Parttime Student Intern

Part-Time Student Intern Position: Research in GenAI Security and Trust

Tel Aviv - Israel

Are you someone who enjoys using your research mindset to explore and innovate? Do you want to shape your world and change the way it works? Do you want to collaborate with committed people and achieve results together to develop truly human centric innovation? Are you someone who is interested in creating innovative solutions using core techniques to solve real market problems? If this is your world, here is an opportunity to shape it for the better.

We are looking for a Student Research Intern within the Generative AI Trust group. The role is intended for MSc or PhD students with a strong interest in artificial intelligence, generative AI, and cybersecurity, and at least one year remaining in their academic program.

Interns will contribute to short-term, well-defined research projects that are independently manageable. Candidates should possess foundational knowledge in areas such as AI, GenAI, LLM-based AI agents, AI trust, and AI security. Each intern will be guided by an experienced researcher who will provide mentorship, help prioritize tasks, and ensure project milestones are met. Project scope, objectives, and key performance indicators (KPIs) will be clearly outlined and shared.

Targeted Education Level:

MSc or PhD students at any stage of the degree with at least one year remaining.

Internship Duration:

The internship timeframe is 12 months, and its continuation is flexible (with the possibility of contract renewal every 6 months).

Work Schedule:

Flexible - full-time or part-time (minimum 40%), depending on academic commitments.

Hybrid (two days per week from the Tel-Aviv office).

Responsibilities:

• Assist in developing AI models, LLM-based agents, and algorithms for AI security applications.
• Conduct research at all stages – literature review, method design, implementation, and evaluation.
• Collect, preprocess, and analyze data to evaluate system performance.
• Document experimental setups, procedures, and results.
• Present findings in team meetings and contribute to discussions.
• Prepare reports, presentations, and contribute to academic papers and patents.

Qualifications:

• Currently enrolled in a MSc or PhD program in Computer Science, Artificial Intelligence, Cybersecurity, Data Science, or any other related field.
• Prior experience publishing or contributing to at least one academic paper (published paper in an A* venue – an advantage).
• Proficiency in Python.
• Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with agentic AI frameworks (e.g., LangGraph, CrewAI) - advantage.
• Experience with GenAI models (e.g., GPT, Claude, LLaMA) or LLM fine-tuning techniques – advantage.
• Basic understanding of cybersecurity principles and practices – advantage.
• Strong analytical and problem-solving skills.
• Enabler and can-do attitude – a must.
• Excellent written and verbal communication skills in English.

Achieve together

We want the best people on our team, so we welcome and encourage applications from people with a diverse variety of experiences, backgrounds and identities. The role may demand some flexibility to meet business needs, within a culture of respect for professional and private commitments. We are committed to equality of opportunity for all. #Shapeyourworld