|Salary:||£33,199 to £39,609 per annum|
|Placed On:||7th December 2018|
|Closes:||11th January 2019|
A research associate position for 30 months is available on the University Defence Research Collaboration (UDRC) phase 3 project jointly funded by EPSRC and UK Ministry of Defence. This position will contribute to the UDRC3 under work package 3.1 at the University of Edinburgh (UoE). The candidate will join a dynamic, international team and will have the opportunity to participate in this exciting multi-site project.
This position provides a unique opportunity to work on Robust Generative Neural Networks and develop novel techniques for anomaly detection on the basis of generative deep learning models.
The aim is to design generative models, e.g., Generative Adversarial Networks (GANs) or Variational Autoencoders, that are interpretable and operate on multi-modal data. Of particular interest are models that can detect anomalies in multimodal data. Challenges that the researcher will address include how to incorporate prior information into the design of the models, make the learning process robust to outliers, and how to deal with time-varying distributions.
We are looking for an enthusiastic and strongly motivated researcher to join us and build upon our efforts of bridging deep learning and signal processing. Candidates should hold a PhD in electrical engineering, computer science or related discipline. A good record of international publications demonstrating prior experience in machine learning, especially in deep neural networks, and signal processing are required. The candidate should have good programming skills, a strong mathematical background, good communication skills and the ability to work within a team.
Salary: £33,199 - £39,609 per annum
Vacancy Ref: 046226
Closing Date: 11-JAN-2019 at 5pm GMT
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The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.
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