Phd Cifre: Advancing Ai Ethics with Fairness and Explainability
il y a 2 semaines
**What we offer**
**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.
**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**:Cifre_english_2024.pdf**
**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**
**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.
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.
Requisition ID:410989 | Work Area: Software-Research | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time |
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