Postdoc in Explainable AI
Mälardalens Universitet / Högskolejobb / Västerås
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hela Sverige Mälardalen University (MDU) is the youngest university in Sweden. In line with our vision, to be a progressive and collaborative University where we shape a sustainable future together, we wish to make a difference.
Do you want to be involved and contribute to our development?
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
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, 2 years
Scope: Full time
Closing date for application: 2024-01-10
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)
Position description
Research will be conducted within the EU-funded projects TRUSTY and FitDrive.
The project TRUSTY aims to provide adaptation in the level of transparency to enhance the trustworthiness of AI-powered decisions in the context of remote digital towers (RDTs). 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.
The position focus is on computer vision, image processing/signal processing, advanced data analytics, machine learning, artificial intelligence, and explainable AI (XAI). It also requires developing self-explainable and self-learning' systems for critical decision-making and Transparent ML' models incorporating interpretability, fairness, and accountability.
The work requires theoretical studies on the state of the art, together with algorithm development and testing. As a postdoc, you are expected to develop independent ideas and to communicate research results in oral and written form. The employment includes international collaboration and co-production internationally.
The position is a temporary employment of 2 years.
Qualifications requirements
The applicant is required to have a PhD degree in Computer Science. The applicant must have completed the degree no more than three years before the end of the application period.
This position requires knowledge and experience in artificial intelligence, deep Learning, machine learning, and explainable artificial intelligence (XAI). Knowledge and experience in the development of interpretable machine-learning models with human-understandable features. Fluent in English, both written and spoken.
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 organisation.
Merit
• Knowledge and Experience in XAI in application domains, e.g., such as Air traffic management and drivers' mental workload quantification and risky behaviour detection with explanations.
• Professional experience in EU projects.
• Extensive programming experience, e.g., C++, Python, SQL (MySQL), KNIME, and MATLAB, Tools & Packages.
• Extensive knowledge in LIME, SHAP, DALEX and User evaluation.
• Experience in teaching and supervising undergraduate students.
Application
Application is made online. Make your application by clicking the "Apply" button below.
The scientific publications that you do not have in digital form are to be sent by post to:
Mälardalen University
Division of Human Resources
Ref.no: 2023/3144
Box 883
721 23 Västerås
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), Telefonnummer: +46 (0) 21-10 14 89
Ersättning Månadslön
Så ansöker du Sista dag att ansöka är 2024-01-10
Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb.
Arbetsgivare Mälardalens Universitet (org.nr 202100-2916),
http://www.mdu.se Arbetsplats Mälardalens universitet
Kontakt Head of Division
Radu Dobrin
radu.dobrin@mdu.se Jobbnummer 8344552
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