Software-Design and Development

PhD Student: Security for Machine Learning F/M

We help the world run better

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.Apply now! 

 

What you'll do

 

Are you interested in pioneering research that could fundamentally change the way machine learning is implemented in various industries? Do you want to tackle the critical security challenges posed by the widespread adoption of machine learning? If so, we invite you to apply for our exciting PhD position in Security for Machine Learning!

 

Our research project aims to develop novel approaches to safeguard the intellectual property of ML-based software and protect associated data using cutting-edge machine learning and security technologies. As a PhD researcher in our team, you will have the opportunity to study existing methods for secure machine learning engineering and contribute to the development of innovative solutions that can address the challenges faced by businesses today.

 

Through this research, you will gain valuable experience and skills in the field of machine learning and security. You will work alongside a team of experts in a collaborative and supportive environment, receive guidance and mentorship from experienced researchers, and have access to state-of-the-art tools and resources to drive your research forward.

 

This is an excellent opportunity for young talent researchers to make a significant impact in their field and contribute to a project with real-world industrial implications. If you are passionate about machine learning and want to work on a cutting-edge research project with the potential of shaping the future of Industry, we encourage you to apply to our PhD position. Join us and help drive innovation in machine learning security!

 

What you bring

 

  • University Level: MSc (top 10% performer in university will be favored) or engineering degree
  • Excellent programming skills (C/C++, Java, JavaScript, Python)
  • Experience in modern software development tools (Git, Docker, Debuggers)
  • Good skills in AI (Reinforcement Learning, Graph Convolutional Network, Deep Neural Network)
  • Knowledge of data privacy, computer security and/or big data processing
  • Fluency in English (working language).
  • Knowledge of French, German or other language is a plus but not a prerequisite
  • Excellent oral and written communication skills
  • Willingness to travel (mainly in Europe)

 

  • PhD contract of 3 years
  • Start date: as soon as possible
  • Before applying, please make sure that you meet the eligibility criteria for PhD

 

Meet your team

 

Security Research Sophia-Antipolis addresses the upcoming security needs, focusing on increased automation of the security life cycle and on providing innovative solutions for the security challenges in networked businesses.

 

 

We build breakthroughs together

SAP innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, we build breakthroughs, together.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 368779  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Student  | Employment Type: Limited Full Time   | Additional Locations: #LI-Hybrid.
 

Requisition ID:  368779
Posted Date:  Feb 3, 2024
Work Area:  Software-Design and Development
Career Status:  Student
Employment Type:  Limited Full Time
Expected Travel:  0 - 10%
Location: 

Mougins Cedex, FR, 06254

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