PhD Position in Resource-Efficient Cryptographic Mitigation for Power System Cybersecurity
Fully funded PhD opportunity to develop secure, interpretable methods for detecting and mitigating cyberattacks in power systems using cryptographic techniques.
Best for:Best for candidates with a Master’s in cybersecurity, computer engineering, electrical/power engineering, or computer science, seeking to bridge theoretical cryptography with practical cybersecurity solutions in critical infrastructure.
Overview
This fully funded PhD position at Tallinn University of Technology (TalTech) focuses on advancing cybersecurity in power systems by designing resource-efficient cryptographic methods to detect and mitigate cyberattacks. The project, part of the SIPSIK consortium, integrates expertise from academia and industry to create a unified framework for studying, detecting, and mitigating cyber threats without compromising operational infrastructure. The successful candidate will collaborate with researchers across TalTech, the University of Tartu, and industry partners to develop interpretable, data-driven solutions using real-world and simulated power system data. The research will explore post-quantum cryptography (ML-KEM, HQC, ML-DSA, SLH-DSA) and validate its integration into power systems while ensuring reliability, security, and compatibility with legacy systems.
What you'll do
- Develop interpretable, resource-efficient methods for detecting cyberattacks in power system infrastructure using real-world and simulated data.
- Investigate the relevance of specific measurements, commands, and communication flows to operational security across power system value chains.
- Assess the integration of post-quantum cryptographic techniques (ML-KEM, HQC, ML-DSA, SLH-DSA) into power systems while preserving reliability and availability.
- Validate cryptographic methods using real-time digital simulation, network simulation tools (e.g., NS-3), and cyber-physical testbeds.
- Collaborate with industry partners to translate research into practical migration guidance for energy sector operators.
- Publish findings in peer-reviewed journals and present results at international conferences.
- Contribute to the SIPSIK consortium’s unified framework for studying, detecting, and mitigating cyberattacks in power systems.
Requirements
Degree required: Master’s degree in cybersecurity, computer engineering, electrical or power engineering, computer science, or a closely related discipline.
Degree offered: PhD
Language: English; proficiency level as per TalTech’s current requirements (likely IELTS 6.5 or equivalent).
Instruction: English
- Proven academic background in cybersecurity, cryptography, or power systems engineering.
- Experience with digital simulation tools (e.g., NS-3) or cyber-physical systems.
- Strong programming skills (e.g., Python, C++, MATLAB) for developing algorithms and simulations.
- Familiarity with machine learning techniques, particularly interpretable models.
- Knowledge of post-quantum cryptography principles and applications.
- Ability to work collaboratively with industry and academic partners.
- Open to all nationalities (no residency restrictions mentioned).
- No age or prior experience caps beyond the Master’s degree requirement.
Funding & terms
How to apply
Deadline: 2026-10-15 (Europe/Tallinn)
Submit your CV and academic transcripts via email to the supervisors (Tara Ghasempouri, Sedat Akleylek, Marko Tealane) using the subject line: ‘PhD Position – Cyberattack mitigation methods in Power Systems’. Candidates shortlisted after the first interview will be invited for an online interview.
- Curriculum Vitae (including education, research experience, publications, and technical skills)
- Copy of passport identification page
- Proof of English language proficiency
- Bachelor’s degree diploma and academic transcript
- Master’s degree diploma and academic transcript
- Additional documents as per TalTech doctoral admission regulations
Contact
Tara Ghasempouri / Sedat Akleylek / Marko Tealane· Supervisors
tara.ghasempouri@taltech.ee, sedat.akleylek@ut.ee, marko.tealane@taltech.ee
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.