Jobangebot connecticum Job-1778631

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

ZEISS

Jobdatum: 22. Oktober 2024

Einstiegsart: Studentenjobs
Einsatzort: München; Bayern
Arbeitgeber: Carl Zeiss AG
Jobdetails Bewerbungsformular

Info zum Arbeitgeber

ZEISS

Optische und optoelektronische Industrie

Firmensprache

Deutsch, Englisch

Gründungsjahr

1846

Mitarbeiter

10.001 - 50.000

Branche

Elektrotechnik

Kontakt

Carl Zeiss AG
Talent Attraction
Carl Zeiss Straße 22
73446 Oberkochen

Tel.: 07364 / 20 - 82 71
Mail: karriere@zeiss.de

Alle vakanten Positionen finden Sie unter www.zeiss.de/karriere
Wir freuen uns auf Ihre Bewerbung!

Homepage
www.zeiss.de

Karriere-Website
www.zeiss.de/karriere

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

#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

Info zum Arbeitgeber

ZEISS

Optische und optoelektronische Industrie

Firmensprache

Deutsch, Englisch

Gründungsjahr

1846

Mitarbeiter

10.001 - 50.000

Branche

Elektrotechnik

Kontakt

Carl Zeiss AG
Talent Attraction
Carl Zeiss Straße 22
73446 Oberkochen

Tel.: 07364 / 20 - 82 71
Mail: karriere@zeiss.de

Alle vakanten Positionen finden Sie unter www.zeiss.de/karriere
Wir freuen uns auf Ihre Bewerbung!

Homepage
www.zeiss.de

Karriere-Website
www.zeiss.de/karriere

Info zur Bewerbung
Jobtitel:

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

Jobkennzeichen:
connecticum Job-1778631
Bereiche:
Ingenieure
Ingenieurwissenschaften: Ingenieurwesen, allg.
Einsatzort: München; Bayern
Jobdetails Bewerbungsformular

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