Research & consortium collaboration
Technical work packages, prototypes, validation plans and cybersecurity architecture.
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Talent & collaboration
Build, learn and contribute to secure intelligent systems.
CyberAI welcomes research partners, technical talent and motivated students who want to work on cybersecurity, trustworthy AI, cloud–edge systems and evidence-driven prototypes.
Collaboration routes
Choose the route that matches your contribution.
Our collaborations are project-focused. We define the technical question, expected evidence, supervision model and delivery boundaries before work begins.
Specialist talent
Project-based roles in cybersecurity, AI assurance and distributed systems.
Open this route →Students & academic projects
Supervised internships, thesis-aligned assignments and practical training.
Open this route →What we value
Profiles we are interested in meeting.
We value technical depth, careful documentation, curiosity and the ability to distinguish a research claim from verified implementation evidence.
Cybersecurity
Threat modelling, detection, resilience, privacy and secure-system evaluation.
Trustworthy AI
Model integrity, robustness, data protection, explainability and runtime assurance.
Cloud & edge systems
APIs, containers, distributed workloads, gateways and secure deployment.
Prototype engineering
Python, web technologies, data pipelines and reproducible demonstrations.
Student & research opportunities
0 active
Choose the collaboration route that matches your study and funding situation.
CyberAI separates funded work, paid internships, supervised research training and academic collaboration so that compensation, supervision and expected outputs are clear before you apply.
Funded positions
Employment or project placements linked to an approved budget, defined deliverables and written compensation terms.
0 active funded/employment rolesPaid internships
Bachelor, Master or PhD internships where an allowance or salary is explicitly stated in the opportunity.
Payment is never implied when it is not published.Supervised research training
Learning-centred placements with a supervisor, training plan, review points and a verified completion certificate.
0 active training placementsThesis & academic collaboration
Propose a Bachelor thesis, Master thesis, visiting-student project or research collaboration aligned with CyberAI.
Use the open application when no listed role fits.OPEN APPLICATION
Submit open application
No public opening matches you yet?
Join the CyberAI talent pool and indicate whether you are interested only in funded positions or are also open to supervised research training.
Student pathway
Supervised pathways for undergraduate, master’s and doctoral students.
Internship topics are matched to active research capacity, available supervision and the student’s academic background.
Define the assignment
A bounded cybersecurity or trustworthy-AI problem.
Build with mentoring
Regular technical reviews, implementation or experimentation.
Document the evidence
Outputs suitable for academic assessment or a technical portfolio.
Introduce your expertise, proposed contribution and preferred route.
A clear first message is more useful than a generic CV submission.