PhD student in Computer Science, Trustworthy AI
Mälardalens Universitet / Högskolejobb / Västerås
2024-02-05
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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
Scope: Full time
Number of positions: 1
Closing date for application: 2024-02-25
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)
Only those who are or have been admitted to third-cycle courses and study programmes at a higher education may be appointed to doctoral studentship. More information about third-cycle studies at MDU.
For further information about basic eligibility requirements and assessment criteria, see Chapter 7 of the Higher Education Ordinance (SFS 1993:100).
Position description
AI is increasingly being integrated into daily life to enhance our abilities. However, AI poses significant risks and challenges in various areas of application. As a result, there are growing concerns about the trustworthiness of AI systems, particularly in critical environments.
In trustworthy AI, we aim to develop computational solutions for AI systems that meet the requirements for trustworthiness and gain society's trust.
The PhD position is available in computer science with a focus on trustworthy AI. The student position will focus on the following research area:
Topic: Responsible AI
The project will conduct empirical research on algorithmic biases to increase trustworthiness in AI. Further investigation will include the theoretical and technical aspects of measuring the fairness, fairness auditing, and discrimination for AI algorithms that can manifest in AI systems due to reasons such as the data collection process, uncertainty in underlying data distributions, and inherent biases in the underlying AI models. In particular, the investigation in this project includes:
• Minimizing bias in data-generating processes.
• Developing methods for detecting, analysing and handling bias.
• Auditing bias by incorporating fairness constraints.
Qualifications
The applicant should have a B.SC/M.Sc. or four years of study (240 higher education credits) with at least one year (60 credits) at second-cycle degree in Computer Science or Computer Engineering. Proficiency in English, both written and oral, is required.
• Knowledge and experience in Artificial intelligence and Machine learning.
• Programming experience is required such as knowledge of Python, and related libraries e.g., Tensorflow or PyTorch and Pandas etc.
Assessment criteria
Prior to employment, consideration must be given to the ability to assimilate third-cycle courses and study programmes at a higher education.
Knowledge in one or more of the following areas will provide a competitive advantage:
• Knowledge of statistics and probability theory.
Knowledge of linear algebra and optimization is advantageous.
Experience in writing scientific articles and honours, awards are considered to be merit.
In an overall assessment of suitability, emphasis is also placed on personal abilities. All employees at MDU are expected to cooperate and treat colleagues and students with respect, take responsibility for the organisation and their own work duties and contribute to a positive work environment.
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.
Union representatives:
Saco-S
saco-s@mdu.seSusanne Meijer ST-OFR/S, tel: 021-10 14 89
We decline all contact with recruiters and salespersons of advertisements. We have made our strategic choices for this recruitment.
Ersättning Månadslön
Så ansöker du Sista dag att ansöka är 2024-02-25
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 Docent
Radu Dobrin
radu.dobrin@mdu.se Jobbnummer 8445367
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