Type:
Internship
Location:
Amsterdam
Education:
Associate degree (EQF 5), Bachelor (EQF 6), Master (EQF 7)
Published:
12/04/2024
Status:
Open
Apply before:
01/06/2024
Hours p/wk:
40
More information

Description:

 

As a student, you have

Education:

  • Currently enrolled in a relevant degree program (Computer Science, Cybersecurity, or a related field).

Technical skills:

  • Strong programming skills, preferably in Python;
  • Familiarity with natural language processing (NLP) and machine learning concepts.

Soft skills:

  • Passion for cybersecurity and a strong interest in security awareness.
  • Good communication skills;
  • Organized;
  • Clear documentation writing skills.

The project you will be working on:

Secura is seeking a talented and motivated intern to join our Behavior team and contribute to the development of a Security Awareness GPT (Generative Pre-trained Transformer). This internship offers a unique opportunity to work on the forefront of cybersecurity, combining advanced language modeling with security awareness initiatives.

As an intern, you will be responsible for the following:

  • Conduct in-depth research on current cybersecurity threats, trends, and best practices in security awareness. Analyze existing GPT models and frameworks relevant to cybersecurity;
  • Collaborate with our team of behavior experts to design, develop, and implement a Security Awareness GPT model tailored to the unique needs of Secura's clients. This involves training the model on a diverse set of security-related data;
  • Create engaging and informative content using the developed GPT model for various security awareness materials. This may include blog posts, social media content, training modules, and more;
  • Work closely with the technical team to integrate the developed GPT model into Secura's existing security awareness platforms. Conduct thorough testing to ensure seamless functionality and accuracy;
  • Prepare comprehensive documentation for the developed GPT model, including training methodologies, data sources, and usage guidelines.