Phd Student: Security for Machine Learning F/m
il y a 2 semaines
**We help the world run better**
**What you'll do**
Our research project aims to develop novel approaches to safeguard the intellectual property of ML-based software and protect associated data using cutting-edge machine learning and security technologies. As a PhD researcher in our team, you will have the opportunity to study existing methods for secure machine learning engineering and contribute to the development of innovative solutions that can address the challenges faced by businesses today.
Through this research, you will gain valuable experience and skills in the field of machine learning and security. You will work alongside a team of experts in a collaborative and supportive environment, receive guidance and mentorship from experienced researchers, and have access to state-of-the-art tools and resources to drive your research forward.
**What you bring**
- University Level: MSc (top 10% performer in university will be favored) or engineering degree
- Excellent programming skills (C/C++, Java, JavaScript, Python)
- Experience in modern software development tools (Git, Docker, Debuggers)
- Good skills in AI (Reinforcement Learning, Graph Convolutional Network, Deep Neural Network)
- Knowledge of data privacy, computer security and/or big data processing
- Fluency in English (working language).
- Knowledge of French, German or other language is a plus but not a prerequisite
- Excellent oral and written communication skills
- Willingness to travel (mainly in Europe)
- PhD contract of 3 years
- Start date: as soon as possible
- ** Before applying, please make sure that you meet the eligibility criteria for PhD**
**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**
**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.
**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: 368779 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid.
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