Bell Labs PhD internship on Practical Multi-Party Computation Protocols for AI, Communication, and Multimedia (PhD)
Nokia
Secure Multi-Party Computation (MPC) has evolved to the point where advanced protocols enable practical, low-latency applications. However, many communication and multimedia tasks—such as message processing, collaborative filtering, private content analysis, and encrypted signal processing—still require custom MPC protocols and strong performance optimization.
This internship focuses on designing and implementing practical MPC protocols for modern communication and multimedia scenarios. The emphasis is on efficient, specialized building blocks that reduce communication costs, increase throughput, and enable near-real-time performance. Potential directions include: privacy-preserving processing of communication workloads, encrypted audio or media signal processing, efficient MPC for AI inference or filtering.
The goal is to take MPC from "theoretically feasible" to practical use through protocol innovation, system tuning, and implementation in existing MPC frameworks such as SPDZ, ABY, MP-SPDZ, or proprietary variants, including evaluation under realistic network conditions.
Duration: flexible, to be agreed (typically 3-5 months), starting time flexible
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
- Flexible and hybrid working schemes
- Well-being programs to support your mental and physical health
- Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
- Employee Growth Solutions to support your personalized career & skills development
- Diverse pool of Coaches & Mentors to whom you have easy access
- A learning environment which promotes personal growth and professional development - for your role and beyond
Design and prototype high-performance MPC protocols for real-world communication and multimedia workloads. #mpc #secure-computation #protocol-design #privacy #distributed-systems #cryptography
We are looking for a candidate who is enthusiastic about protocol design and secure computing:
PhD candidate in computer science/engineering.
Strong interest in MPC, privacy-preserving computation, or distributed cryptographic protocols.
Ability to design new protocols or adapt existing MPC constructs to specific workloads.
Solid implementation skills (e.g., Rust, C/C++, Go, JavaScript, or Python).
Performance-oriented mindset (communication/computational tradeoffs, batch processing, vectorization).
Explore MPC protocols suitable for communication, AI, and multimedia workloads, and identify those that best match the project needs.
Design and implement protocols or algorithmic components to meet specific application requirements.
Build a prototype in an MPC framework and benchmark its performance under realistic conditions.
Analyze results, compare protocol choices, and identify optimization opportunities.
Summarize the findings which ideally lead to a research publication.