Job Purpose
To contribute / make a leading contribution to the EU project “d AIEDGE: A network of excellence for distributed, trustworthy, efficient and scalable AI at the Edge” working with Dr José Cano and different academic/industrial partners from the consortium to achieve the following objectives:
- Contribute to design energy efficient hardware accelerators and associated software: 1) specialised/novel hardware accelerators based on FPGAs that optimise latency and energy; 2) software support for specialised/novel hardware accelerators.
- Contribute to create a dedicated Machine Learning compilation stack: leveraging compiler infrastructures (MLIR, LLVM) and/or AI/tensor compilers (e.g. Apache TVM, TACO, IREE), and including platform specific auto-tuning.
- Contribute to develop secure AI at the edge: 1) security and resiliency mechanisms at the software/hardware level; 2) adaptive security to edge infrastructures.
The successful candidate will be part of the Glasgow Intelligent Computing Laboratory (gic LAB) within the Systems Research Section (GLASS) in the School of Computing Science, and will be expected to contribute to the formulation and submission of research publications, project progress reports and research proposals as well as help manage and direct this complex and challenging project as opportunities allow.
Main Duties and Responsibilities
Perform the following activities in conjunction with and under the guidance of the Principal Investigator:
1. Plan and conduct assigned research individually or jointly in accordance with the project deliverables and project/group/School/College research strategy.
2. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate.
3. Develop and enhance your research profile and reputation and that of The University of Glasgow/ School of Computing Science/ gic LAB, including contributing to publications of international quality in high profile/quality refereed journals, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem.
4. Contribute to the presentation of work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile.
5. Contribute to the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies to support future research.
6. Collaborate with colleagues and participate in team/group meetings/seminars/workshops across the research Group/School/College/University and wider community.
7. Contribute to the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development.
8. Perform administrative tasks related to the activities of the research group and School, including Budgets/Expenditure.
9. Carry out modest Teaching activities (e.g demonstrating etc) and associated admin as assigned by the Head of School and in consultation with Principal Investigator.
10. Keep up to date with current knowledge and recent advances in the field/discipline.
11. Engage in continuing professional development activities as appropriate.
12. Undertake any other duties of equivalent standing as assigned by the Head of School/Director of Research Institute.
13. Contribute to the enhancement of the University’s international profile in line with the University’s Strategic Plan, World Changers Together.
For appointment at Grade 7:
14. Perform the above duties with a higher degree of independence, leadership and responsibility, particularly in relation to planning, funding, collaborating and publishing research, and mentoring colleagues.
15 Establish and sustain a track record of independent and joint published research to establish and maintain your expert reputation in the subject area.
16. Survey the research literature and environment, understand the research challenges associated with the project & subject area, & develop/implement a suitable research strategy.
Knowledge, Qualifications, Skills and Experience
Knowledge & Qualifications
Essential:
A1 SCQF Level 10 (Honours degree) in a relevant subject (Computer Science, Engineering, Maths/Statistics); or a cognate discipline, or equivalent.
A2 Knowledge of DNN frameworks (Tensor Flow, Py Torch, Keras, ONNX, JAX).
A3 Comprehensive and up-to-date knowledge of hardware accelerators based on FPGAs; and/or compiler infrastructures (MLIR, LLVM) and AI/tensor compilers; and code optimisation.
For appointment at Grade 7:
A4 Normally Scottish Credit and Qualification Framework level 12 (Ph D) or alternatively possess the equivalent in professional qualifications and experience, with experience of personal development in a similar or related role(s).
Desirable:
B1 An awarded (or recently submitted or near completion) Ph D in subject specialism or equivalent.
B2 Familiar with edge computing low power systems including different types of compute cores (e.g., CPUs, GPUs, NPUs, FPGAs, microcontrollers).
B3 Familiar with compiler infrastructures (MLIR, LLVM) and/or AI/tensor compilers (e.g. Apache TVM, TACO, IREE).
B4 Familiar with bottleneck analysis, performance analysis, and library integration.
B5 Familiar with Machine Learning optimisations techniques like pruning, quantisation, distillation, NAS (Neural Architecture Search), HPO (Hyperparameter Optimisation), etc.
B6 Familiar with AI/hardware security: adversarial attacks, GANs (Generative Adversarial Networks), etc.
Knowledge and Skills
Essential:
C1 Good programming skills in C/C++, Python.
C2 Research creativity and cross-discipline collaborative ability as appropriate.
C3 Excellent communication skills (oral and written), including public presentations and ability to communicate complex data/concepts clearly and concisely.
C4 Excellent interpersonal skills including team working and a collegiate approach.
C5 Appropriate workload/time/project/budget/people management skills
C6 Extensive IT and data analysis/interpretation skills as appropriate.
C7 Self-motivation, initiative and independent thought/working.
C8 Problem solving skills including a flexible and pragmatic approach.
Experience
Essential:
E1 Sufficient relevant research experience (or equivalent) appropriate to an early career researcher.
E3 Experience of conducting systematic reviews in relevant area.
E4 Experience of scientific writing.
E5 Proven ability to deliver quality outputs in a timely and efficient manner.
E6 Evidence of an emerging track record of publications in a relevant field.
For appointment at Grade 7:
E7 Sufficient depth of relevant research experience, including sufficient postdoctoral experience in a related field, appropriate to an early career researcher.
E8 A track record of presentation and publication of research results in quality journals/conferences.
E9 Experience of making a leading contribution in academic activities.
E10 Ability to demonstrate a degree of independence as illustrated by identification of project objectives from assessment of the literature, design & analysis of experiments & drafting of papers.
E11 Experience in undertaking independent research.
Desirable:
F1 An emerging national or international reputation.
F2 Evidence of interdisciplinary collaborative ability.
Closing date: 4 October 2024
Terms and Conditions
Salary will be Grade 6/7, £33,232 - £36,924 / £40,247 - £45,163 per annum.
This post is full time, and has funding for up to 22 months
The University of Glasgow has a responsibility to ensure that all employees are eligible to live and work in the UK. If you require a Skilled Worker visa to work in the UK, you will be required to meet the eligibility requirements of the visa route to be assigned a Certificate of Sponsorship.
Please note that this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa
As part of Team Uof G you will be a member of a world changing, inclusive community, which values ambition, excellence, integrity and curiosity.
The University of Glasgow has a responsibility to ensure that all employees are eligible to live and work in the UK. If you require a Skilled Worker visa to work in the UK, you will be required to meet the eligibility requirements of the visa route to be assigned a Certificate of Sponsorship.
Please note that this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa.
As a valued member of our team, you can expect:
1 A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared.
2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages.
3 A flexible approach to working.
4 A commitment to support your health and wellbeing, including a free 6-month Uof G Sport membership for all new staff joining the University https://www.gla.ac.uk/myglasgow/staff/healthwellbeing/.
We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community https://www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/.
We endorse the principles of Athena Swan https://www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/athenaswan/ and hold bronze, silver and gold awards across the University.
We are investing in our organisation, and we will invest in you too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information.