PhD CIFRE: Advancing AI Ethics with Fairness and Explainability - F/M (410989)
PhD CIFRE: Advancing AI Ethics with Fairness and Explainability - F/M (410989)
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Job Description
What we offer
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 youll do
Are you passionate about advancing responsible AI ith AI evolving at an unprecedented pace addressing the associated risks is more critical than ever especially those stemming from bias and discrimination. These challenges not only compromise fairness but can also hinder system performance. Explainability techniques provide essential insights by revealing hidden biases in decision-making laying the groundwork for effective interventions. This PhD position offers you the opportunity to tackle these challenges head-on ensuring that AI systems operate reliably and equitably. In this role you will:
Develop advanced bias assessment techniques that leverage explainability to identify and understand bias sources.
Design innovative methods that integrate explainability tools to measure bias throughout AI deployment and support targeted mitigation.
Combine explainability and fairness metrics to generate actionable data-driven insights for refining AI decision-making.
Collaborate with experts in machine learning and responsible AI leveraging state-of-the-art resources to bridge research with industry applications.
What you bring
Graduate in MSc or Engineering degree in Data Science Machine Learning or a related field.
Familiarity with model interpretability causal inference or counterfactual reasoning.
Previous experience in AI explainability/fairness is advantageous.
Demonstrated expertise in machine/deep learning.
Proficiency in research methodologies: literature review experimental design and data analysis.
Excellent Python programming skills experience with deep learning frameworks (e.g. PyTorch TensorFlow Scikit-Learn).
Knowledge of version control and containerization tools (e.g. Git Docker).
Strong analytical skills creativity passion for addressing societal challenges of AI.
Fluent in English (wokring language) excellent written/verbal communication.
Contract: CIFRE
Duration: 3 years
Start date: as soon as possible
Remuneration:according to the conditions fixed by the French Minister of Higher Education and Research
Before applying please check that you meet the requirements for CIFRE here:
Meet your team
Be part of the AI Ethics Operationalization team which is situated in the SAP Business AI unit. In close collaboration with experts and teams across SAP we translate the AI Ethics principles and requirements as outlined in the AI Ethics Policy into hands-on guidance for teams developing AI systems at SAP that are compliant with responsible AI and AI ethics requirements.
We are SAP
SAP innovations help more than 400000 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 100000 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.
Our inclusion promise
SAPs 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: Americas:or APJ: EMEA:.
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:410989 Work Area: Software-Research Expected Travel: 0 - 10% Career Status: Student Employment Type: Limited Full Time Additional Locations:
Employment Type
Full-Time
