LLM-Safety Research Intern

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profile Job Location:

Singapore - Singapore

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

IN-CYPHER Imperial College Londons flagship research program in Singapore advances security privacy and trust in healthcarefrom implantables and wearables to hospital networks and clinical workflows. This internship will be about evaluating LLM jailbreak transferability and defence robustness in high-stakes healthcare contexts.

Key Responsibilities:

  • Tests jailbreak transferability across major LLM APIs
  • Quantifies defense robustness under healthcare-specific threat models
  • Benchmarks both general-purpose and medical LLMs
  • Surfaces insights for IN-CYPHER-aligned deployment guidelines

Minimum Requirements:

  • Currently enrolled in an undergraduate program in Computer Science/Engineering.
  • Experience with LLMs/NLP and/or AI security (e.g. privacy robustness)
  • Python (requests/asyncio logging) Deep learning frameworks (e.g. PyTorch) pandas Git Docker
  • Experience with web APIs experiment hygiene
  • Reading and familiarity with ML safety papers adversarial prompting LLM APIs
  • Clear technical writing repo reproducibility standards

Stipend: $1500 per month.

Duration: 69 months

Informal enquiries are greatly welcome and can be directed to Dr Viktor Schlegel

Questions about the recruitment process should go to the HR at Imperial Global Singapore


Required Experience:

Intern

IN-CYPHER Imperial College Londons flagship research program in Singapore advances security privacy and trust in healthcarefrom implantables and wearables to hospital networks and clinical workflows. This internship will be about evaluating LLM jailbreak transferability and defence robustness in hig...
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Key Skills

  • Robotics
  • Machine Learning
  • Python
  • AI
  • C/C++
  • Data Collection
  • Research Experience
  • Signal Processing
  • Natural Language Processing
  • Computer Vision
  • Deep Learning
  • Tensorflow