PhD Student in Cybersecurity: Uppsala University invites applications for a PhD position in the intersection of cybersecurity and artificial intelligence, focusing on lightweight and explainable AI-based intrusion detection in resource-constrained IoT environments.
PhD Student in Cybersecurity and Artificial Intelligence, Uppsala University, Sweden
Designation
PhD Student in Cybersecurity and Artificial Intelligence
Research Area
- Cybersecurity
- Artificial Intelligence
- Machine Learning
- Internet of Things (IoT)
- Embedded Systems
Location
Uppsala University, Uppsala, Sweden
Eligibility/Qualification
| Requirement | Details |
|---|---|
| Education | Master’s (second-cycle) degree in computer science, computer engineering, machine learning, or a closely related field. |
| Other Qualifications | Equivalent knowledge through experience, strong academic performance, programming experience (Python, C/C++), and excellent communication skills in English. |
| Additional Skills | Analytical ability, collaborative skills, interest in AI and security, experience in evaluation methods, and capability to work independently and in teams. |
Description
The doctoral project will focus on developing innovative, resource-efficient machine learning techniques to enhance the security of IoT systems in constrained environments. The candidate will engage in cutting-edge research addressing evolving cybersecurity threats while collaborating internationally through the Cybercampus Sweden initiative, which enhances Sweden’s digital resilience.
How to Apply
Interested candidates should submit the following documents:
- Cover letter (maximum two pages) detailing motivation and suitability for the position.
- Curriculum vitae (CV).
- Copies of degrees and transcripts (with translations if applicable).
- A Master’s thesis (or a draft) and another self-produced technical writing.
- Contact details for two references.
Submission
Applications must be submitted through Uppsala University’s recruitment system.
Last Date to Apply
March 31, 2026
For further details or inquiries, contact Professor Christian Rohner at christian.rohner@it.uu.se or +46701679361.
