Mälardalen University is growing and evolving due to increased research funding from the Swedish Government. Join our team on this exciting journey towards MDU`s vision, to be a progressive and collaborative University where together we shape a sustainable future. You can make a difference. Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new perspectives are best attained and reached together in collaboration with others – our colleagues, students, the private and public sectors, both nationally and internationally.
Around 20 000 students are currently studying courses and programmes with us in the various domains. We offer education in areas such as design and communication, economics, health, engineering and technology, preschool and compulsory school teacher training as well as in chamber music and opera. In most of our areas we also offer programmes entirely taught in English. We conduct research in all disciplinary domains and our research in Future Energy and Embedded Systems is internationally prominent.
Mälardalen University is located in Sweden, on both sides of Lake Mälaren, with campuses in Eskilstuna and Västerås. Mälardalen is a region dominated by strong growth with several multinational companies based here such as ABB, Volvo, Westinghouse, Alstom and Northvolt. We enjoy close cooperation with the region’s private sector, municipalities, and county councils.
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: 2023-01-25
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)
Position description
The research will be conducted within the research specialization of Embedded Systems, a collaborative and energetic research profile that ranks internationally among the best in the world. Specifically, the successful candidate will be a part of an emerging research group in Neuroengineering, with focus on Brain-Computer Interface (BCI) technology for rehabilitation and cognitive training.
In particular, the PhD student will work on EEG-based BCI for rehabilitation. This work will involve conducting real-time BCI experiments and data collection in a clinical research study to investigate Motor Imagery BCI rehabilitation after stroke and performing data analysis. Data collection includes electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) measurements.
The work is conducted in close collaboration with Danderyd Hospital and data collection will take place at both Danderyd Hospital and Stockholm University in Stockholm, while analyses will take place at Mälardalen University in Västerås.
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 is required to have an educational background in engineering (master’s degree or equivalent) with extensive knowledge in LabVIEW and MATLAB programming related to online neurofeedback systems using a visual interface. The candidate should have an aptitude to familiarize him/herself with extensive systems, spanning multiple applications. The candidate should be able to work independently, as well as in a team; and be enthusiastic about rehabilitation engineering and working with patients. Good oral and written communication skills in both Swedish and English are 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
Very good knowledge in:
- signal processing related to time-frequency analysis of multi-channel EEG signals
- AI/Machine Learning to extract information from time series data
- Unity (Unity, C#)
Extensive practical experience of:
- EEG and fMRI recordings
- set-up of time-synchronized multi-acquisition platforms related to eye-tracking and EEG acquisition
- data communication in systemsengineeringrelated to neurotechnology
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.
We decline all contact with recruiters and salespersons of advertisements. We have made our strategic choices for this recruitment.
Union representatives:
Michaël Le Duc (SACO), tel: +46 (0) 21-10 14 02
Susanne Meijer (OFR), Tel: +46 (0) 21-10 14 89
Contact person
Elaine Åstrand
Docent i medicinteknik
elaine.astrand@mdu.se
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