IBM Research is one of the world’s leading industrial R&D organizations, offering unique opportunities to advance fundamental science and publish in top-tier journals and conferences, while helping to shape new business offerings in cutting-edge scientific and technical areas. Beyond competitive compensation, IBM Research is offering a unique stimulating working environment and the opportunity to collaborate with world-class talent in our 12 global research laboratories as well as our world-wide academic network.
IBM Research is strongly committed to diversity and inclusion and we highly encourage diversity candidates to apply for this role.
For more information about who we are and what we do, please check out our website: https://www.research.ibm.com/labs/europe/
We look forward to hearing from you!
Your Role and Responsibilities
In this role you will advance fundamental science and publish in top-tier journals and conferences, while helping to shape new business offerings in cutting-edge scientific and technical areas.
Required Technical and Professional Expertise
A PhD in Computer Science, Applied Mathematics or a related discipline
An outstanding publication record at top-tier AI, Security & Privacy conferences is essential
Strong Python skills and experience with ML/DL frameworks (scikit learn, TensorFlow, PyTorch etc.)
The proven ability to tackle complex scientific and technical challenges both independently or within a team.
Preferred Technical and Professional Expertise
1-2 years postdoc experience
A strong interest in Adversarial Machine Learning, Differential Privacy or Data Privacy
To apply for this job please visit www.ibm.com.