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Huawei Finland R&D in Helsinki seeks a Senior Researcher focused on machine learning for platform security. You will advance ML techniques for device security, working across hardware and OS layers to ensure robust protection in consumer devices.
The role requires deep ML expertise and a strong security mindset, with opportunities to publish and collaborate with industry partners. The project emphasizes transformer-based architectures and real-world deployments, with on-site work in Helsinki.
With recent developments in Agentic AI, the impressive capabilities of large language models and the widespread application of AI-based services, products and tools, the security architecture of (consumer) computing devices is adapting to new concepts of computing - among others the transition from application-based to agentic devices, heterogeneous architectures with security features distributed between accelerators and CPUs as well as new access control demands related to balancing agentic capabilities against protection a devices against attacks. Additionally, machine learning models can likely also be leveraged as a framework for security decisions related to anomaly detection, threat intelligence (APT) - even access control if the logic can be synthetized to setups that are small and fast enough to be used e.g., locally on terminal devices without harmful loss of accuracy.
We are looking to complement our team with a researcher whose main direction will be specializing in machine learning for platform security. Preferably the candidate has a solid background in both machine learning techniques and technology (neural networks, inference architectures, including transformers) and the application of such, as well as skills and experience needed for platform security, i.e., a solid understanding of security concepts and cryptography, computer hardware and architecture (OSs) as well as low-level/embedded programming. For this candidate, a deep understanding of ML however takes priority. We are looking for PhD-level candidates (fresh or soon-to-be graduates), or potentially candidates with a lower education level, but solid industry experience in the fields presented. The position is full-time, permanent, on-site in Helsinki, Finland
PhD-level candidates
Strong educational background in probabilistic machine learning, statistics, applied mathematics
Hands-on experience in applying AI/ML to real-world use cases
Familiarity with computing architecture and operating system internals
Sufficient skills to work and interact in English
Good team-working skills
Candidates with interest to conduct research in an industrial environment
Solid experience with low-level, OS-like software (hypervisors), hardware architecture
using programming languages such as C, C++ or Rust.
Education / experience / coursework in security-related fields such as cryptography, cybersecurity, virus protection / threat intelligence, anomaly detection, attacks (CTF, ..)
This position is located at our R&D office in Ruoholahti, Helsinki, Finland. The role requires full-time onsite work from our Helsinki office.
This is a full-time employee position.
Helsinki Systems Security Laboratory in Huawei Finland (HSSL) drives renewal and mastery in the field of platform / device related security technologies for consumer devices such as mobile phones and PCs. Our topical expertise lies in hardware-assisted memory protection, trustworthy execution (processor isolation primitives, hypervisor, TEE, kernel hardening), as well as functionality like device key management, attestation and integrity. We are also making inroads in the areas of security testing and AI protection on terminal devices.