Research Associate: Ai at The Edge?
1 month ago
**UE07 £37,099 to £44,263 per annum (A revised salary range for this grade of £39,347 to £46,974 is planned to take effect from Spring 2024)**
**CSE, School of Informatics**
**Fixed term to 31/08/2026**
**Full time (35 hours per week)**
**The Opportunity**:
Machine Learning (ML) has a dramatic impact on our daily lives. The explosion in ML, however, is built on the back of the development of computer systems able to train and deploy ever more powerful models.
Systems design fundamentally determines ML performance and capability. This is true for internet-scale ML and artificial intelligence (AI). Yet, more recently, it is especially evident in distributed, device-oriented, specialised and potentially mobile systems. These more distributed “edge” settings provide many important challenges for the development of ML methods - methods must be able to be efficient, robust, online, adaptive, personalised, secure and private. This is the challenge this project addresses.
This post is full-time (35 hours per week) and fixed term (grant ends 31 st August 2026)
**Your skills and attributes for success**:
- PhD (or near completion) or equivalent research experience in artificial intelligence, machine learning methods, machine learning systems or a very related discipline.
- Experience and evidence of effective independent research work within a research team, and contribution to the team effort. Evidence of ability to network and build collaborations.
- Demonstrated quality of research performance, as evidenced by high-quality publications in top-tier machine learning/computer vision venues (e.g., ICML, NeurIPS, ICLR, AISTATS, UAI, AAAI, ACL, EMNLP, ICCV, ECCV, CVPR), and relevant journals (IEEE PAMI, JMLR among others).
- Strong programming skills; experience with Python and deep learning libraries (e.g., PyTorch or TensorFlow).
- Ability to communicate complex information clearly, orally and in writing, in English.
Desirable knowledge, skills, and experience are:
- Substantial previous research component in systems, on-device development, machine learning hardware or edge devices.
- Broad knowledge of machine learning methods beyond modern deep learning methods. Knowledge of classical machine learning approaches and their foundations.
- Understanding of multi-agent systems and game theory.
**Click to view a copy of the full **job description (opens new browser tab)**
**As a valued member of our team you can expect**:
An exciting, positive, creative, challenging and rewarding place to work. We give you support, nurture your talent and reward success. You will benefit from a competitive reward package and a wide range of staff benefits, which includes a generous holiday entitlement, a defined benefits **pension scheme **, **staff discounts, **family friendly initiatives **, flexible working and much more. Access our **staff benefits page **for further information and use our **reward calculator **to find out the total value of pay and benefits provided.
The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.
The School of Informatics is one of the largest research centres in Computer Science in Europe, and it has been ranked #1 in the UK in terms of research power by a large margin. Informatics, Edinburgh is world renowned in Machine Learning, publishing in all the top venues in these fields. We are offering an exciting opportunity to work in an interdisciplinary, collaborative, friendly, and supportive environment, integrating different sub-fields of within Artificial Intelligence.
We welcome both local (UK-resident) and international applicants. This position will include funding for international travel - e.g., for attending conferences, visiting research collaborators, and disseminating research findings. Furthermore, the researcher will have access to the computing infrastructure and office spaces available within Informatics and the research groups.
If invited for interview you will be required to evidence your right to work in the UK. Further information is available on our **right to work **webpages.
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