Gain Practical Experience in Data Analysis and Research Security

We are looking for an interdisciplinary student team for a unique project where you will critically review cyber attack data and develop effective prompts for advanced MLL tools. Contribute to research security and the technology of the future.

ABOUT THE POSITION

As part of this interdisciplinary student team, you will work to strengthen research security. The role involves critically reviewing complex data and developing innovative solutions using advanced AI tools, in a collaboration that is based on both independent work and effective teamwork. You will directly contribute to securing important information in a changing digital world.

What We Offer

We offer you a unique opportunity to gain practical experience working on real projects in a current and important field. You will be part of a larger interdisciplinary project in research security and have the chance to apply your knowledge in a dynamic environment, providing valuable experience for your future career.

JOB RESPONSIBILITIES

Responsibilities

This assignment aims to enhance research security by reviewing and verifying data on cyber attacks and developing advanced prompts for MLL tools for information retrieval. The team will work on transforming raw data into structured and usable information to contribute to a larger interdisciplinary project.

Critically review and verify data from open sources regarding cyber attacks that various organizations globally have been subjected to
Develop effective prompts for commercial MLL tools (e.g., GPT-5 in Copilot)
Search for and structure information on the web about specific organizations using developed prompts

WE ARE LOOKING FOR YOU WHO

Are a student and can work 8 hours/week for about 6 months
Enjoy switching between focused independent work and effective teamwork
Have good accuracy and reliability
Possess very good English skills, both spoken and written
Technical/Natural Science: You are studying a field with a strong analytical focus, such as computer science, information systems, or equivalent
Social Science/Economics: You are studying political science, economics, international relations, or equivalent

It is a plus if you have

Previous experience working with AI models (e.g., MLL) or programming
Knowledge of other languages besides English

To succeed in the role, you have the following personal qualities:

Helpful
Organized
Stable
Responsible
Intellectually curious

Our Recruitment Process

This recruitment process is handled by Academic Work, and our client's request is that all questions regarding the position be sent to Academic Work.

We apply ongoing selection and will remove the ad when enough candidates have reached the final stages of the recruitment process. When applying, a CV is requested. A cover letter is not used as a selection method and therefore does not need to be attached. As a candidate, you bear the main responsibility for ensuring that your application is complete when submitted. The recruitment process includes two selection tests: a personality test and a cognitive ability test. The tests are a tool to find the candidate with the highest potential for the position and to promote equality, diversity, and a fair recruitment process.

For our part-time positions, you as an applicant need another main occupation of at least 50%. Examples of this include studies, other employment, self-employment, parental leave, or similar.