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, information designers, network technicians and engineers. We have five research specializations with different research profiles and research schools. 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: 2
Closing date for application: 15th january 2025
Campus location: Västerås
School: School of Innovation, Design and Engineering, (IDT)

Eligibility
Access to third-cycle courses and study programmes at a higher education education as well as basic eligibility requirements and assessment criteria, are regulated in the Higher Education Ordinance chapter 7 §§ 34–41(SFS 1993:100). More information about third-cycle studies at MDU https://www.mdu.se/en/malardalen-university/education/third-cycle-studies

A full-time employment as a doctoral student is attached to this third-cycle studies which corresponds to four years.

Position description
The Department of Computer Science and Software Engineering is now looking for a Ph D student. AI systems can fail due to intentional causes, such as attacks from active adversaries, or unintentional causes, such as not providing reliable results. AI systems must take preventive measures against unintentional or unforeseen events. This requires the ability to assess, evaluate, and control risks in a dynamic environment. Additionally, various forms of adversarial attacks can emerge in AI domains. Effective solutions are needed to protect against these attacks, including mitigation strategies.

As a Ph D student, you will be involved in designing, conducting, and disseminating research focused on securing AI systems against attacks and risks. This includes:

• Developing methods to avoid or mitigate damage from hazard exposure and reduce AI risks in dynamic environments.
• Developing innovative and systematic methods to detect, defend, and evaluate defenses against malicious actors.

Additionally, the student will be responsible for writing academic articles and completing the courses required for the Ph D degree. The position may also include up to 20% teaching or other departmental duties.

Qualifications

For basic eligibility, the following is required:

• A degree at an advanced level.
• At least 240 higher education credits, of which at least 60 are at an advanced level.
• Equivalent knowledge acquired in Sweden or abroad through other means.

For this position, you must have a master's degree in computer science. Students with equivalent knowledge may also be admitted. Sound verbal and written communication skills in English is required.

Assessment criteria
Prior to employment, consideration must be given to the ability to assimilate third-cycle courses and study programmes at a higher education.

In addition to this ability, special emphasis will be placed on the following:

• Knowledge of cybersecurity techniques and machine learning algorithms. Candidates eager to learn and expand their knowledge in these areas are encouraged to apply.
• A solid foundation in mathematics and statistics.
• Knowledge of programming languages (including Python).
• Knowledge of reliability assurance of systems is highly desirable.
• Knowledge of Generative Adversarial Networks (GANs) is an advantage.
• Basic understanding of communication systems is an advantage.
• Knowledge of security principles in computer networks is meritorious.
• Experience in writing scientific publications is a plus.

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.se
Susanne 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.