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PhD CIFRE: Advancing AI Ethics with Fairness and Explainability - F/M Job Opening In Mougins – Now Hiring SAP


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 you'll 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 , 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 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.

    Our inclusion promise

    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: Americas: or , APJ: , EMEA: .

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your PhD CIFRE Potential: Insight & Career Growth Guide


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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at SAP adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying France laws and regulations

    What Is the Average Salary Range for PhD CIFRE: Advancing AI Ethics with Fairness and Explainability F/M Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Mougins. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    Key qualifications for PhD CIFRE: Advancing AI Ethics with Fairness and Explainability F/M typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for PhD CIFRE: Advancing AI Ethics with Fairness and Explainability F/M Job Success

    SAP interview tips for PhD CIFRE: Advancing AI Ethics with Fairness and Explainability   F/M

    Here are some tips to help you prepare for and ace your PhD CIFRE: Advancing AI Ethics with Fairness and Explainability F/M job interview:

    Before the Interview:

    Research: Learn about the SAP's mission, values, products, and the specific job requirements and get further information about

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    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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