Research Fellow

Queen's University Belfast

23 Oct 2023
Job Information

Queen’s University Belfast
Research Field
Engineering » Electronic engineering
Engineering » Electrical engineering
Computer science
Researcher Profile
Recognised Researcher (R2)
United Kingdom
Application Deadline
6 Nov 2023 – 12:00 (Europe/London)
Type of Contract
To be defined
Job Status
Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme
Reference Number
Is the Job related to staff position within a Research Infrastructure?

Offer Description

Queen’s University Belfast

Research Fellow

School of Electronics, Electrical Engineering & Computer Science (EEECS)

Ref: 23/111360

Duration: Fixed Term 36 months

Hours: Full-time

Salary: £37,841 – £38,969 per annum

The School of Electronics, Electrical Engineering & Computer Science (EEECS) and the Centre for Secure Information Technologies (CSIT) at Queen’s University Belfast, are currently seeking to appoint to the post of Research Fellow. The successful candidate will be a highly productive, ambitious and collaborative member of an international research team using artificial intelligence and distributed system to privacy-preserving distributed AI models.

We seek a postdoc in AI/Machine Learning to develop federated learning models with neuromorphic architectures, such as spiking neural networks, for robust and privacy-preserving distributed learning. The postdoc will also study threat models, attacks, and defences.

Experience in distributed/federated learning, neuromorphic computing, spiking neural networks, or adversarial learning is a plus. This is a great opportunity to do cutting-edge research at the intersection of trustworthy AI and distributed systems.

This project is funded by CHIST-ERA, an EU scheme, and led by CSIT in collaboration with EPFL (Switzerland), Sorbonne University (France), and TUBITAK (Turkey). This is a great chance for early career researchers to work together and gain international visibility.

The successful candidate must have, and your application should clearly demonstrate you have:

• 2:1 Honours degree in Computer Science/Mathematics/Electrical and Electronic Engineering (or related discipline).

• Obtained or be about to receive a PhD in a relevant subject.

Recent relevant research experience including:

•   High quality research experience in a related field evidenced by a strong track record of publications in leading journals and conferences.

•   Demonstrable programming skills.

•   Demonstrable breadth and depth of specialist knowledge in the discipline and of research methods and techniques to work within established research programmes.

Please note the above are not an exhaustive list.

Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.

Key Dates

Closing Date: 20/11/2023

Anticipated Interview Date: 30/11/2023 and 01/12/2023

Further Information

Information about CSIT can be found at

For information about the project please visit

At Queen’s our people are at the heart of everything we do. As a staff member you will become part of a vibrant organisational culture, which will provide you with the opportunity to achieve your full potential and enhance your career through a continuous focus on learning and development.

Further information on our attractive package can be found at

Queen’s University is committed to promoting equality of opportunity to all. We have created an inclusive culture by establishing staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality.

We also subscribe to Equality Charter Marks such as the Diversity Charter Mark NI in addition to Athena Swan. For further information on our commitment to Equality, Diversity and Inclusion, please visit: ; and

For further information about the role including the essential and desirable criteria please visit or click to Apply.


Research Field
Education Level
PhD or equivalent

Additional Information

Website for additional job details…

Work Location(s)

Number of offers available
Queen’s University Belfast
United Kingdom

Where to apply



Postal Code
BT7 1NN.
[email protected]


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