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Senior Research Associates in Machine Learning and Systems Security

School of Computing and Communications
Salary:   £34,804 to £40,322
Closing Date:   Monday 05 July 2021
Interview Date:   To be confirmed
Reference:  A3230-R

We are seeking a Research Associate/Senior Research Associate to join our team as part of the £3M EPSRC TAS Security node (TAS-S) at Lancaster University. This position is open to both UK-based and international applicants. 

We are seeking candidates with research interests and expertise in one or more of the following areas: distributed systems, security, Machine Learning (ML). This position offers a suitable degree of freedom on research project directions within the systems domain, including but not limited to distributed threat modelling, security risk assessment of ML, and secure ML computing systems. Experience or familiarity in the following technologies is desired, but not essential: Tensorflow, PyTorch, TVM, Kubernetes, KubeFlow, CUDA, NVML, SGX, TrustZone. 

This position offers an excellent opportunity to explore blue sky and applied research, as well as collaborate with a multi-disciplinary group of investigators in accomplishing cutting-edge research in systems security. The role will encompass: 

  • Pursuit of research within the areas of systems, security, and ML.
  • Research engagement with the project’s internal and external stakeholders.
  • Participation in project workshops, seminars, dissemination and outreach events. 
  • Support on reports, presentations, and research proposals. 
  • Supervision of the PhD positions provided to support the candidate’s research.

 You will join us on an indefinite contract however, the role remains contingent on external funding which, at this time is for 18 months. 

This is a full-time position, expected to start on/after September 1, 2021. 

This is a highly exciting and rewarding role within a research area of high academic and industrial interest for applicants looking to develop their research career, and in playing a key part in a major research effort focused on the future of secure and trustworthy distributed systems. Further details of responsibilities are available in the job description. 

Applicants are strongly encouraged to contact Professor Neeraj Suri (neeraj.suri@lancaster.ac.uk) and Dr Peter Garraghan (p.garraghan@lancaster.ac.uk) for informal enquiries.

 

Lancaster University is a top-10 UK University. The School of Computing and Communications in which TAS-S is based was ranked 7th in the UK in terms of “world-leading and internationally excellent” research by the UK government’s REF2014 evaluation. Lancaster University is TEF Gold, Times/Sunday Times University of the Year (2018) and Times/Sunday Times International University of the Year (2020). The EPSRC TAS security node which you would be joining is strongly supported by a range of UK, EU and international academic, industry and policy partners including Carnegie Mellon University, Airbus, BAE, Raytheon, Thales, NATO, CODE, AIT, TTTech, Academia Sinica, Arthurs Legal, RISE, and the UK Coast Guard. 

We are committed to family-friendly and flexible working policies on an individual basis, as well as the Athena SWAN Charter, which recognises and celebrates good employment practice undertaken to address gender equality in higher education and research. We welcome applications from people in all diversity groups. 

Further information on Security Lancaster can be at: (https://www.lancaster.ac.uk/security-lancaster/). International applicants are typically required to demonstrate English competency via the IELTS testing or NARIC compliance.

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Further details:

The University provides an environment that strongly supports the individual needs of each employee, whilst promoting the importance of wellbeing for all our colleagues. We have a range of support networks available for our employees, and more information on these can be found on the ‘Working at Lancaster’ information page.

 

We are committed to family-friendly and flexible working policies on an individual basis. The University recognises and celebrates good employment practice undertaken to address all inequality in higher education.

 

We warmly welcome applicants from all sections of the community regardless of their age, religion, gender identity or expression, race, disability or sexual orientation, and are committed to promoting diversity, and equality of opportunity.


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