Christian Rohner

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Uppsala University
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Sweden

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Positions (1)

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André Teixeira

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Uppsala University

PhD in Secure Control Systems under Uncertainty and Cyber-Physical Systems Security at Uppsala University

Uppsala University is hiring a fully funded PhD student in secure control systems , cyber-physical systems security , and control theory within the EU-funded MSCA Doctoral Network SecReSy4You . The position is hosted at the Department of Information Technology and the student will join the Secure Learning and Control Laboratory , an interdisciplinary group working at the intersection of cybersecurity , automatic control , systems theory , artificial intelligence , and machine learning . The project focuses on developing new theories and methods for secure and resilient control systems under uncertainty and realistic adversaries, including trade-offs between nominal performance, resilience, and uncertainty. This is one of 10 PhD positions in the SecReSy4You network, which connects leading universities and companies across Europe. The role includes research collaboration, publications in top journals and conferences, network events, and transnational academic/industrial secondments. Research visits abroad of up to 6 months are part of the programme. Funding: The position is fully funded under Marie Skłodowska-Curie Actions. It includes a competitive salary, mobility allowance, and family allowance if applicable. The advertised gross salary is about 37,000 SEK/month (before taxes, without family allowance), with a regular doctoral contract for the remaining period and a salary increment of 1,800 SEK/month. Eligibility highlights: Applicants should have a Master’s degree in electrical and computer engineering, engineering physics, computer science, applied mathematics, or a closely related field; very good academic performance; strong knowledge of control and systems theory; programming skills; a high-quality MSc thesis or equivalent writing sample; and excellent English. MSCA mobility rules apply: applicants must not have lived or worked in Sweden for more than 12 months in the 3 years before recruitment, and must not already hold a PhD or be enrolled in a doctoral programme. Application deadline: 2026-04-29. Apply through the linked application portal and submit the required documents, including a cover letter, CV, transcripts, thesis/writing sample, and two references.

3 months ago

Articles (1)

Decomposing and Tracing Mutual Information by Quantifying Reachable Decision Regions

The idea of a partial information decomposition (PID) gained significant attention for attributing the components of mutual information from multiple variables about a target to being unique, redundant/shared or synergetic. Since the original measure for this analysis was criticized, several alternatives have been proposed but have failed to satisfy the desired axioms, an inclusion–exclusion principle or have resulted in negative partial information components. For constructing a measure, we interpret the achievable type I/II error pairs for predicting each state of a target variable (reachable decision regions) as notions of pointwise uncertainty. For this representation of uncertainty, we construct a distributive lattice with mutual information as consistent valuation and obtain an algebra for the constructed measure. The resulting definition satisfies the original axioms, an inclusion–exclusion principle and provides a non-negative decomposition for an arbitrary number of variables. We demonstrate practical applications of this approach by tracing the flow of information through Markov chains. This can be used to model and analyze the flow of information in communication networks or data processing systems.

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2023

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