Investigador(a) Postdoc - Cybersecurity and Machine Learning

Tasks

• Build functional cybersecurity prototype in operational environment
• Design machine learning models for cybersecurity threat detection
• Develop deep learning models for network attack detection
• Evaluate model performance using evaluation frameworks
• Integrate network security tools into machine learning pipelines
• Perform feature engineering for security datasets
• Process network data using preprocessing pipelines
• Publish research findings in journals and conferences

Perks/Benefits

• N/A

Skills/Tech-stack

Attack Vector | Botnet Detection | Caldera | Cybersecurity | Data Preprocessing | Deep learning | Feature Engineering | Generative AI | Intrusion Detection | Machine Learning | Malware Detection | Model Evaluation | Netflow | Network Data | PCAP | PyTorch | Python | Ransomware detection | Scikit-learn | Snort | Supervised Learning | Suricata | TensorFlow | Threat modeling | Unsupervised Learning | Wireshark | Zeek