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Job Description
Job Title: Offensive Security Data Generation
Nvidia CSIT Cyber-AI hub intern in offensive security data generation (up to a maximum of 15 hours per week for 20 weeks)
The successful candidate will be working as an intern with the Nvidia CSIT Cyber-AI Hub project team on generating datasets for ML training purposes, primarily in the context of early-stage intrusion in enterprise networks.
The candidate will also contribute to developing a networking testbed and assist in implementing different automated intrusion scenarios.
Another main responsibility of the intern is to assist the team to organize internal and external Capture-the-Flag event and manage the generated data for research purposes. It also includes assisting the project team to create a data labelling mechanism while generating attack data for ML/AI training purposes.
Qualifications
Degree in Computer Science, Cyber security or in a relevant field.
Have, or be about to obtain a cyber security related postgraduate degree.
Skills
Essential criteria:
Advanced knowledge on networking and experience of using different network penetration testing tools.
In depth knowledge on cyber security concepts, e.g. Cyber Kill Chain and Defense-in-depth.
Knowledge of the MITRE ATT&CK framework and other threat modelling tools.
Proficient Linux and Windows skills and experience in code management.
Desirable criteria:
Knowledge in Artificial Intelligent/Machine Learning
Experience in organizing events like Hackathons.
Experience in data management for AI training.
Experience in network administration.
Working knowledge of network emulation
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15 hours for preparation, training, and meetings.
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Interviews will take place mid-January.
Qualifications
BA/MA in Linguistics, Psychology or related discipline.
Skills
Essential:
Familiarity and ability to use Microsoft packages (e.g., good Excel command).
Undergraduate level knowledge in linguistics, psychology and/or education research or related field.
Desirable:
Interest in eye-tracking methodologies.
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The research assistant will receive comprehensive training and mentoring to successfully carry out these responsibilities.
Interviews will take place mid-January.
Qualifications
BA/MA in Linguistics, Education, Psychology or related discipline.
Skills
Essential:
Familiarity and ability to use Microsoft packages (e.g., good Excel command)
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Experience working with children
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Qualifications
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Skills
Essential:
Knowledge of research into gender inequality in STEM education.
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Desirable:
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