PhD Student - AI Data privacy
Berlin, DE, 10557
SAP
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What you’ll do
- As a PhD student (f/m/d) you will work with a team of experienced researchers and data scientists working on Foundation Models for structured business data
- You will have the chance to work with some of the richest data sets available in the world addressing real-world problems
- The focus is on Privacy in Foundation Models on Structured Data
- Design and evaluate experiments to assess and advance Data Privacy such as Inference Attacks aiming to extract information from Training Data
- Contribute to research that can be applied to SAP product development with potential for publication and broader impact in the privacy and machine learning community
What you bring
- You are a PhD student (f/m/d) at least in your second year or PostDocs, ideally specializing in research in one of the following areas: Foundation Models on Structured Data or Privacy-preserving Machine Learning
- Experience with a strong foundation in machine learning, including building systems utilizing deep learning, LLMs, Foundation Models
- Proficient in PyTorch, Python, and HuggingFace Transformers, with a good understanding of statistical analysis and shell programming
- A plus is having a strong publication record in recognized ML/NLP conferences or journals such as ACL, EMNLP, ICLR, ICML, NeurIPS
- Must be fluent in English
- The duration of the internship is at least 4 months but ideally 6 months and should take place in the first half of 2026
Meet your team
SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Leveraging the cutting-edge developments in AI research along with SAP’s unparalleled enterprise data assets offers a distinctive opportunity to explore an uncharted domain within AI research. As a vital part of this organization, our team is dedicated to pioneering transformative advancements in high-value domains, including Foundation Models for structured data and the development of comprehensive grounding for widespread SAP applications through Knowledge Graphs
Please keep in mind that the hiring for PhD candidates at SAP demands a previous approval by the university as well as the supervising professor.
Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.
#PhD #Doktorand #Germany #Deutschland #Student #SAPBusinessAICareers
Bring out your best
SAP innovations help more than four hundred thousand 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 two hundred million users and more than one hundred thousand 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, you can bring out your best.
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.
Requisition ID: 410404 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Deep Learning EMNLP HuggingFace ICLR ICML LLMs Machine Learning NeurIPS NLP PhD Privacy Python PyTorch Research Statistics Transformers
Perks/benefits: Career development Conferences Flex hours
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