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: 2022-09-30 to 2024-03-31
Scope: Full time
Closing date for application: 2022-09-14
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)

Research will be conducted within project FitDrive – Monitoring devices for overall FITness of DRIVErs. https://www.fitdrive.eu/

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. Development of life-long learning model for machine learning.

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 Research Assistant, 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.

The applicant is required to have a PhD in Computer Science.

• Knowledge in statistical analysis and life-long learning models in Machine learning is required.
• Knowledge/experience in artificial intelligence, deep Learning, machine learning, and cloud computing.
• 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.

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 and experience in Recommender Systems Based on Probabilistic Matrix Factorization
• Experience in teaching and supervision in undergraduate student.
• Experience in course and program syllabus development.
• Professional experiences as a research assistant in artificial intelligence and in an EU project.
• Extensive programming experience is required, e.g., C++, Python, SQL (MySQL), and MATLAB, Tools & Packages: NumPy, pandas, matplotlib, scikit-learn, Tensorflow, Spacy, gensim, Pyspark, Gephi, Miro, Jupyter Notebook, Weka, SPSS, Azure ML, and Google Cloud Platform (GCP), Miscellaneous: Version Control Systems Git/GitHub, Agile Software Development (Jira) and LATEX
• Ability to collaborate with other researchers as well as work independently.
• Curious, goal-oriented, flexible, ambitious, and communicative personality.
• Experience in Peer-reviewed Journals Publications.
• Research Funding/Grants, Awards & Honours are considered of merit

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

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