Research Assistant in Computer Science

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, Temporary employment up to two years depending on the start of employment Scope: Full time
Closing date for application: 2022-07-12 
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)

Position description
This position is defined in the scope of the project PDF (Personalized, Dynamic and Flexible Educational Model for Industrial Professionals and in the area of life-long Machine learning model. 

The position includes the following tasks:


• Implementation, coordination, and related practical development within the project PDF
• Design the educational model and validation plan in project PDF
• Development of life-long learning model for machine learning
• Development of Random Forest, Recurrent Neural Networks using Python programming
• Data analysis using Python programming

Qualification requirements
The applicant is required to have a bachelor or master's level degree in computer science. Knowledge and experience in programming languages and modeling and analysis tools such as Python. The position requires sound verbal and written communication skills in English.

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
You are open-minded and interested in collaborating across borders within and outside MDU. Teamwork, organizational and entrepreneurial skills are advantages.

Further merits for the position are:


• Knowledge in statistical analysis and life-long learning model in Machine learning is highly valued.
• Interest in developing methods and bringing them into different application areas.
• Ability to collaborate with other researchers as well as work independently.
• Curious, goal-oriented, flexible, ambitious, and communicative personality.

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