Research Fellow

**Job Description**
The Research Fellow will conduct advanced research in secure multi-party computation with applications to privacy-preserving machine learning. This role involves developing scalable multi-party computation frameworks, designing efficient privacy-enhancing protocols for machine learning systems, and collaborating with interdisciplinary teams to align research with best practices in AI deployment. The position also requires publishing findings in top-tier conferences and journals to contribute to the security and AI research community.

**Skills & Abilities**
• Proficiency in programming languages such as C/C++ and Python.
• Independent, highly analytical, proactive and a team player.
• Excellent teamwork and verbal, written communication skills.
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new techniques, frameworks, and protocols.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Ability and willingness to work some flexible hours.

**Qualifications**
Required Degree(s) in:
• Computer Engineering
• Computer Science
• Electronics Engineering
• Equivalent

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