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Cisco Machine Learning Researcher Intern Czechia, Prague, Prague 823265794
27.01.2025
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Application Deadline: 2025-04-30
20 hour per week
Possible Projects you could work on:
Similarity Search on Sequence of Endpoint Security Events– Each monitored device in a computer network outputs streams of cybersecurity events. This project focuses on finding common patterns in these streams to identify similarly behaving devices using similarity search techniques. The data stream is segmented into sequences of related events, which are then represented in an embedding space to identify similar sequences.
Advance Command Line Preprocessing– Building a robust system to correlate individual cybersecurity events into incidents requires understanding the activity on impacted devices rather than just matching parameters. This project focuses on understanding and normalizing command lines leading to cybersecurity events. Command lines often contain specific parameters like usernames, hashes, or random strings that obscure their functionality. Removing or masking these values can help uncover similar patterns across different devices or environments, providing robust similarity measures between cybersecurity events.
– Cybersecurity investigations often rely on relationships between entities like IP addresses, URLs, email addresses, documents, binaries, and internet users. This project examines how to use these relationships for automated threat identification or to support human analysts, like how police use notice boards with photos and wires. The primary focus is on expressing relationship data as massive graphs, with additional interest in incorporating tabular, language, and unstructured data.
What you’ll do:
- Assist in inventing, designing, developing, and evaluating innovative models on large-scale data.
- Support the design and implementation of scalable, efficient, automated Machine Learning pipelines.
- Contribute to innovation projects from idea to implementation under guidance.
- Collaborate closely with software engineering teams and customers to understand project requirements.
- Be eager to learn about cybersecurity data analytics and related tools.
- Help communicate results through internal reports, blogs, and assist in preparing for scientific papers and conference presentations.
Minimum Requirements:
- Currently pursuing a degree in Computer Science, Data Science, Machine learning, or a related field
- Proficient in English
Preferred Requirements:
- Basic understanding or coursework in software engineering is a plus.
- Experience with coursework in one or more of the following Machine Learning fields: supervised, semi-supervised, or unsupervised learning, explainability of models, advanced statistics, graph theory, game theory.
- Strong logical reasoning and problem-solving skills.
- Enthusiasm for completing tasks and making projects successful.
- Hands on experience with scikit-learn, Pandas, PyTorch, (py)Spark will boost the start
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