Magnus Almgren
6 months ago
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PhD Positions in Automotive Cybersecurity, IoT Swarm Security, and Cybersecurity & AI Chalmers University of Technology in Sweden
Degree Level
PhD
Field of study
Computer Science
Funding
The doctoral student positions are fully funded from the start. They are fixed-term appointments for four years, with the possibility to teach up to 20%, extending the position up to five years. Starting salary is 34,550 SEK per month. The Cybercampus-affiliated position also includes co-funding and mobility funds for research secondments, travel, and visits within the national cybersecurity environment.
Deadline
Expired
Country
Sweden
University
Chalmers University of Technology
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About this position
Three PhD positions are highlighted in this post, with two at Chalmers University of Technology and one at Uppsala University, all in cybersecurity-related research. The main research themes are automotive cybersecurity and digital forensics, trustworthy IoT swarm security, and AI-based intrusion detection in resource-constrained IoT systems. The Chalmers positions are within the Department of Computer Science and Engineering, a joint department of Chalmers and the University of Gothenburg, and one of them is tied to the Vinnova MAGIC project with industrial collaboration involving Volvo Cars and Volvo GTT.
The Cybercampus-affiliated position is part of the national Cybercampus Graduate School in cybersecurity. It offers a broader national research environment, joint supervision, secondments, networking, training activities, and mobility support. The post notes that the doctoral student will be supervised jointly by researchers at Chalmers and Linköping University for the IoT swarm security project, with longer research visits and collaboration across the Cybercampus network.
Eligibility is centered on a relevant Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field, plus strong English communication skills. For the automotive cybersecurity project, applicants with strong academic performance, a high-quality MSc thesis or equivalent independent work, and experience with experimental evaluation or system-level experimentation are especially encouraged. Interest in cybersecurity, AI, digital forensics, networking, distributed systems, and embedded/IoT security is highly relevant.
Funding is strong: the doctoral positions are fully funded from the start, with a fixed-term appointment of four years and the possibility of teaching up to 20%, extending the contract to five years. The salary is stated as 34,550 SEK per month. The Cybercampus position also includes co-funding and mobility funds for travel and research visits.
The Chalmers application deadline shown in the detailed call is 2026-04-25 for the automotive cybersecurity position and 2026-04-30 for the IoT swarm security position. The post advises candidates interested in multiple relevant positions to apply to all and mention this in the personal letter. Applications should be submitted online in English with CV, personal letter, references, and supporting academic documents.
Funding details
The doctoral student positions are fully funded from the start. They are fixed-term appointments for four years, with the possibility to teach up to 20%, extending the position up to five years. Starting salary is 34,550 SEK per month. The Cybercampus-affiliated position also includes co-funding and mobility funds for research secondments, travel, and visits within the national cybersecurity environment.
What's required
Applicants must have a Master's degree (120 credits) or a 60-credit magisterexamen in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field; for degrees earned outside Sweden, a 4-year Bachelor's degree is accepted. Strong written and verbal English skills are required. Relevant background in cybersecurity is required, with additional background in computer systems, networking, or a closely related area preferred. For the automotive cybersecurity position, good academic performance, a high-quality MSc thesis or equivalent independent written work, and experience with experimental evaluation or system-level experimentation strengthen the application. Interest in the intersection of cybersecurity, artificial intelligence, digital forensics, complex software systems, and/or distributed IoT security is valued.
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