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...
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
View more
View less