness of DRIVErs

FitDrive aims to develop practical innovative methods and technological solutions for evaluating driver’s performance i.e. a non-invasive drivers’ monitoring system to monitor mental workload and cognitive load, physical fatigue and reaction time. Here, cutting-edge non-invasive solutions will be achieved together with data-driven analytics, real-time monitoring based on the combination of Drivers' biometric health data, Vehicular parameters and Vehicle data, and Professional drivers’ Contextual information. MDH is going to lead a work package “DRIVER PERFORMANCE AI AND MULTIMODAL MACHINE LEARNING DEVELOPMENT”, where main tasks are i) Perform multivariate data analytics using AI and multimodal machine learning; ii) Information fusion based on heterogeneous data sources; iii) Co-learning and reasoning for different driver states; iv) Personalized driver behaviour modelling and prediction.

FitDrive is a H2020 project comprises with 10 different partners from 7 countries in EU.

The position focus is on computer vision, image processing, advanced data analytics, machine learning, artificial intelligence, and signal processing; as well as data modeling for mental workload and cognitive load, physical fatigue and reaction time. 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 internationally.

Qualifications
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’s degree in Computer Science and Technology. Proficiency in English, both written and oral, is required.
• Knowledge/experience in artificial intelligence, deep learning, machine learning, cloud computing.
• Knowledge/experience in computer vision and image processing.
• Professional experiences as a research engineer in the area of artificial intelligence
• Extensive programming experience is required, with knowledge of Python, MATLAB, Anaconda, Spyder, Jupyter Notebook, Keras, Pytorch, and Django being of high merit.
• Knowledge/experience in data analytics using artificial intelligence, machine learning, deep learning using signal data e.g., WCSI/WCI waveforms/images, and UWB signals.
• Publications in international journals.

Research funding/grants, awards & honours are considered of merit

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.

 

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.