Working Student for Generative AI in Security (f/m/x) Part-time

#ZEISS #SeeingBeyond #ZEISSDigitalInnovation #teamZEISS

With considerable expertise in the high-tech sector and agile working methods, ZEISS Digital Innovation as part of the ZEISS group develops tailored digital and software solutions that shape markets. We bring together our own expertise in software engineering with knowledge from the ZEISS Medical Technology, Measuring Technology and Semiconductor segments and mutually incorporate this into our projects. In addition to developing, we operate software solutions in compliance with high security and quality standards, such as in the highly regulated health environment. – ZEISS Digital Innovation

Your Role at ZEISS Digital Innovation

AI is rapidly transforming cybersecurity. AI technologies are becoming essential in automating processes, enhancing practices, and providing more effective defenses.

In your role as a working student, you will support our team to leverage Generative AI solutions to improve our Application Security practices. This is an exciting opportunity to be at the forefront of AI for security, gaining hands-on experience with cutting-edge AI technologies while contributing to making applications more secure for all users.

You will work on:

• Collaborate with the cybersecurity team to integrate LLM-based tools into the threat modeling workflow
• Assist in the development and optimization of AI-based solutions that identify and categorize potential security risks
• Create documentations and templates

You can work with us for up to 20 hours per week alongside your studies during your lecture time – flexible and adapted to your semester planning. Over the course of our collaboration and if it aligns well with your studies, there is the prospective opportunity to write your final thesis on the topic.

Your Profile

Are you interested in future-oriented technologies and excited about (Gen)AI solutions? Then our team is looking forward to meeting you!

Furthermore, you have the following profile:

• Currently pursuing a Master’s degree or nearing the completion of a Bachelor’s degree with a significant emphasis in the field of Machine Learning
• Python skills are necessary, as is knowledge of Machine Learning
• A passion for AI, security and innovation
• Self-initiative as well as a solution-oriented and structured way of working
• Safe command of the English language (working language will be English)

We invite you to join #teamZEISS and help shape the future with us!

Your ZEISS Recruiting Team:
Anne-Maria Pilz, Sybille Lerche-Schlenkrich