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Job Overview
Research Fellow, Privacy Preserving Synthetic Data
Job Description
We are looking for a Research Fellow who will be responsible working on a project on for developing privacy preserving synthetic data.
Responsibilities:
- Design and develop Generative Adversarial Network based techniques for generating synthetic data;
- Perform analysis and simulations to validate designs;
- Assists with the editing and preparation of manuscripts, reports and presentations;
- Participate in presentations and demos for exhibiting work at appropriate events;
Qualifications
- PhD in Electrical Engineering, Computer Science or a related field;
- Programming experience and knowledge of machine learning would be a plus;
- Possesses research background with ability to read and understand methodologies in research papers;
- Fluent in English language communication and good team-player;
- Open to fixed term contract.
Job Detail
- Offered SalaryNot Specified
- Career LevelNot Specified
- ExperienceNot Specified
- GenderBoth
- INDUSTRYEducation
- QualificationDoctorate Degree (Ph.D.)