We are hiring on multiple topics. The openings are for master internship, Ph.D. and/or research engineer positions.
More details are in the attached file and are displayed below.
Open research positions
Recent publications
- ALARM: Adaptive Layer-Aware Resource Management for Power-Efficient vRANs
- PQTrust-Agent: Policy-Compiled Post-Quantum Trust Contracts for Web-of-Agents Communications
- Evaluating Indirect Prompt Injection in RAG Systems: Defense-in-Depth, Retrieval Effects, and Security-Utility Trade-offs
- Measuring the Operational Value of Identity-Driven Micro-Segmentation in Hybrid Environments: A Reproducible Comparison with ACL-Based Segmentation
- Building a Community-Grounded Spell Checker for the Kabyle Language Using NLP Powered by AI
- From Attack Scenario to Measurable Detection Improvement: A Knowledge-Driven ATT&CK/D3FEND Framework for Instrumented Purple Teaming
- CIGMA: An Evidence-Grounded Cryptographic Inventory Graph for Reproducible Post-Quantum Migration Prioritization
- Context vs. Compute: Self-Hosted Detection Rule Generation with Knowledge-Graph-Augmented Language Models
- AgentFlowShield: Defending LLM Agents Against Metadata Side Channels
- The Life of a Token: from Words to Bits on the Wire
- GovSecLLM++: A Compliance-Aware Benchmark for Security Testing and Governance Evidence in LLM-Based Applications
- Knowledge-Graph-Constrained LLM Generation of SIEM Detection Rules
- Benchmarking Detection Engineering Improvements through Instrumented Adversary Emulation
- Monolithic versus Disaggregated 5G-RAN Open Systems
- Energy-Efficient Adaptive Zero Trust Security for Automotive CAN Networks
- Proceedings of the 2026 IEEE 12th International Conference on Network Softwarization (NetSoft)
- Predictive maintenance for a hydraulic system on a vehicle using LSTM-based autoencoder
- TinyContainer: Container Runtime Middleware Enabling Multi-tenant Microcontrollers with Built-in Security
- ARISE: Unified Online Traffic Analyzer and Scheduling Engine in 5G Open-RAN
- AIForwarder: Multi-Objective AI Inference Serving at the Edge with Dynamic Model Activation
- Optimal Data Pipelining for in-Network Learning
- Multi-Resource Explicit Congestion Notification
- Dependency-Aware Dominant Resource Fairness for Multi-Tenant Multi-Resource Systems
- treVM: Tiny Rust Embedded Virtual Machines with WASM on Variable Resource-Constrained Hardware
- LLM Signaling for Agentic 6G Network Services
- Carrier Priority Control for Energy-Efficient Multi-Band Networks: A DRL-Based Approach
- Optimal Load Balancing in Federated Locator/ID Separation Protocol (LISP) Traffic Engineering
- Energy-Efficient Antenna Muting in Massive MIMO Networks Using Deep Reinforcement Learning
- Energy-Efficient Uplink-Downlink Decoupling for 6G TN-NTN Multi-Connectivity
- Theoretical Analysis and Adaptive Optimization of Random Access for VDE-SAT Systems
