PhD in Secure Multi-Agent Control Systems

Mälardalen University
November 30, 2023
Offerd Salary:Negotiation
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Contract Type:Other
Working Time:Full time
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PhD in Secure Multi-Agent Control Systems Västeras

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 17 000 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 Scope: Full time Closing date for application: 2023-11-30 Campus location: Västeras School: School of Innovation, Design and Engineering, (IDT)

Position description

Cyber-physical systems (CPSs) are systems that integrate computation, networking, and physical processes. They are designed to monitor, control, and coordinate the interactions between the physical world and the digital world. CPSs are used in a wide range of applications, including infrastructure control (e.g., electric power, water resources), distributed robotics (e.g., telepresence, telemedicine, automated manufacturing), autonomous vehicles, and more. CPSs are becoming increasingly important as the world becomes more interconnected, thanks to advances in (Industrial) Internet of Things (IoT), wireless communication, and distributed computing.

The interconnected nature of modern CPSs exposes them to additional security threats that can lead to significant economic and physical damage. The consequences of cyber-physical system failures or cyberattacks can be catastrophic, in both the digital and physical domains.

Our research endeavours to pioneer innovative system-theoretic methodologies that empower the creation of intelligent cyber-physical systems robust to adversarial attacks. Our research focus primarily revolves around control theory and multi-agent systems, complemented by techniques from optimization and statistical learning.

This Ph.D. student position is a fully funded position and an integral part of the “TRIM: TRustworthy Interaction of Multi-agent systems” project that is part of the Trusted Smart Systems (TSS) initiative at MDU. The successful candidate will become a valued member of the Complex Real-Time Embedded Systems (CORE) research group. Our group carries out interdisciplinary research at the intersection of cybersecurity, control theory, machine learning, and embedded systems. Our overarching vision is to spearhead the development of methodologies that enable the design of intelligent, autonomous decision-making systems that possess unwavering security and resilience against both malicious adversaries and natural adversities.

The Ph.D. student is expected to start in the Spring semester of 2024.


Only those who are or have been admitted to third-cycle courses and study programmes at a higher education may be appointed to doctoral studentships. For futher information see Chapter 5 of the Higher Education Ordinance (SFS 1993:100).

The candidate must:

  • Hold a Master of Science (second cycle) degree or equivalent, in a field that is relevant to the topic of the project at the time of enrollment as PhD student.
  • Have good communication skills with sufficient proficiency in oral and written English, as well as excellent study results.
  • Have appropriate personal characteristics, such as a high level of creativity, thoroughness, and/or a structured approach to problem-solving.
  • Additional qualifications include (i) proficiency in programming (preferably in MATLAB or Python), and (ii) knowledge of control theory or applied mathematics with a focus on linear algebra, statistics, and optimization.

    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.


    Experience and courses in one or more of the following subjects are considered as merit:

  • control theory, linear systems, nonlinear control, optimal control, robust control, system identification, model predictive control,
  • artificial intelligence, machine learning, multi-agent systems,
  • optimization, distributed optimization
  • cyber-security
  • 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

    Contact person

    Alessandro Papadopoulos


    +46 (0) 73 662 0877

    [email protected]

    URL to this page

    https: //⟨=UK&rmpage=job&rmjob=2199&rmlang=UK

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