Postdoctoral position in Automatic Control focusing on resilience in large-scale critical infrastructures
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The Department of Information Technology has a leading position in research and education. The Department currently has about 300 employees, including 120 teachers and 110 PhD students. More than 4000 students study one or more courses at the department each year.
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At the Division of Systems and Control, we develop methodology for and applications of automatic control, system identification, and machine learning. Developing mathematical models that capture real-world dynamical phenomena evolving in and interacting with their environment is central to all these areas of information technology. Based on the models, algorithms are developed that allow machines and humans to operate efficiently in the world around us. Optimization methods are of central importance since they constitute the computational core of control, system identification, and machine learning. Model uncertainty quantification is an important aspect since it allows for design of algorithms with performance guarantees.
The Division of Systems and Control enjoys a wide network of strong international collaborators all around the world, for example at the Delft University of Technology, University of Cambridge, University of Oxford, Imperial College, University of British Columbia, University of Sydney, University of Newcastle and Aalto University.
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The successful candidate will join the Secure Learning and Control Laboratory, a growing interdisciplinary research group doing basic and applied research at the intersection of cybersecurity, control theory, and machine learning. Our vision is to develop methodologies for designing intelligent autonomous decision-making systems that are secure and resilient against malicious adversaries and natural failures.
The postdoctoral researcher will intensify our work (on both method development and applications) in secure control systems and may, if the candidate wishes, be paired with real-world applications in e.g. water networks or smart grids. The position might also include teaching in related subjects (max 20%).
Project description: Resilience in Large-Scale Critical Infrastructures
This position is part of the project “Resilience, Safety, and Security in Tree-structured Civil Networks” funded by a grant from the Swedish Research Council. Civil infrastructure networks critically support modern society by distributing resources and protecting communities from hazards. The resilience of civil infrastructure networks to disruptive events is the overarching topic of the project.
The main purpose of the project is to devise a coherent system-theoretical platform for resilience analysis of civil infrastructure networks, as well as resilience-informed control of those, under disruptive events such as failures, breakdowns, natural hazards, and cyberattacks.
The project will be conducted along three main threads: Mathematical modeling of civil infrastructure networks under disruptive events; Model-based assessment of resilience via operational indices; Resilience-informed control of the networks. The feasibility and efficacy of the developed mathematical models and algorithms is expected to be evaluated with respect to applications such as smart grids or urban water and wastewater networks.
More information can be found via this link to the project’s description.
PhD degree in a field closely related to this position or a foreign degree equivalent to a PhD degree in a field closely related to this position. The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for the employment. The starting point of the three-year frame period is the application deadline. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.
The applicant must have a strong background in method development and the use of control theory. As a person, you are creative, thorough and have a structured approach. When selecting among the applicants we will assess their ability to independently drive their work forward, to collaborate with others, to have a professional approach and to analyze and work with complex problems. Great emphasis will be placed on personal characteristics and personal suitability. Excellent knowledge of oral and written English is a requirement.
Additionally, experience of interdisciplinary research is a merit. Experience and courses in one or more of the following subjects is valued: nonlinear control, system identification, robust control, estimation and fault detection, model predictive control, statistical machine learning, and optimization. For this project, we also value knowledge in dynamical and control systems and large-scale dynamical systems, as well as experience with scalable algorithms in the context of analysis and fault detection in large-scale systems.
The application must contain:
- A curriculum vitae (CV);
- A copy of relevant degrees and grade documents (translated into Swedish or English);
- A list of publications;
- Up to five selected publications in electronic format;
- A research statement describing your past and current research (max 1 page) and a proposal for future activities (max 1 page). The statement should explain how your profile fits the position;
- Contact information for two references (name, e-mail, and phone number);
- A cover letter briefly describing your motivation for applying for this position and the earliest possible employment date (max 1 page);
About the employment
The employment is a temporary position of 2 years according to central collective agreement. Scope of employment 100%. Starting date as agreed. Placement: Uppsala.
For further information about the position, please contact: Associate Professor André Teixeira (phone: +46 18-471 5414, email: firstname.lastname@example.org) and Assistant Professor Per Mattsson (phone: +46 18-471 3168, email: email@example.com).
Please submit your application by 17 april 2023, UFV-PA 2023/383.
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Submit your application through Uppsala University's recruitment system.
Placement: Department of Information Technology
Type of employment: Full time , Temporary position
Pay: Fixed salary
Number of positions: 1
Working hours: 100%
County: Uppsala län
Number of reference: UFV-PA 2023/383
Last application date: 2023-04-17
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