PhD: Advancing Ethical AI with Fairness and Explainability – F/M

Overview

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 to ensure ethical and responsible AI technology? Join our research team for an exciting PhD position delving into biases in AI systems, through exploring the intersection of AI fairness and explainability.

As a PhD researcher, you will employ advanced methodologies to assess and intervene in AI systems, promoting fairness and transparency. Using established AI explainability…… techniques, you will define novel fairness notions that will help uncover biases and identify its sources, interpret decision-making, and provide valuable insights to stakeholders.

Your work will empower them by proposing tools and solutions to understand and mitigate biases, leading to fair AI systems and equitable outcomes.

Throughout this research, you will gain valuable expertise in machine learning and Trustworthy AI, collaborate with experts in a supportive environment, and have access to state-of-the-art resources to drive your research. This is a remarkable opportunity for talented young researchers to make a substantial impact in their field and contribute to a project with practical industrial implications.

Apply for our PhD position to shape a brighter future for AI and drive innovation in Trustworthy AI!

What you bring

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:

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: 376065 | Work Area: Software-Research | Expected Travel: 0 – 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid.

Job Segment:
Cloud, ERP, Data Analyst, SAP, Technology, Data, Research

Company:

SAP

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: France, Industry, Machine Learning, NLP

Company:

SAP

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: France, Industry, Machine Learning, NLP