We are looking for a research associate to join an ambitious project in the space of Secure & Privacy-preserving AI Models.
You will enjoy designing, developing and evaluating novel AI models (deep neural networks) that are privacy-preserving and robust against attacks. The project will involve the continuous interaction with experts in explainable AI and formal software verification. You will also have the opportunity to build, use cases and to collaborate with domain experts in areas such as cancer research and energy trading. You will design, develop and evaluate new models in the context of their accuracy, privacy-protection and robustness. This position may include research on a diverse set of techniques such as federated learning, homomorphic encryption, multiparty computation and adversarial methods. The post is initially for one year, with the possibility for extensions. Interviews are anticipated to take place a week after the closing date.
You should have a PhD in Computer Science or a closely related field together with a track record of international publications in applied machine learning or secure computation. Examples of fields of interests are:
- Federated Learning
- Homomorphic Encryption
- Secure Multiparty Computation
- Differential Privacy
- Safety Mechanisms in AI Systems
- Adversarial Methods
The Department is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The Department holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. All appointments will be made on merit. For further information, please visit:
Our University is positive about flexible working – you can find out more here
Blended working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Enquiries about the vacancy, shortlisting and interviews:
Name: Mustafa Mustafa
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.